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prl900/lignum_drone.ipynb

Created April 22, 2022 01:59
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Notebook for downloading S2 data from the DEA Sandbox
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lignum_drone.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "73da3c9a-bf6e-4a0f-a165-6e6a269be234",
"metadata": {},
"source": [
"### Define temporal and spatial extents in DEA load query object "
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "b1927514-f5e3-45aa-a777-7c454b626ae6",
"metadata": {},
"outputs": [],
"source": [
"import datacube\n",
"\n",
"dc = datacube.Datacube(app=\"Lignum\")\n",
"\n",
"query = {\n",
" \"x\": (140.57, 140.59),\n",
" \"y\": (-34.35, -34.36),\n",
" \"time\": (\"2021-08-15\", \"2021-09-15\"),\n",
" \"output_crs\": \"EPSG:7854\",\n",
" \"resolution\": (-10, 10),\n",
" \"group_by\": \"solar_day\",\n",
"}"
]
},
{
"cell_type": "markdown",
"id": "049d2809-6d4a-4dbf-a2db-3c2758c10453",
"metadata": {},
"source": [
"### Run query for Sentinel-2A collection"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "7a637a2e-aa05-4103-aed6-858667e392b4",
"metadata": {},
"outputs": [
{
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time: 3, y: 113, x: 185)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2021-08-24T00:46:30.141931 ....\n",
" * y (y) float64 6.199e+06 6.199e+06 ... 6.198e+06\n",
" * x (x) float64 4.605e+05 4.605e+05 ... 4.623e+05\n",
" spatial_ref int32 7854\n",
"Data variables: (12/24)\n",
" azimuthal_exiting (time, y, x) float32 49.03 57.56 ... 130.6 130.6\n",
" azimuthal_incident (time, y, x) float32 -0.5319 12.59 ... 38.6 38.6\n",
" exiting (time, y, x) float32 7.123 6.656 ... 3.506 3.506\n",
" incident (time, y, x) float32 58.97 59.11 ... 47.49 47.49\n",
" relative_azimuth (time, y, x) float32 244.6 244.6 ... 241.5 241.5\n",
" relative_slope (time, y, x) float32 -49.57 -44.98 ... -91.98 -91.98\n",
" ... ...\n",
" nbart_red_edge_2 (time, y, x) int16 1801 1691 1691 ... 646 691 691\n",
" nbart_red_edge_3 (time, y, x) int16 1977 1803 1803 ... 684 711 711\n",
" nbart_nir_1 (time, y, x) int16 1752 1722 1754 ... 716 708 749\n",
" nbart_nir_2 (time, y, x) int16 2131 2214 2214 ... 742 802 802\n",
" nbart_swir_2 (time, y, x) int16 2084 1965 1965 ... 872 886 886\n",
" nbart_swir_3 (time, y, x) int16 1543 1328 1328 ... 677 669 669\n",
"Attributes:\n",
" crs: EPSG:7854\n",
" grid_mapping: spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e8d2cbf3-beb6-4172-ac0d-e73cba514d54' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e8d2cbf3-beb6-4172-ac0d-e73cba514d54' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span class='xr-has-index'>y</span>: 113</li><li><span class='xr-has-index'>x</span>: 185</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-470cf3a7-82fd-4034-8edc-84ae11b64f0a' class='xr-section-summary-in' type='checkbox' checked><label for='section-470cf3a7-82fd-4034-8edc-84ae11b64f0a' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-08-24T00:46:30.141931 ... 2...</div><input id='attrs-3b60b423-c9ca-4cd9-83ac-c4f8ff981b70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b60b423-c9ca-4cd9-83ac-c4f8ff981b70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-795089f4-e51f-46a4-aa9a-d848fc483a2e' class='xr-var-data-in' type='checkbox'><label for='data-795089f4-e51f-46a4-aa9a-d848fc483a2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-08-24T00:46:30.141931000&#x27;, &#x27;2021-09-03T00:46:29.069382000&#x27;,\n",
" &#x27;2021-09-13T00:46:28.938832000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.199e+06 6.199e+06 ... 6.198e+06</div><input id='attrs-ac74c95d-3335-4365-9d8c-e0a9ceb0d968' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac74c95d-3335-4365-9d8c-e0a9ceb0d968' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73e114be-8ce6-4427-bdc8-ef0b22a7f090' class='xr-var-data-in' type='checkbox'><label for='data-73e114be-8ce6-4427-bdc8-ef0b22a7f090' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-10.0</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd></dl></div><div class='xr-var-data'><pre>array([6198965., 6198955., 6198945., 6198935., 6198925., 6198915., 6198905.,\n",
" 6198895., 6198885., 6198875., 6198865., 6198855., 6198845., 6198835.,\n",
" 6198825., 6198815., 6198805., 6198795., 6198785., 6198775., 6198765.,\n",
" 6198755., 6198745., 6198735., 6198725., 6198715., 6198705., 6198695.,\n",
" 6198685., 6198675., 6198665., 6198655., 6198645., 6198635., 6198625.,\n",
" 6198615., 6198605., 6198595., 6198585., 6198575., 6198565., 6198555.,\n",
" 6198545., 6198535., 6198525., 6198515., 6198505., 6198495., 6198485.,\n",
" 6198475., 6198465., 6198455., 6198445., 6198435., 6198425., 6198415.,\n",
" 6198405., 6198395., 6198385., 6198375., 6198365., 6198355., 6198345.,\n",
" 6198335., 6198325., 6198315., 6198305., 6198295., 6198285., 6198275.,\n",
" 6198265., 6198255., 6198245., 6198235., 6198225., 6198215., 6198205.,\n",
" 6198195., 6198185., 6198175., 6198165., 6198155., 6198145., 6198135.,\n",
" 6198125., 6198115., 6198105., 6198095., 6198085., 6198075., 6198065.,\n",
" 6198055., 6198045., 6198035., 6198025., 6198015., 6198005., 6197995.,\n",
" 6197985., 6197975., 6197965., 6197955., 6197945., 6197935., 6197925.,\n",
" 6197915., 6197905., 6197895., 6197885., 6197875., 6197865., 6197855.,\n",
" 6197845.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.605e+05 4.605e+05 ... 4.623e+05</div><input id='attrs-3ab4f9f7-c8d6-45da-b870-efce0c4343cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ab4f9f7-c8d6-45da-b870-efce0c4343cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c24e4368-7f9f-4c2a-8e51-2f7d1ef77a1f' class='xr-var-data-in' type='checkbox'><label for='data-c24e4368-7f9f-4c2a-8e51-2f7d1ef77a1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>10.0</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd></dl></div><div class='xr-var-data'><pre>array([460455., 460465., 460475., 460485., 460495., 460505., 460515., 460525.,\n",
" 460535., 460545., 460555., 460565., 460575., 460585., 460595., 460605.,\n",
" 460615., 460625., 460635., 460645., 460655., 460665., 460675., 460685.,\n",
" 460695., 460705., 460715., 460725., 460735., 460745., 460755., 460765.,\n",
" 460775., 460785., 460795., 460805., 460815., 460825., 460835., 460845.,\n",
" 460855., 460865., 460875., 460885., 460895., 460905., 460915., 460925.,\n",
" 460935., 460945., 460955., 460965., 460975., 460985., 460995., 461005.,\n",
" 461015., 461025., 461035., 461045., 461055., 461065., 461075., 461085.,\n",
" 461095., 461105., 461115., 461125., 461135., 461145., 461155., 461165.,\n",
" 461175., 461185., 461195., 461205., 461215., 461225., 461235., 461245.,\n",
" 461255., 461265., 461275., 461285., 461295., 461305., 461315., 461325.,\n",
" 461335., 461345., 461355., 461365., 461375., 461385., 461395., 461405.,\n",
" 461415., 461425., 461435., 461445., 461455., 461465., 461475., 461485.,\n",
" 461495., 461505., 461515., 461525., 461535., 461545., 461555., 461565.,\n",
" 461575., 461585., 461595., 461605., 461615., 461625., 461635., 461645.,\n",
" 461655., 461665., 461675., 461685., 461695., 461705., 461715., 461725.,\n",
" 461735., 461745., 461755., 461765., 461775., 461785., 461795., 461805.,\n",
" 461815., 461825., 461835., 461845., 461855., 461865., 461875., 461885.,\n",
" 461895., 461905., 461915., 461925., 461935., 461945., 461955., 461965.,\n",
" 461975., 461985., 461995., 462005., 462015., 462025., 462035., 462045.,\n",
" 462055., 462065., 462075., 462085., 462095., 462105., 462115., 462125.,\n",
" 462135., 462145., 462155., 462165., 462175., 462185., 462195., 462205.,\n",
" 462215., 462225., 462235., 462245., 462255., 462265., 462275., 462285.,\n",
" 462295.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>7854</div><input id='attrs-eafa04f2-7adc-47f1-831a-44eaff232c08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eafa04f2-7adc-47f1-831a-44eaff232c08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71e7889b-f71b-45bd-abd0-27c97754b12c' class='xr-var-data-in' type='checkbox'><label for='data-71e7889b-f71b-45bd-abd0-27c97754b12c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;GDA2020 / MGA zone 54&quot;,GEOGCS[&quot;GDA2020&quot;,DATUM[&quot;Geocentric_Datum_of_Australia_2020&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1168&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;7844&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,141],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,10000000],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;7854&quot;]]</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd></dl></div><div class='xr-var-data'><pre>array(7854, dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bda0b138-671d-43f4-9339-bfe7ba500452' class='xr-section-summary-in' type='checkbox' ><label for='section-bda0b138-671d-43f4-9339-bfe7ba500452' class='xr-section-summary' >Data variables: <span>(24)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>azimuthal_exiting</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>49.03 57.56 57.56 ... 130.6 130.6</div><input id='attrs-92359c47-e6db-4cb9-9f16-0731124cdb1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92359c47-e6db-4cb9-9f16-0731124cdb1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24f0ab62-a609-4ba4-8edd-c4c60d6684fc' class='xr-var-data-in' type='checkbox'><label for='data-24f0ab62-a609-4ba4-8edd-c4c60d6684fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 49.03346 , 57.56224 , 57.56224 , ..., -164.9533 ,\n",
" -163.99246 , -163.99246 ],\n",
" [ 73.907364, 84.31542 , 84.31542 , ..., -159.82843 ,\n",
" -153.2993 , -153.2993 ],\n",
" [ 73.907364, 84.31542 , 84.31542 , ..., -159.82843 ,\n",
" -153.2993 , -153.2993 ],\n",
" ...,\n",
" [ -48.55785 , -84.46939 , -84.46939 , ..., 143.8443 ,\n",
" 127.21794 , 127.21794 ],\n",
" [ -21.35113 , -21.595842, -21.595842, ..., 159.05765 ,\n",
" 130.36691 , 130.36691 ],\n",
" [ -21.35113 , -21.595842, -21.595842, ..., 159.05765 ,\n",
" 130.36691 , 130.36691 ]],\n",
"\n",
" [[ 48.991596, 57.515766, 57.515766, ..., -165.03876 ,\n",
" -164.0629 , -164.0629 ],\n",
" [ 73.85126 , 84.248695, 84.248695, ..., -159.91801 ,\n",
" -153.3648 , -153.3648 ],\n",
" [ 73.85126 , 84.248695, 84.248695, ..., -159.91801 ,\n",
" -153.3648 , -153.3648 ],\n",
"...\n",
" [ -48.56405 , -84.4685 , -84.4685 , ..., 143.78363 ,\n",
" 127.17342 , 127.17342 ],\n",
" [ -21.3122 , -21.5568 , -21.5568 , ..., 159.01033 ,\n",
" 130.32425 , 130.32425 ],\n",
" [ -21.3122 , -21.5568 , -21.5568 , ..., 159.01033 ,\n",
" 130.32425 , 130.32425 ]],\n",
"\n",
" [[ 49.24661 , 57.79894 , 57.79894 , ..., -164.52357 ,\n",
" -163.6381 , -163.6381 ],\n",
" [ 74.192604, 84.65502 , 84.65502 , ..., -159.37834 ,\n",
" -152.96999 , -152.96999 ],\n",
" [ 74.192604, 84.65502 , 84.65502 , ..., -159.37834 ,\n",
" -152.96999 , -152.96999 ],\n",
" ...,\n",
" [ -48.526443, -84.473946, -84.473946, ..., 144.15105 ,\n",
" 127.44327 , 127.44327 ],\n",
" [ -21.54916 , -21.794455, -21.794455, ..., 159.29668 ,\n",
" 130.58263 , 130.58263 ],\n",
" [ -21.54916 , -21.794455, -21.794455, ..., 159.29668 ,\n",
" 130.58263 , 130.58263 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>azimuthal_incident</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.5319 12.59 12.59 ... 38.6 38.6</div><input id='attrs-7873efc4-89ad-415c-9364-1ec873b8657c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7873efc4-89ad-415c-9364-1ec873b8657c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18593b6c-5305-4115-a7ee-c54b73d9bb1e' class='xr-var-data-in' type='checkbox'><label for='data-18593b6c-5305-4115-a7ee-c54b73d9bb1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ -0.5318805, 12.585668 , 12.585668 , ..., 110.71655 ,\n",
" 107.90972 , 107.90972 ],\n",
" [ 15.601307 , 38.516396 , 38.516396 , ..., 115.403625 ,\n",
" 115.299576 , 115.299576 ],\n",
" [ 15.601307 , 38.516396 , 38.516396 , ..., 115.403625 ,\n",
" 115.299576 , 115.299576 ],\n",
" ...,\n",
" [-156.56294 , 160.34232 , 160.34232 , ..., 62.558426 ,\n",
" 39.980858 , 39.980858 ],\n",
" [ 169.41866 , 168.27618 , 168.27618 , ..., 69.16338 ,\n",
" 41.609085 , 41.609085 ],\n",
" [ 169.41866 , 168.27618 , 168.27618 , ..., 69.16338 ,\n",
" 41.609085 , 41.609085 ]],\n",
"\n",
" [[ -1.6984546, 11.3561125, 11.3561125, ..., 109.15624 ,\n",
" 106.36254 , 106.36254 ],\n",
" [ 14.290899 , 37.139526 , 37.139526 , ..., 113.8324 ,\n",
" 113.7416 , 113.7416 ],\n",
" [ 14.290899 , 37.139526 , 37.139526 , ..., 113.8324 ,\n",
" 113.7416 , 113.7416 ],\n",
"...\n",
" [-157.8425 , 159.01176 , 159.01176 , ..., 61.095367 ,\n",
" 38.554188 , 38.554188 ],\n",
" [ 167.60895 , 166.45447 , 166.45447 , ..., 67.691025 ,\n",
" 40.17848 , 40.17848 ],\n",
" [ 167.60895 , 166.45447 , 166.45447 , ..., 67.691025 ,\n",
" 40.17848 , 40.17848 ]],\n",
"\n",
" [[ -2.9491665, 10.032998 , 10.032998 , ..., 107.43195 ,\n",
" 104.65286 , 104.65286 ],\n",
" [ 12.866824 , 35.641052 , 35.641052 , ..., 112.095245 ,\n",
" 112.0187 , 112.0187 ],\n",
" [ 12.866824 , 35.641052 , 35.641052 , ..., 112.095245 ,\n",
" 112.0187 , 112.0187 ],\n",
" ...,\n",
" [-159.24733 , 157.54437 , 157.54437 , ..., 59.485504 ,\n",
" 36.98537 , 36.98537 ],\n",
" [ 165.54991 , 164.38063 , 164.38063 , ..., 66.068214 ,\n",
" 38.60465 , 38.60465 ],\n",
" [ 165.54991 , 164.38063 , 164.38063 , ..., 66.068214 ,\n",
" 38.60465 , 38.60465 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>exiting</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>7.123 6.656 6.656 ... 3.506 3.506</div><input id='attrs-9266ccd2-b64d-4940-b3c2-31b80f00b363' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9266ccd2-b64d-4940-b3c2-31b80f00b363' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e58119a2-76f0-4cb2-9317-eb743a9fc1ab' class='xr-var-data-in' type='checkbox'><label for='data-e58119a2-76f0-4cb2-9317-eb743a9fc1ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[7.123179 , 6.656465 , 6.656465 , ..., 2.057379 , 2.2215824,\n",
" 2.2215824],\n",
" [4.909077 , 4.633457 , 4.633457 , ..., 1.9430977, 2.134142 ,\n",
" 2.134142 ],\n",
" [4.909077 , 4.633457 , 4.633457 , ..., 1.9430977, 2.134142 ,\n",
" 2.134142 ],\n",
" ...,\n",
" [5.6174383, 5.461025 , 5.461025 , ..., 3.0800056, 3.5049813,\n",
" 3.5049813],\n",
" [6.692107 , 6.7469196, 6.7469196, ..., 3.0463254, 3.4799218,\n",
" 3.4799218],\n",
" [6.692107 , 6.7469196, 6.7469196, ..., 3.0463254, 3.4799218,\n",
" 3.4799218]],\n",
"\n",
" [[7.1207275, 6.654491 , 6.654491 , ..., 2.0524263, 2.216555 ,\n",
" 2.216555 ],\n",
" [4.9059234, 4.6314697, 4.6314697, ..., 1.9382572, 2.1289084,\n",
" 2.1289084],\n",
" [4.9059234, 4.6314697, 4.6314697, ..., 1.9382572, 2.1289084,\n",
" 2.1289084],\n",
"...\n",
" [5.611714 , 5.4553165, 5.4553165, ..., 3.075235 , 3.5000062,\n",
" 3.5000062],\n",
" [6.6885896, 6.7434597, 6.7434597, ..., 3.0411801, 3.4747417,\n",
" 3.4747417],\n",
" [6.6885896, 6.7434597, 6.7434597, ..., 3.0411801, 3.4747417,\n",
" 3.4747417]],\n",
"\n",
" [[7.135699 , 6.666592 , 6.666592 , ..., 2.082153 , 2.2473345,\n",
" 2.2473345],\n",
" [4.925214 , 4.643635 , 4.643635 , ..., 1.9681166, 2.160664 ,\n",
" 2.160664 ],\n",
" [4.925214 , 4.643635 , 4.643635 , ..., 1.9681166, 2.160664 ,\n",
" 2.160664 ],\n",
" ...,\n",
" [5.64653 , 5.4903007, 5.4903007, ..., 3.1041274, 3.5307505,\n",
" 3.5307505],\n",
" [6.710077 , 6.764541 , 6.764541 , ..., 3.0726874, 3.5059867,\n",
" 3.5059867],\n",
" [6.710077 , 6.764541 , 6.764541 , ..., 3.0726874, 3.5059867,\n",
" 3.5059867]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>incident</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>58.97 59.11 59.11 ... 47.49 47.49</div><input id='attrs-4045c553-9811-46ad-86ee-9ed615ea3a15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4045c553-9811-46ad-86ee-9ed615ea3a15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70cb0d47-79a6-4076-87b4-035d062ac0a8' class='xr-var-data-in' type='checkbox'><label for='data-70cb0d47-79a6-4076-87b4-035d062ac0a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[58.973972, 59.10554 , 59.10554 , ..., 54.750816, 54.61721 ,\n",
" 54.61721 ],\n",
" [56.998768, 57.689655, 57.689655, ..., 54.727814, 54.493877,\n",
" 54.493877],\n",
" [56.998768, 57.689655, 57.689655, ..., 54.727814, 54.493877,\n",
" 54.493877],\n",
" ...,\n",
" [52.620182, 52.05804 , 52.05804 , ..., 54.999264, 54.683292,\n",
" 54.683292],\n",
" [47.955105, 47.884438, 47.884438, ..., 54.53804 , 54.59092 ,\n",
" 54.59092 ],\n",
" [47.955105, 47.884438, 47.884438, ..., 54.53804 , 54.59092 ,\n",
" 54.59092 ]],\n",
"\n",
" [[55.484905, 55.63228 , 55.63228 , ..., 51.347656, 51.209423,\n",
" 51.209423],\n",
" [53.53811 , 54.249603, 54.249603, ..., 51.327736, 51.08848 ,\n",
" 51.08848 ],\n",
" [53.53811 , 54.249603, 54.249603, ..., 51.327736, 51.08848 ,\n",
" 51.08848 ],\n",
"...\n",
" [49.13441 , 48.58134 , 48.58134 , ..., 51.56987 , 51.242474,\n",
" 51.242474],\n",
" [44.57469 , 44.506798, 44.506798, ..., 51.108753, 51.15068 ,\n",
" 51.15068 ],\n",
" [44.57469 , 44.506798, 44.506798, ..., 51.108753, 51.15068 ,\n",
" 51.15068 ]],\n",
"\n",
" [[51.771175, 51.935448, 51.935448, ..., 47.730236, 47.58701 ,\n",
" 47.58701 ],\n",
" [49.856075, 50.58954 , 50.58954 , ..., 47.71374 , 47.46884 ,\n",
" 47.46884 ],\n",
" [49.856075, 50.58954 , 50.58954 , ..., 47.71374 , 47.46884 ,\n",
" 47.46884 ],\n",
" ...,\n",
" [45.42752 , 44.884758, 44.884758, ..., 47.923355, 47.58364 ,\n",
" 47.58364 ],\n",
" [40.98971 , 40.925045, 40.925045, ..., 47.46271 , 47.492542,\n",
" 47.492542],\n",
" [40.98971 , 40.925045, 40.925045, ..., 47.46271 , 47.492542,\n",
" 47.492542]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>relative_azimuth</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>244.6 244.6 244.6 ... 241.5 241.5</div><input id='attrs-2a04713d-1b63-412a-aa46-95b07ea50f9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a04713d-1b63-412a-aa46-95b07ea50f9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9adfe2e3-4129-46e7-b771-f9714d823cf2' class='xr-var-data-in' type='checkbox'><label for='data-9adfe2e3-4129-46e7-b771-f9714d823cf2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[244.55356, 244.5538 , 244.5538 , ..., 244.57437, 244.57462,\n",
" 244.57462],\n",
" [244.55368, 244.55391, 244.55391, ..., 244.57448, 244.57472,\n",
" 244.57472],\n",
" [244.55368, 244.55391, 244.55391, ..., 244.57448, 244.57472,\n",
" 244.57472],\n",
" ...,\n",
" [244.55908, 244.55931, 244.55931, ..., 244.57993, 244.58015,\n",
" 244.58015],\n",
" [244.55919, 244.55942, 244.55942, ..., 244.58 , 244.58023,\n",
" 244.58023],\n",
" [244.55919, 244.55942, 244.55942, ..., 244.58 , 244.58023,\n",
" 244.58023]],\n",
"\n",
" [[243.09248, 243.09271, 243.09271, ..., 243.11441, 243.11465,\n",
" 243.11465],\n",
" [243.09259, 243.09283, 243.09283, ..., 243.11453, 243.11478,\n",
" 243.11478],\n",
" [243.09259, 243.09283, 243.09283, ..., 243.11453, 243.11478,\n",
" 243.11478],\n",
"...\n",
" [243.09875, 243.099 , 243.099 , ..., 243.12067, 243.12091,\n",
" 243.12091],\n",
" [243.09888, 243.09912, 243.09912, ..., 243.12079, 243.12103,\n",
" 243.12103],\n",
" [243.09888, 243.09912, 243.09912, ..., 243.12079, 243.12103,\n",
" 243.12103]],\n",
"\n",
" [[241.47458, 241.47485, 241.47485, ..., 241.49776, 241.49802,\n",
" 241.49802],\n",
" [241.47473, 241.47496, 241.47496, ..., 241.4979 , 241.49815,\n",
" 241.49815],\n",
" [241.47473, 241.47496, 241.47496, ..., 241.4979 , 241.49815,\n",
" 241.49815],\n",
" ...,\n",
" [241.48177, 241.48203, 241.48203, ..., 241.50497, 241.50519,\n",
" 241.50519],\n",
" [241.4819 , 241.48216, 241.48216, ..., 241.50508, 241.50534,\n",
" 241.50534],\n",
" [241.4819 , 241.48216, 241.48216, ..., 241.50508, 241.50534,\n",
" 241.50534]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>relative_slope</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.57 -44.98 ... -91.98 -91.98</div><input id='attrs-812ef674-0a71-4f69-810a-889d38a4449b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-812ef674-0a71-4f69-810a-889d38a4449b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50d99c08-841f-43e2-9a00-ab11bb27dd4e' class='xr-var-data-in' type='checkbox'><label for='data-50d99c08-841f-43e2-9a00-ab11bb27dd4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ -49.56534 , -44.976574, -44.976574, ..., -84.33014 ,\n",
" -88.09781 , -88.09781 ],\n",
" [ -58.306057, -45.799026, -45.799026, ..., -84.767944,\n",
" -91.40112 , -91.40112 ],\n",
" [ -58.306057, -45.799026, -45.799026, ..., -84.767944,\n",
" -91.40112 , -91.40112 ],\n",
" ...,\n",
" [-108.0051 , -115.18829 , -115.18829 , ..., -81.28587 ,\n",
" -87.23708 , -87.23708 ],\n",
" [-169.23021 , -170.12798 , -170.12798 , ..., -89.894264,\n",
" -88.75783 , -88.75783 ],\n",
" [-169.23021 , -170.12798 , -170.12798 , ..., -89.894264,\n",
" -88.75783 , -88.75783 ]],\n",
"\n",
" [[ -50.690052, -46.159653, -46.159653, ..., -85.80499 ,\n",
" -89.574554, -89.574554],\n",
" [ -59.560356, -47.10917 , -47.10917 , ..., -86.24957 ,\n",
" -92.893585, -92.893585],\n",
" [ -59.560356, -47.10917 , -47.10917 , ..., -86.24957 ,\n",
" -92.893585, -92.893585],\n",
"...\n",
" [-109.27845 , -116.519745, -116.519745, ..., -82.68826 ,\n",
" -88.61923 , -88.61923 ],\n",
" [-171.07886 , -171.98874 , -171.98874 , ..., -91.319305,\n",
" -90.14577 , -90.14577 ],\n",
" [-171.07886 , -171.98874 , -171.98874 , ..., -91.319305,\n",
" -90.14577 , -90.14577 ]],\n",
"\n",
" [[ -52.195774, -47.76594 , -47.76594 , ..., -88.044464,\n",
" -91.709045, -91.709045],\n",
" [ -61.32578 , -49.01397 , -49.01397 , ..., -88.52643 ,\n",
" -95.01132 , -95.01132 ],\n",
" [ -61.32578 , -49.01397 , -49.01397 , ..., -88.52643 ,\n",
" -95.01132 , -95.01132 ],\n",
" ...,\n",
" [-110.72089 , -117.98169 , -117.98169 , ..., -84.66554 ,\n",
" -90.4579 , -90.4579 ],\n",
" [-172.90092 , -173.82492 , -173.82492 , ..., -93.22846 ,\n",
" -91.97798 , -91.97798 ],\n",
" [-172.90092 , -173.82492 , -173.82492 , ..., -93.22846 ,\n",
" -91.97798 , -91.97798 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>satellite_azimuth</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>280.4 280.4 280.4 ... 280.4 280.4</div><input id='attrs-643d7313-a663-4eb3-ba67-b85e8eb58086' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-643d7313-a663-4eb3-ba67-b85e8eb58086' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8bae6e0-fc4d-439d-862d-baa2ef0d51fb' class='xr-var-data-in' type='checkbox'><label for='data-c8bae6e0-fc4d-439d-862d-baa2ef0d51fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[280.42694, 280.42694, 280.42694, ..., 280.4265 , 280.4265 ,\n",
" 280.4265 ],\n",
" [280.42697, 280.42697, 280.42697, ..., 280.42654, 280.42654,\n",
" 280.42654],\n",
" [280.42697, 280.42697, 280.42697, ..., 280.42654, 280.42654,\n",
" 280.42654],\n",
" ...,\n",
" [280.4281 , 280.4281 , 280.4281 , ..., 280.4277 , 280.4277 ,\n",
" 280.4277 ],\n",
" [280.42813, 280.42813, 280.42813, ..., 280.4277 , 280.4277 ,\n",
" 280.4277 ],\n",
" [280.42813, 280.42813, 280.42813, ..., 280.4277 , 280.4277 ,\n",
" 280.4277 ]],\n",
"\n",
" [[280.42697, 280.42694, 280.42694, ..., 280.42654, 280.42654,\n",
" 280.42654],\n",
" [280.42697, 280.42697, 280.42697, ..., 280.42657, 280.42657,\n",
" 280.42657],\n",
" [280.42697, 280.42697, 280.42697, ..., 280.42657, 280.42657,\n",
" 280.42657],\n",
"...\n",
" [280.42813, 280.42813, 280.42813, ..., 280.4277 , 280.4277 ,\n",
" 280.4277 ],\n",
" [280.42816, 280.42816, 280.42816, ..., 280.42773, 280.42773,\n",
" 280.42773],\n",
" [280.42816, 280.42816, 280.42816, ..., 280.42773, 280.42773,\n",
" 280.42773]],\n",
"\n",
" [[280.42685, 280.42685, 280.42685, ..., 280.42642, 280.42642,\n",
" 280.42642],\n",
" [280.42688, 280.42685, 280.42685, ..., 280.42645, 280.42645,\n",
" 280.42645],\n",
" [280.42688, 280.42685, 280.42685, ..., 280.42645, 280.42645,\n",
" 280.42645],\n",
" ...,\n",
" [280.428 , 280.428 , 280.428 , ..., 280.4276 , 280.42758,\n",
" 280.42758],\n",
" [280.42804, 280.42804, 280.42804, ..., 280.4276 , 280.4276 ,\n",
" 280.4276 ],\n",
" [280.42804, 280.42804, 280.42804, ..., 280.4276 , 280.4276 ,\n",
" 280.4276 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>satellite_view</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.803 3.805 3.805 ... 3.982 3.982</div><input id='attrs-01b5a408-aac1-45a3-84b3-013486923f0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01b5a408-aac1-45a3-84b3-013486923f0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73c88b49-4138-4155-9a29-3fe6c694836a' class='xr-var-data-in' type='checkbox'><label for='data-73c88b49-4138-4155-9a29-3fe6c694836a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[3.8034074, 3.8048303, 3.8048303, ..., 3.9328594, 3.9342816,\n",
" 3.9342816],\n",
" [3.803739 , 3.805162 , 3.805162 , ..., 3.9331908, 3.9346132,\n",
" 3.9346132],\n",
" [3.803739 , 3.805162 , 3.805162 , ..., 3.9331908, 3.9346132,\n",
" 3.9346132],\n",
" ...,\n",
" [3.8216472, 3.82307 , 3.82307 , ..., 3.9510934, 3.9525156,\n",
" 3.9525156],\n",
" [3.8219788, 3.8234015, 3.8234015, ..., 3.9514248, 3.952847 ,\n",
" 3.952847 ],\n",
" [3.8219788, 3.8234015, 3.8234015, ..., 3.9514248, 3.952847 ,\n",
" 3.952847 ]],\n",
"\n",
" [[3.7976694, 3.7990923, 3.7990923, ..., 3.9271233, 3.9285455,\n",
" 3.9285455],\n",
" [3.7980013, 3.799424 , 3.799424 , ..., 3.9274547, 3.928877 ,\n",
" 3.928877 ],\n",
" [3.7980013, 3.799424 , 3.799424 , ..., 3.9274547, 3.928877 ,\n",
" 3.928877 ],\n",
"...\n",
" [3.81591 , 3.817333 , 3.817333 , ..., 3.9453583, 3.9467804,\n",
" 3.9467804],\n",
" [3.8162417, 3.8176646, 3.8176646, ..., 3.9456897, 3.947112 ,\n",
" 3.947112 ],\n",
" [3.8162417, 3.8176646, 3.8176646, ..., 3.9456897, 3.947112 ,\n",
" 3.947112 ]],\n",
"\n",
" [[3.8326852, 3.8341079, 3.8341079, ..., 3.9621274, 3.9635496,\n",
" 3.9635496],\n",
" [3.8330169, 3.8344395, 3.8344395, ..., 3.9624588, 3.963881 ,\n",
" 3.963881 ],\n",
" [3.8330169, 3.8344395, 3.8344395, ..., 3.9624588, 3.963881 ,\n",
" 3.963881 ],\n",
" ...,\n",
" [3.8509202, 3.8523428, 3.8523428, ..., 3.9803567, 3.9817789,\n",
" 3.9817789],\n",
" [3.8512518, 3.8526745, 3.8526745, ..., 3.980688 , 3.9821103,\n",
" 3.9821103],\n",
" [3.8512518, 3.8526745, 3.8526745, ..., 3.980688 , 3.9821103,\n",
" 3.9821103]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>solar_azimuth</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>35.87 35.87 35.87 ... 38.92 38.92</div><input id='attrs-e413fa5a-a836-4160-8854-8de71bdbc34e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e413fa5a-a836-4160-8854-8de71bdbc34e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6b43414-73fd-489c-bda7-d5e7cbecc2b8' class='xr-var-data-in' type='checkbox'><label for='data-f6b43414-73fd-489c-bda7-d5e7cbecc2b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[35.873375, 35.873142, 35.873142, ..., 35.85214 , 35.851906,\n",
" 35.851906],\n",
" [35.873295, 35.873062, 35.873062, ..., 35.852062, 35.851826,\n",
" 35.851826],\n",
" [35.873295, 35.873062, 35.873062, ..., 35.852062, 35.851826,\n",
" 35.851826],\n",
" ...,\n",
" [35.869022, 35.86879 , 35.86879 , ..., 35.847786, 35.847553,\n",
" 35.847553],\n",
" [35.868942, 35.86871 , 35.86871 , ..., 35.847706, 35.847473,\n",
" 35.847473],\n",
" [35.868942, 35.86871 , 35.86871 , ..., 35.847706, 35.847473,\n",
" 35.847473]],\n",
"\n",
" [[37.334484, 37.334236, 37.334236, ..., 37.31214 , 37.311893,\n",
" 37.311893],\n",
" [37.33439 , 37.334145, 37.334145, ..., 37.312046, 37.311802,\n",
" 37.311802],\n",
" [37.33439 , 37.334145, 37.334145, ..., 37.312046, 37.311802,\n",
" 37.311802],\n",
"...\n",
" [37.329384, 37.329136, 37.329136, ..., 37.307037, 37.306793,\n",
" 37.306793],\n",
" [37.32929 , 37.329044, 37.329044, ..., 37.306946, 37.3067 ,\n",
" 37.3067 ],\n",
" [37.32929 , 37.329044, 37.329044, ..., 37.306946, 37.3067 ,\n",
" 37.3067 ]],\n",
"\n",
" [[38.952263, 38.952003, 38.952003, ..., 38.928665, 38.928406,\n",
" 38.928406],\n",
" [38.952152, 38.951893, 38.951893, ..., 38.928555, 38.928295,\n",
" 38.928295],\n",
" [38.952152, 38.951893, 38.951893, ..., 38.928555, 38.928295,\n",
" 38.928295],\n",
" ...,\n",
" [38.946243, 38.945984, 38.945984, ..., 38.922646, 38.922386,\n",
" 38.922386],\n",
" [38.946136, 38.945877, 38.945877, ..., 38.922535, 38.922276,\n",
" 38.922276],\n",
" [38.946136, 38.945877, 38.945877, ..., 38.922535, 38.922276,\n",
" 38.922276]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>solar_zenith</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>52.81 52.81 52.81 ... 45.71 45.71</div><input id='attrs-c6baff48-b08e-4923-9775-d9a5d7a5d317' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6baff48-b08e-4923-9775-d9a5d7a5d317' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e165a08b-c6f1-4a5c-993f-141c5915654a' class='xr-var-data-in' type='checkbox'><label for='data-e165a08b-c6f1-4a5c-993f-141c5915654a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[52.813866, 52.813763, 52.813763, ..., 52.80436 , 52.804253,\n",
" 52.804253],\n",
" [52.814014, 52.813908, 52.813908, ..., 52.804504, 52.8044 ,\n",
" 52.8044 ],\n",
" [52.814014, 52.813908, 52.813908, ..., 52.804504, 52.8044 ,\n",
" 52.8044 ],\n",
" ...,\n",
" [52.821922, 52.82182 , 52.82182 , ..., 52.812416, 52.812313,\n",
" 52.812313],\n",
" [52.82207 , 52.821964, 52.821964, ..., 52.81256 , 52.812458,\n",
" 52.812458],\n",
" [52.82207 , 52.821964, 52.821964, ..., 52.81256 , 52.812458,\n",
" 52.812458]],\n",
"\n",
" [[49.372425, 49.37232 , 49.37232 , ..., 49.362583, 49.362473,\n",
" 49.362473],\n",
" [49.37257 , 49.372463, 49.372463, ..., 49.362724, 49.362617,\n",
" 49.362617],\n",
" [49.37257 , 49.372463, 49.372463, ..., 49.362724, 49.362617,\n",
" 49.362617],\n",
"...\n",
" [49.380333, 49.380226, 49.380226, ..., 49.37049 , 49.37038 ,\n",
" 49.37038 ],\n",
" [49.380478, 49.38037 , 49.38037 , ..., 49.370636, 49.370525,\n",
" 49.370525],\n",
" [49.380478, 49.38037 , 49.38037 , ..., 49.370636, 49.370525,\n",
" 49.370525]],\n",
"\n",
" [[45.71427 , 45.71416 , 45.71416 , ..., 45.704063, 45.70395 ,\n",
" 45.70395 ],\n",
" [45.714413, 45.714302, 45.714302, ..., 45.7042 , 45.70409 ,\n",
" 45.70409 ],\n",
" [45.714413, 45.714302, 45.714302, ..., 45.7042 , 45.70409 ,\n",
" 45.70409 ],\n",
" ...,\n",
" [45.722008, 45.721897, 45.721897, ..., 45.7118 , 45.71169 ,\n",
" 45.71169 ],\n",
" [45.72215 , 45.72204 , 45.72204 , ..., 45.71194 , 45.71183 ,\n",
" 45.71183 ],\n",
" [45.72215 , 45.72204 , 45.72204 , ..., 45.71194 , 45.71183 ,\n",
" 45.71183 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>terrain_shadow</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1</div><input id='attrs-c44a47e8-9f01-435d-84f0-6354e62e0ae1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c44a47e8-9f01-435d-84f0-6354e62e0ae1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f93256e-3439-4ac7-bae3-3ae54fec6c95' class='xr-var-data-in' type='checkbox'><label for='data-3f93256e-3439-4ac7-bae3-3ae54fec6c95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>0</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]]], dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fmask</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 1 1 ... 3 3 3 3 3 3 3 3</div><input id='attrs-f919dfbd-099b-44f7-91dc-a6eec26fbc6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f919dfbd-099b-44f7-91dc-a6eec26fbc6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9bac9d2-7fa8-4ec7-aa86-1ed3c637a02a' class='xr-var-data-in' type='checkbox'><label for='data-c9bac9d2-7fa8-4ec7-aa86-1ed3c637a02a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>0</dd><dt><span>flags_definition :</span></dt><dd>{&#x27;fmask&#x27;: {&#x27;bits&#x27;: [0, 1, 2, 3, 4, 5, 6, 7], &#x27;values&#x27;: {&#x27;0&#x27;: &#x27;nodata&#x27;, &#x27;1&#x27;: &#x27;valid&#x27;, &#x27;2&#x27;: &#x27;cloud&#x27;, &#x27;3&#x27;: &#x27;shadow&#x27;, &#x27;4&#x27;: &#x27;snow&#x27;, &#x27;5&#x27;: &#x27;water&#x27;}, &#x27;description&#x27;: &#x27;Fmask&#x27;}}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [5, 5, 5, ..., 1, 1, 1],\n",
" [5, 5, 5, ..., 1, 1, 1],\n",
" [5, 5, 5, ..., 1, 1, 1]],\n",
"\n",
" [[2, 2, 2, ..., 2, 2, 2],\n",
" [2, 2, 2, ..., 2, 2, 2],\n",
" [2, 2, 2, ..., 2, 2, 2],\n",
" ...,\n",
" [2, 2, 2, ..., 2, 2, 2],\n",
" [2, 2, 2, ..., 2, 2, 2],\n",
" [2, 2, 2, ..., 2, 2, 2]],\n",
"\n",
" [[1, 1, 1, ..., 3, 3, 3],\n",
" [1, 1, 1, ..., 3, 3, 3],\n",
" [1, 1, 1, ..., 3, 3, 3],\n",
" ...,\n",
" [5, 5, 5, ..., 3, 3, 3],\n",
" [5, 5, 5, ..., 3, 3, 3],\n",
" [5, 5, 5, ..., 3, 3, 3]]], dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_contiguity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1</div><input id='attrs-b4a488e7-68e1-48d5-b32b-16bf2cafac18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4a488e7-68e1-48d5-b32b-16bf2cafac18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44066f1e-b0da-43e0-be68-d5a1ee51cba5' class='xr-var-data-in' type='checkbox'><label for='data-44066f1e-b0da-43e0-be68-d5a1ee51cba5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>255</dd><dt><span>flags_definition :</span></dt><dd>{&#x27;contiguity&#x27;: {&#x27;bits&#x27;: [0, 1, 2, 3, 4, 5, 6, 7], &#x27;values&#x27;: {&#x27;0&#x27;: &#x27;not_contiguous&#x27;, &#x27;1&#x27;: &#x27;contiguous&#x27;}, &#x27;description&#x27;: &#x27;Pixel contiguity in band stack&#x27;}}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]]], dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_coastal_aerosol</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>533 533 533 533 ... 480 480 480 480</div><input id='attrs-a5bec3f7-a0bb-4e84-bc35-b036fec7bee8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5bec3f7-a0bb-4e84-bc35-b036fec7bee8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea3d55a3-0e85-49b0-906d-da564969872c' class='xr-var-data-in' type='checkbox'><label for='data-ea3d55a3-0e85-49b0-906d-da564969872c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.015297, 0.067133, 0.19593, 0.357242, 0.460571, 0.511598, 0.551051, 0.587385, 0.613478, 0.650014, 0.699199, 0.74543, 0.792047, 0.862824, 0.947307, 0.993878, 1.0, 0.990178, 0.972897, 0.957042, 0.956726, 0.922389, 0.723933, 0.388302, 0.14596, 0.051814, 0.017459, 0.000303], &#x27;wavelength&#x27;: [430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 533, 533, 533, ..., 404, 404, 404],\n",
" [ 533, 533, 533, ..., 404, 404, 404],\n",
" [ 533, 533, 533, ..., 404, 404, 404],\n",
" ...,\n",
" [ 456, 456, 456, ..., 697, 697, 697],\n",
" [ 468, 468, 468, ..., 709, 709, 709],\n",
" [ 468, 468, 468, ..., 709, 709, 709]],\n",
"\n",
" [[5692, 5692, 5692, ..., 3256, 3256, 3256],\n",
" [5692, 5692, 5692, ..., 3256, 3256, 3256],\n",
" [5692, 5692, 5692, ..., 3256, 3256, 3256],\n",
" ...,\n",
" [4406, 4406, 4406, ..., 3402, 3402, 3402],\n",
" [4325, 4325, 4325, ..., 3312, 3312, 3312],\n",
" [4325, 4325, 4325, ..., 3312, 3312, 3312]],\n",
"\n",
" [[ 758, 758, 758, ..., 485, 485, 485],\n",
" [ 758, 758, 758, ..., 485, 485, 485],\n",
" [ 758, 758, 758, ..., 485, 485, 485],\n",
" ...,\n",
" [ 617, 617, 617, ..., 463, 463, 463],\n",
" [ 585, 585, 585, ..., 480, 480, 480],\n",
" [ 585, 585, 585, ..., 480, 480, 480]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_blue</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>522 418 355 619 ... 400 393 387 385</div><input id='attrs-14cfc119-9483-405d-9d4d-432d4bceb21e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14cfc119-9483-405d-9d4d-432d4bceb21e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4002ec8a-7ab8-4b40-8fc2-fedcebbeb3c2' class='xr-var-data-in' type='checkbox'><label for='data-4002ec8a-7ab8-4b40-8fc2-fedcebbeb3c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.001206, 0.00204, 0.002623, 0.002738, 0.002746, 0.002076, 0.003246, 0.002224, 0.002789, 0.003127, 0.002377, 0.003776, 0.002856, 0.003063, 0.00607, 0.009028, 0.019547, 0.038955, 0.084088, 0.176255, 0.292197, 0.364612, 0.382418, 0.385789, 0.393447, 0.400158, 0.410291, 0.424686, 0.449286, 0.481594, 0.505323, 0.523406, 0.529543, 0.534688, 0.533786, 0.534656, 0.5381, 0.543691, 0.557717, 0.578585, 0.601967, 0.616037, 0.621092, 0.613597, 0.596062, 0.575863, 0.558063, 0.546131, 0.542099, 0.553602, 0.571684, 0.598269, 0.633236, 0.67337, 0.711752, 0.738396, 0.758249, 0.768325, 0.773367, 0.780468, 0.788363, 0.795449, 0.809151, 0.824011, 0.837709, 0.844983, 0.847328, 0.840111, 0.825797, 0.804778, 0.78694, 0.771578, 0.761923, 0.765487, 0.781682, 0.810031, 0.850586, 0.901671, 0.95467, 0.987257, 1.0, 0.986389, 0.908308, 0.724, 0.478913, 0.286992, 0.169976, 0.102833, 0.065163, 0.04116, 0.02508, 0.013112, 0.002585, 0.001095, 0.000308, 0.000441, 0.0, 0.0, 0.000443], &#x27;wavelength&#x27;: [440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 522, 418, 355, ..., 478, 429, 448],\n",
" [ 839, 787, 620, ..., 499, 479, 444],\n",
" [ 854, 722, 510, ..., 502, 484, 466],\n",
" ...,\n",
" [ 687, 683, 677, ..., 922, 999, 931],\n",
" [ 670, 667, 641, ..., 869, 880, 941],\n",
" [ 639, 656, 632, ..., 786, 816, 925]],\n",
"\n",
" [[5445, 5451, 5432, ..., 3320, 3357, 3391],\n",
" [5368, 5418, 5441, ..., 3355, 3376, 3404],\n",
" [5283, 5355, 5367, ..., 3380, 3388, 3425],\n",
" ...,\n",
" [3903, 3874, 3855, ..., 3236, 3231, 3253],\n",
" [3817, 3794, 3813, ..., 3329, 3337, 3355],\n",
" [3756, 3722, 3696, ..., 3380, 3355, 3344]],\n",
"\n",
" [[ 802, 1057, 876, ..., 527, 529, 510],\n",
" [1030, 1204, 807, ..., 563, 563, 551],\n",
" [1042, 784, 854, ..., 570, 547, 544],\n",
" ...,\n",
" [ 746, 729, 739, ..., 408, 438, 438],\n",
" [ 732, 713, 732, ..., 388, 388, 437],\n",
" [ 706, 680, 687, ..., 393, 387, 385]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_green</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>597 684 554 701 ... 400 394 408 428</div><input id='attrs-3b559724-1f02-4133-8461-f0ea68b5ee5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b559724-1f02-4133-8461-f0ea68b5ee5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd8eaa68-977c-40a7-8990-ccc2ac5ecc57' class='xr-var-data-in' type='checkbox'><label for='data-dd8eaa68-977c-40a7-8990-ccc2ac5ecc57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.00084, 0.016372, 0.037688, 0.080665, 0.169509, 0.341374, 0.573031, 0.746711, 0.828036, 0.868228, 0.888565, 0.891572, 0.87815, 0.860271, 0.843698, 0.834035, 0.832617, 0.844968, 0.867734, 0.897361, 0.933938, 0.966923, 0.990762, 1.0, 0.997812, 0.981107, 0.947088, 0.907183, 0.868656, 0.837622, 0.81291, 0.792434, 0.7851, 0.789606, 0.807011, 0.830458, 0.846433, 0.858402, 0.85799, 0.799824, 0.62498, 0.386994, 0.200179, 0.098293, 0.042844, 0.016512], &#x27;wavelength&#x27;: [537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 597, 684, 554, ..., 721, 684, 709],\n",
" [ 968, 1108, 758, ..., 701, 702, 739],\n",
" [1036, 985, 682, ..., 718, 742, 761],\n",
" ...,\n",
" [1008, 1011, 1029, ..., 1144, 1257, 1236],\n",
" [ 996, 984, 1001, ..., 1090, 1203, 1178],\n",
" [ 953, 954, 958, ..., 1006, 1053, 1210]],\n",
"\n",
" [[5451, 5494, 5456, ..., 3261, 3273, 3284],\n",
" [5461, 5465, 5461, ..., 3305, 3310, 3315],\n",
" [5362, 5417, 5414, ..., 3298, 3353, 3354],\n",
" ...,\n",
" [3895, 3891, 3895, ..., 3252, 3308, 3313],\n",
" [3812, 3808, 3825, ..., 3273, 3385, 3355],\n",
" [3753, 3720, 3737, ..., 3236, 3372, 3348]],\n",
"\n",
" [[1147, 1420, 1047, ..., 721, 728, 762],\n",
" [1307, 1512, 1028, ..., 777, 789, 796],\n",
" [1266, 1050, 1077, ..., 809, 781, 760],\n",
" ...,\n",
" [1031, 1021, 1023, ..., 433, 441, 427],\n",
" [1013, 1008, 1010, ..., 409, 393, 438],\n",
" [ 987, 967, 973, ..., 394, 408, 428]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_red</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>690 732 585 861 ... 422 392 393 455</div><input id='attrs-041a1e50-048d-4e86-b84e-641b5aacb0c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-041a1e50-048d-4e86-b84e-641b5aacb0c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db29ba13-700a-4c4e-8f7c-badb7f51c582' class='xr-var-data-in' type='checkbox'><label for='data-db29ba13-700a-4c4e-8f7c-badb7f51c582' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.002584, 0.034529, 0.14997, 0.464826, 0.817746, 0.965324, 0.983869, 0.9969, 1.0, 0.995449, 0.991334, 0.977215, 0.936802, 0.873776, 0.814166, 0.776669, 0.764864, 0.775091, 0.801359, 0.830828, 0.857112, 0.883581, 0.90895, 0.934759, 0.955931, 0.96811, 0.973219, 0.971572, 0.969003, 0.965712, 0.960481, 0.944811, 0.884152, 0.706167, 0.422967, 0.189853, 0.063172, 0.020615, 0.002034], &#x27;wavelength&#x27;: [646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 690, 732, 585, ..., 992, 907, 931],\n",
" [1135, 1313, 876, ..., 980, 985, 1017],\n",
" [1241, 1158, 791, ..., 1011, 1021, 1059],\n",
" ...,\n",
" [ 962, 929, 938, ..., 1401, 1544, 1511],\n",
" [ 934, 927, 935, ..., 1317, 1468, 1459],\n",
" [ 898, 910, 902, ..., 1219, 1284, 1452]],\n",
"\n",
" [[5760, 5796, 5751, ..., 3139, 3187, 3282],\n",
" [5719, 5797, 5717, ..., 3178, 3210, 3278],\n",
" [5616, 5647, 5622, ..., 3222, 3247, 3307],\n",
" ...,\n",
" [4005, 4019, 3984, ..., 3273, 3328, 3404],\n",
" [3882, 3941, 3926, ..., 3309, 3371, 3474],\n",
" [3803, 3850, 3865, ..., 3304, 3354, 3416]],\n",
"\n",
" [[1381, 1471, 1247, ..., 998, 954, 964],\n",
" [1714, 1754, 1184, ..., 1031, 999, 1026],\n",
" [1669, 1152, 1246, ..., 1026, 987, 998],\n",
" ...,\n",
" [1066, 1051, 1061, ..., 438, 463, 482],\n",
" [1041, 1038, 1049, ..., 419, 437, 486],\n",
" [1006, 1010, 1009, ..., 392, 393, 455]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_red_edge_1</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>1079 1022 1022 1458 ... 503 539 539</div><input id='attrs-5ea66ae9-dd00-4f0f-b51c-ea91cc1c9068' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ea66ae9-dd00-4f0f-b51c-ea91cc1c9068' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f377d3e-c129-4336-af22-3073a81aa343' class='xr-var-data-in' type='checkbox'><label for='data-4f377d3e-c129-4336-af22-3073a81aa343' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.001187, 0.04126, 0.167712, 0.478496, 0.833878, 0.985479, 1.0, 0.999265, 0.993239, 0.982416, 0.965583, 0.945953, 0.924699, 0.902399, 0.885582, 0.861231, 0.757197, 0.521268, 0.196706, 0.036825], &#x27;wavelength&#x27;: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1079, 1022, 1022, ..., 1362, 1315, 1315],\n",
" [1293, 1587, 1587, ..., 1356, 1389, 1389],\n",
" [1293, 1587, 1587, ..., 1356, 1389, 1389],\n",
" ...,\n",
" [1206, 1219, 1219, ..., 1642, 1799, 1799],\n",
" [1146, 1149, 1149, ..., 1603, 1716, 1716],\n",
" [1146, 1149, 1149, ..., 1603, 1716, 1716]],\n",
"\n",
" [[6554, 6542, 6542, ..., 3529, 3597, 3597],\n",
" [6257, 6308, 6308, ..., 3608, 3676, 3676],\n",
" [6257, 6308, 6308, ..., 3608, 3676, 3676],\n",
" ...,\n",
" [4518, 4545, 4545, ..., 3681, 3764, 3764],\n",
" [4309, 4348, 4348, ..., 3607, 3798, 3798],\n",
" [4309, 4348, 4348, ..., 3607, 3798, 3798]],\n",
"\n",
" [[1513, 1305, 1305, ..., 1256, 1301, 1301],\n",
" [1949, 1801, 1801, ..., 1371, 1363, 1363],\n",
" [1949, 1801, 1801, ..., 1371, 1363, 1363],\n",
" ...,\n",
" [1364, 1337, 1337, ..., 514, 543, 543],\n",
" [1252, 1256, 1256, ..., 503, 539, 539],\n",
" [1252, 1256, 1256, ..., 503, 539, 539]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_red_edge_2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>1801 1691 1691 2145 ... 646 691 691</div><input id='attrs-cd494153-9829-4e56-9d17-6491ade64b33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd494153-9829-4e56-9d17-6491ade64b33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30d81f82-65b0-47b0-a530-9d484bd5392e' class='xr-var-data-in' type='checkbox'><label for='data-30d81f82-65b0-47b0-a530-9d484bd5392e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.005331, 0.085006, 0.345714, 0.750598, 0.920265, 0.917917, 0.934211, 0.957861, 0.975829, 0.981932, 0.981518, 0.993406, 1.0, 0.982579, 0.962584, 0.854908, 0.506722, 0.135357, 0.013438], &#x27;wavelength&#x27;: [731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1801, 1691, 1691, ..., 2271, 2323, 2323],\n",
" [1796, 2009, 2009, ..., 2177, 2354, 2354],\n",
" [1796, 2009, 2009, ..., 2177, 2354, 2354],\n",
" ...,\n",
" [ 705, 698, 698, ..., 1956, 2146, 2146],\n",
" [ 677, 680, 680, ..., 1941, 2000, 2000],\n",
" [ 677, 680, 680, ..., 1941, 2000, 2000]],\n",
"\n",
" [[6368, 6404, 6404, ..., 3676, 3745, 3745],\n",
" [6189, 6241, 6241, ..., 3736, 3781, 3781],\n",
" [6189, 6241, 6241, ..., 3736, 3781, 3781],\n",
" ...,\n",
" [4529, 4473, 4473, ..., 3742, 3772, 3772],\n",
" [4305, 4269, 4269, ..., 3542, 3722, 3722],\n",
" [4305, 4269, 4269, ..., 3542, 3722, 3722]],\n",
"\n",
" [[2266, 2193, 2193, ..., 1964, 2099, 2099],\n",
" [2494, 2527, 2527, ..., 2024, 2008, 2008],\n",
" [2494, 2527, 2527, ..., 2024, 2008, 2008],\n",
" ...,\n",
" [ 854, 838, 838, ..., 636, 687, 687],\n",
" [ 770, 780, 780, ..., 646, 691, 691],\n",
" [ 770, 780, 780, ..., 646, 691, 691]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_red_edge_3</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>1977 1803 1803 2290 ... 684 711 711</div><input id='attrs-f6d49c64-449c-408d-aa40-5a5f03d51ae7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6d49c64-449c-408d-aa40-5a5f03d51ae7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa532b28-c762-4064-aafe-65e0d8231e40' class='xr-var-data-in' type='checkbox'><label for='data-fa532b28-c762-4064-aafe-65e0d8231e40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.001595, 0.014731, 0.067032, 0.199495, 0.422803, 0.694015, 0.898494, 0.983173, 0.994759, 1.0, 0.994913, 0.964657, 0.908117, 0.846898, 0.802091, 0.778839, 0.777241, 0.789523, 0.800984, 0.802916, 0.791711, 0.757695, 0.677951, 0.536855, 0.364033, 0.193498, 0.077219, 0.019707, 0.003152], &#x27;wavelength&#x27;: [769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1977, 1803, 1803, ..., 2565, 2572, 2572],\n",
" [1972, 2078, 2078, ..., 2475, 2541, 2541],\n",
" [1972, 2078, 2078, ..., 2475, 2541, 2541],\n",
" ...,\n",
" [ 682, 675, 675, ..., 2041, 2265, 2265],\n",
" [ 643, 664, 664, ..., 2045, 2129, 2129],\n",
" [ 643, 664, 664, ..., 2045, 2129, 2129]],\n",
"\n",
" [[5981, 5984, 5984, ..., 3594, 3577, 3577],\n",
" [5803, 5890, 5890, ..., 3602, 3657, 3657],\n",
" [5803, 5890, 5890, ..., 3602, 3657, 3657],\n",
" ...,\n",
" [4410, 4354, 4354, ..., 3574, 3601, 3601],\n",
" [4164, 4131, 4131, ..., 3310, 3523, 3523],\n",
" [4164, 4131, 4131, ..., 3310, 3523, 3523]],\n",
"\n",
" [[2346, 2512, 2512, ..., 2207, 2262, 2262],\n",
" [2624, 2863, 2863, ..., 2238, 2176, 2176],\n",
" [2624, 2863, 2863, ..., 2238, 2176, 2176],\n",
" ...,\n",
" [ 861, 834, 834, ..., 658, 708, 708],\n",
" [ 760, 739, 739, ..., 684, 711, 711],\n",
" [ 760, 739, 739, ..., 684, 711, 711]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_nir_1</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>1752 1722 1754 2295 ... 716 708 749</div><input id='attrs-3fa20127-ba07-4644-b9ef-7dfecd24ba38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fa20127-ba07-4644-b9ef-7dfecd24ba38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76949f2c-1671-42cb-9712-7c9a70836b1f' class='xr-var-data-in' type='checkbox'><label for='data-76949f2c-1671-42cb-9712-7c9a70836b1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.000451, 0.007614, 0.019072, 0.033498, 0.056536, 0.087148, 0.13246, 0.203436, 0.314068, 0.450085, 0.587433, 0.714518, 0.81829, 0.902932, 0.960732, 0.993723, 1.0, 0.985213, 0.958376, 0.93655, 0.925816, 0.930376, 0.941281, 0.953344, 0.962183, 0.965631, 0.963105, 0.959009, 0.951205, 0.945147, 0.943136, 0.945814, 0.945357, 0.943762, 0.937084, 0.92789, 0.915897, 0.900979, 0.881577, 0.86216, 0.8432, 0.822684, 0.801819, 0.776911, 0.755632, 0.737893, 0.722217, 0.708669, 0.698416, 0.690211, 0.682257, 0.681494, 0.682649, 0.678491, 0.67595, 0.671304, 0.665538, 0.660812, 0.658739, 0.65831, 0.66407, 0.672731, 0.685501, 0.701159, 0.720686, 0.742292, 0.75953, 0.776608, 0.784061, 0.78772, 0.787693, 0.783525, 0.776161, 0.768339, 0.759264, 0.745943, 0.733022, 0.720589, 0.706663, 0.69087, 0.675896, 0.661558, 0.649339, 0.638008, 0.627424, 0.618963, 0.610945, 0.604322, 0.597408, 0.591724, 0.586961, 0.582746, 0.581202, 0.57948, 0.580197, 0.582505, 0.585308, 0.589481, 0.592827, 0.596749, 0.601372, 0.603234, 0.605476, 0.608972, 0.613463, 0.618715, 0.626841, 0.637436, 0.648791, 0.659233, 0.66734, 0.668624, 0.659924, 0.641666, 0.615841, 0.583567, 0.552076, 0.526407, 0.507116, 0.49653, 0.499119, 0.512088, 0.529093, 0.542739, 0.537964, 0.495953, 0.419305, 0.326791, 0.231085, 0.14854, 0.089683, 0.054977, 0.033246, 0.019774, 0.007848, 0.001286], &#x27;wavelength&#x27;: [773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1752, 1722, 1754, ..., 2641, 2712, 2789],\n",
" [2565, 2410, 2072, ..., 2557, 2701, 2812],\n",
" [2524, 2327, 2064, ..., 2616, 2755, 2786],\n",
" ...,\n",
" [ 590, 593, 608, ..., 2246, 2457, 2487],\n",
" [ 555, 577, 594, ..., 2229, 2309, 2437],\n",
" [ 562, 573, 594, ..., 2140, 2231, 2399]],\n",
"\n",
" [[6479, 6501, 6440, ..., 4150, 4112, 4138],\n",
" [6393, 6455, 6415, ..., 4165, 4123, 4126],\n",
" [6296, 6411, 6412, ..., 4206, 4186, 4239],\n",
" ...,\n",
" [4561, 4557, 4568, ..., 4066, 4072, 4051],\n",
" [4493, 4504, 4461, ..., 4131, 4179, 4093],\n",
" [4357, 4409, 4390, ..., 4126, 4194, 4102]],\n",
"\n",
" [[2870, 2952, 2687, ..., 2163, 2333, 2528],\n",
" [3194, 3167, 2719, ..., 2307, 2482, 2629],\n",
" [2905, 2682, 2739, ..., 2493, 2488, 2515],\n",
" ...,\n",
" [ 731, 724, 713, ..., 693, 732, 758],\n",
" [ 694, 685, 710, ..., 685, 707, 755],\n",
" [ 703, 695, 719, ..., 716, 708, 749]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_nir_2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>2131 2214 2214 2364 ... 742 802 802</div><input id='attrs-f5364b21-3797-4fc4-aa5a-657e608394c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5364b21-3797-4fc4-aa5a-657e608394c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1724301b-7580-4deb-8f20-994fb0e838c2' class='xr-var-data-in' type='checkbox'><label for='data-1724301b-7580-4deb-8f20-994fb0e838c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.001651, 0.013242, 0.02471, 0.051379, 0.104944, 0.216577, 0.384865, 0.585731, 0.774481, 0.87843, 0.914944, 0.922574, 0.926043, 0.929676, 0.935962, 0.946583, 0.955792, 0.965458, 0.974461, 0.97988, 0.983325, 0.982881, 0.988474, 1.0, 0.999626, 0.921005, 0.728632, 0.472189, 0.238082, 0.106955, 0.046096, 0.022226, 0.008819, 0.000455], &#x27;wavelength&#x27;: [848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[2131, 2214, 2214, ..., 2921, 2897, 2897],\n",
" [2238, 2276, 2276, ..., 2808, 2863, 2863],\n",
" [2238, 2276, 2276, ..., 2808, 2863, 2863],\n",
" ...,\n",
" [ 479, 514, 514, ..., 2364, 2561, 2561],\n",
" [ 433, 414, 414, ..., 2327, 2369, 2369],\n",
" [ 433, 414, 414, ..., 2327, 2369, 2369]],\n",
"\n",
" [[6047, 6080, 6080, ..., 3672, 3714, 3714],\n",
" [5941, 5970, 5970, ..., 3628, 3727, 3727],\n",
" [5941, 5970, 5970, ..., 3628, 3727, 3727],\n",
" ...,\n",
" [4494, 4446, 4446, ..., 3591, 3612, 3612],\n",
" [4270, 4196, 4196, ..., 3442, 3466, 3466],\n",
" [4270, 4196, 4196, ..., 3442, 3466, 3466]],\n",
"\n",
" [[2753, 2633, 2633, ..., 2487, 2553, 2553],\n",
" [3051, 3046, 3046, ..., 2510, 2418, 2418],\n",
" [3051, 3046, 3046, ..., 2510, 2418, 2418],\n",
" ...,\n",
" [ 596, 553, 553, ..., 716, 771, 771],\n",
" [ 510, 529, 529, ..., 742, 802, 802],\n",
" [ 510, 529, 529, ..., 742, 802, 802]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_swir_2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>2084 1965 1965 2462 ... 872 886 886</div><input id='attrs-56f81465-fb05-40ac-8cff-e3219103f5fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56f81465-fb05-40ac-8cff-e3219103f5fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf9c407d-7e8b-4e64-8489-59bbd068fc5b' class='xr-var-data-in' type='checkbox'><label for='data-bf9c407d-7e8b-4e64-8489-59bbd068fc5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [7e-06, 7e-06, 8e-06, 2.8e-05, 3.8e-05, 9.1e-05, 0.000147, 0.000251, 0.00048, 0.00057, 0.000662, 0.000911, 0.001166, 0.001684, 0.002458, 0.003567, 0.005345, 0.008318, 0.012628, 0.018996, 0.027781, 0.039584, 0.054865, 0.07493, 0.10107, 0.135476, 0.182597, 0.247276, 0.330736, 0.429691, 0.537634, 0.647173, 0.743528, 0.815215, 0.859202, 0.879669, 0.88703, 0.889098, 0.891417, 0.897586, 0.906631, 0.916528, 0.926579, 0.935322, 0.942394, 0.947507, 0.951416, 0.954254, 0.956429, 0.958205, 0.960688, 0.96348, 0.965797, 0.96818, 0.971012, 0.97338, 0.975915, 0.978581, 0.979878, 0.980589, 0.980912, 0.981412, 0.981244, 0.980705, 0.980377, 0.981066, 0.982736, 0.985122, 0.987807, 0.990376, 0.992016, 0.993288, 0.992536, 0.990405, 0.987128, 0.983502, 0.980023, 0.976174, 0.972568, 0.969828, 0.967709, 0.966371, 0.965849, 0.96605, 0.967427, 0.96987, 0.973463, 0.978683, 0.983472, 0.987635, 0.991875, 0.995476, 0.997586, 0.998568, 0.999328, 0.999234, 0.998804, 0.999111, 0.99973, 0.999745, 1.0, 0.999814, 0.996693, 0.99162, 0.985702, 0.978569, 0.969903, 0.960896, 0.953287, 0.946546, 0.941712, 0.938586, 0.935489, 0.928114, 0.912102, 0.880598, 0.82498, 0.743118, 0.641891, 0.534002, 0.426963, 0.32371, 0.234284, 0.163972, 0.110211, 0.072478, 0.046194, 0.029401, 0.019359, 0.013308, 0.009317, 0.006523, 0.004864, 0.003409, 0.002491, 0.001958, 0.001423, 0.001055, 0.000498, 0.000228, 0.000159, 3.4e-05, 4.5e-05, 1.3e-05], &#x27;wavelength&#x27;: [1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, 1682]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[2084, 1965, 1965, ..., 2997, 2932, 2932],\n",
" [2387, 2741, 2741, ..., 3035, 3039, 3039],\n",
" [2387, 2741, 2741, ..., 3035, 3039, 3039],\n",
" ...,\n",
" [ 197, 177, 177, ..., 3239, 3205, 3205],\n",
" [ 159, 160, 160, ..., 3217, 3168, 3168],\n",
" [ 159, 160, 160, ..., 3217, 3168, 3168]],\n",
"\n",
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" [3569, 3653, 3653, ..., 2151, 2189, 2189],\n",
" ...,\n",
" [2351, 2329, 2329, ..., 2455, 2491, 2491],\n",
" [2238, 2227, 2227, ..., 2332, 2422, 2422],\n",
" [2238, 2227, 2227, ..., 2332, 2422, 2422]],\n",
"\n",
" [[2783, 2756, 2756, ..., 2350, 2391, 2391],\n",
" [3410, 3719, 3719, ..., 2587, 2489, 2489],\n",
" [3410, 3719, 3719, ..., 2587, 2489, 2489],\n",
" ...,\n",
" [ 269, 250, 250, ..., 854, 867, 867],\n",
" [ 213, 223, 223, ..., 872, 886, 886],\n",
" [ 213, 223, 223, ..., 872, 886, 886]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_swir_3</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>1543 1328 1328 1747 ... 677 669 669</div><input id='attrs-e37f0d13-1dde-48ce-94a7-e136666ab638' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e37f0d13-1dde-48ce-94a7-e136666ab638' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9231e367-27d8-4024-93c1-51190715a19f' class='xr-var-data-in' type='checkbox'><label for='data-9231e367-27d8-4024-93c1-51190715a19f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.000639, 0.001023, 0.002885, 0.003997, 0.006597, 0.00766, 0.008004, 0.00854, 0.0093, 0.010002, 0.010972, 0.012089, 0.013364, 0.015017, 0.017126, 0.01978, 0.023336, 0.027668, 0.033216, 0.040217, 0.048883, 0.059642, 0.073175, 0.090535, 0.11147, 0.136903, 0.167811, 0.203461, 0.242871, 0.284898, 0.327178, 0.368404, 0.408003, 0.444778, 0.476537, 0.503107, 0.525318, 0.543352, 0.557253, 0.568634, 0.57903, 0.588684, 0.598891, 0.609981, 0.621362, 0.634283, 0.648546, 0.663707, 0.680046, 0.696165, 0.711964, 0.727011, 0.741301, 0.757405, 0.772071, 0.785581, 0.798238, 0.809677, 0.819702, 0.828599, 0.836722, 0.844443, 0.851107, 0.853252, 0.854746, 0.856174, 0.857821, 0.859532, 0.86146, 0.863257, 0.865139, 0.867319, 0.869696, 0.874302, 0.878588, 0.882439, 0.885929, 0.889473, 0.893226, 0.896696, 0.899897, 0.902596, 0.904831, 0.905525, 0.905665, 0.905503, 0.905158, 0.904783, 0.904082, 0.903347, 0.902761, 0.902377, 0.901983, 0.903424, 0.904313, 0.905315, 0.906446, 0.908092, 0.910123, 0.91295, 0.915585, 0.918444, 0.921302, 0.924337, 0.927219, 0.92974, 0.931922, 0.934142, 0.935906, 0.937086, 0.937641, 0.938301, 0.937652, 0.940441, 0.942518, 0.943259, 0.943031, 0.942117, 0.940632, 0.938428, 0.93666, 0.935256, 0.933022, 0.92688, 0.921057, 0.915483, 0.91102, 0.908293, 0.907283, 0.908191, 0.911169, 0.916189, 0.922855, 0.920605, 0.919482, 0.919489, 0.921276, 0.924526, 0.927733, 0.931974, 0.93677, 0.941483, 0.946802, 0.951203, 0.954437, 0.957047, 0.959729, 0.962539, 0.964858, 0.966042, 0.966647, 0.96631, 0.96546, 0.964841, 0.963656, 0.961698, 0.959454, 0.957327, 0.95514, 0.953558, 0.952732, 0.952181, 0.951731, 0.952146, 0.952641, 0.954057, 0.957078, 0.960639, 0.964222, 0.968307, 0.972691, 0.977423, 0.982898, 0.987144, 0.990734, 0.993983, 0.996787, 0.998753, 1.0, 0.999927, 0.999152, 0.997129, 0.993884, 0.989686, 0.983735, 0.976213, 0.967813, 0.958343, 0.94844, 0.938203, 0.927725, 0.917039, 0.905999, 0.893868, 0.881683, 0.868647, 0.854635, 0.84062, 0.826016, 0.809516, 0.791867, 0.772443, 0.749107, 0.720346, 0.688185, 0.651283, 0.61005, 0.566031, 0.52097, 0.474659, 0.429259, 0.385857, 0.342092, 0.30068, 0.263176, 0.227704, 0.195721, 0.16809, 0.14468, 0.124831, 0.108237, 0.094401, 0.082363, 0.0715, 0.062691, 0.054985, 0.048195, 0.042864, 0.038598, 0.034947, 0.031999, 0.029588, 0.027418, 0.025577, 0.023959, 0.021672, 0.019148, 0.016331, 0.010989, 0.007379, 0.006511, 0.00471, 0.002065], &#x27;wavelength&#x27;: [2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 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2320]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1543, 1328, 1328, ..., 2299, 2268, 2268],\n",
" [1918, 1839, 1839, ..., 2417, 2419, 2419],\n",
" [1918, 1839, 1839, ..., 2417, 2419, 2419],\n",
" ...,\n",
" [ 128, 134, 134, ..., 2664, 2616, 2616],\n",
" [ 111, 114, 114, ..., 2636, 2623, 2623],\n",
" [ 111, 114, 114, ..., 2636, 2623, 2623]],\n",
"\n",
" [[3933, 4003, 4003, ..., 2018, 2054, 2054],\n",
" [3809, 3892, 3892, ..., 2043, 2098, 2098],\n",
" [3809, 3892, 3892, ..., 2043, 2098, 2098],\n",
" ...,\n",
" [2582, 2545, 2545, ..., 2375, 2365, 2365],\n",
" [2431, 2400, 2400, ..., 2225, 2251, 2251],\n",
" [2431, 2400, 2400, ..., 2225, 2251, 2251]],\n",
"\n",
" [[1960, 1975, 1975, ..., 1739, 1701, 1701],\n",
" [2564, 2897, 2897, ..., 1927, 1778, 1778],\n",
" [2564, 2897, 2897, ..., 1927, 1778, 1778],\n",
" ...,\n",
" [ 206, 195, 195, ..., 653, 678, 678],\n",
" [ 169, 165, 165, ..., 677, 669, 669],\n",
" [ 169, 165, 165, ..., 677, 669, 669]]], dtype=int16)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7a0ad51c-8d75-488d-8404-d62a143bd1b6' class='xr-section-summary-in' type='checkbox' checked><label for='section-7a0ad51c-8d75-488d-8404-d62a143bd1b6' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (time: 3, y: 113, x: 185)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2021-08-24T00:46:30.141931 ....\n",
" * y (y) float64 6.199e+06 6.199e+06 ... 6.198e+06\n",
" * x (x) float64 4.605e+05 4.605e+05 ... 4.623e+05\n",
" spatial_ref int32 7854\n",
"Data variables: (12/24)\n",
" azimuthal_exiting (time, y, x) float32 49.03 57.56 ... 130.6 130.6\n",
" azimuthal_incident (time, y, x) float32 -0.5319 12.59 ... 38.6 38.6\n",
" exiting (time, y, x) float32 7.123 6.656 ... 3.506 3.506\n",
" incident (time, y, x) float32 58.97 59.11 ... 47.49 47.49\n",
" relative_azimuth (time, y, x) float32 244.6 244.6 ... 241.5 241.5\n",
" relative_slope (time, y, x) float32 -49.57 -44.98 ... -91.98 -91.98\n",
" ... ...\n",
" nbart_red_edge_2 (time, y, x) int16 1801 1691 1691 ... 646 691 691\n",
" nbart_red_edge_3 (time, y, x) int16 1977 1803 1803 ... 684 711 711\n",
" nbart_nir_1 (time, y, x) int16 1752 1722 1754 ... 716 708 749\n",
" nbart_nir_2 (time, y, x) int16 2131 2214 2214 ... 742 802 802\n",
" nbart_swir_2 (time, y, x) int16 2084 1965 1965 ... 872 886 886\n",
" nbart_swir_3 (time, y, x) int16 1543 1328 1328 ... 677 669 669\n",
"Attributes:\n",
" crs: EPSG:7854\n",
" grid_mapping: spatial_ref"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dsa = dc.load(product=\"s2a_ard_granule\",\n",
" **query)\n",
"\n",
"dsa"
]
},
{
"cell_type": "markdown",
"id": "ca351798-fa43-406e-b9c5-9464559f6d13",
"metadata": {},
"source": [
"### Run query for Sentinel-2B collection"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "d1c13985-f351-461b-86e9-50e658d54898",
"metadata": {},
"outputs": [
{
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" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: '►';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: '▼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2 {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time: 3, y: 113, x: 185)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2021-08-19T00:46:27.593501 ....\n",
" * y (y) float64 6.199e+06 6.199e+06 ... 6.198e+06\n",
" * x (x) float64 4.605e+05 4.605e+05 ... 4.623e+05\n",
" spatial_ref int32 7854\n",
"Data variables: (12/24)\n",
" azimuthal_exiting (time, y, x) float32 49.07 57.61 ... 130.1 130.1\n",
" azimuthal_incident (time, y, x) float32 0.02078 13.17 ... 39.39 39.39\n",
" exiting (time, y, x) float32 7.126 6.658 ... 3.443 3.443\n",
" incident (time, y, x) float32 60.61 60.73 ... 49.35 49.35\n",
" relative_azimuth (time, y, x) float32 245.2 245.2 ... 242.3 242.3\n",
" relative_slope (time, y, x) float32 -49.05 -44.44 ... -90.67 -90.67\n",
" ... ...\n",
" nbart_red_edge_2 (time, y, x) int16 2330 2184 2184 ... 1925 2001 2001\n",
" nbart_red_edge_3 (time, y, x) int16 2598 2353 2353 ... 2056 2095 2095\n",
" nbart_nir_1 (time, y, x) int16 2399 2320 2354 ... 2149 2236 2371\n",
" nbart_nir_2 (time, y, x) int16 3097 2856 2856 ... 2339 2410 2410\n",
" nbart_swir_2 (time, y, x) int16 2928 2561 2561 ... 3273 3294 3294\n",
" nbart_swir_3 (time, y, x) int16 2869 2273 2273 ... 2637 2669 2669\n",
"Attributes:\n",
" crs: EPSG:7854\n",
" grid_mapping: spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cef46675-1f2a-4ccb-a4a0-0ad6c31e7b20' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cef46675-1f2a-4ccb-a4a0-0ad6c31e7b20' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li><li><span class='xr-has-index'>y</span>: 113</li><li><span class='xr-has-index'>x</span>: 185</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-622e7d8d-ce9d-41a6-9750-f6d9dec353a3' class='xr-section-summary-in' type='checkbox' checked><label for='section-622e7d8d-ce9d-41a6-9750-f6d9dec353a3' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-08-19T00:46:27.593501 ... 2...</div><input id='attrs-4260a7ef-06dc-44ae-8cc6-6f7b87af82fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4260a7ef-06dc-44ae-8cc6-6f7b87af82fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed2e9cf3-5994-4f69-a4bd-93e2bb151b65' class='xr-var-data-in' type='checkbox'><label for='data-ed2e9cf3-5994-4f69-a4bd-93e2bb151b65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-08-19T00:46:27.593501000&#x27;, &#x27;2021-08-29T00:46:25.694016000&#x27;,\n",
" &#x27;2021-09-08T00:46:24.566743000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.199e+06 6.199e+06 ... 6.198e+06</div><input id='attrs-c262f1e3-d879-43c2-8f1e-07f1546d1e71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c262f1e3-d879-43c2-8f1e-07f1546d1e71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d509371-aaaf-4b75-bbbf-a7154e5e5a90' class='xr-var-data-in' type='checkbox'><label for='data-1d509371-aaaf-4b75-bbbf-a7154e5e5a90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-10.0</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd></dl></div><div class='xr-var-data'><pre>array([6198965., 6198955., 6198945., 6198935., 6198925., 6198915., 6198905.,\n",
" 6198895., 6198885., 6198875., 6198865., 6198855., 6198845., 6198835.,\n",
" 6198825., 6198815., 6198805., 6198795., 6198785., 6198775., 6198765.,\n",
" 6198755., 6198745., 6198735., 6198725., 6198715., 6198705., 6198695.,\n",
" 6198685., 6198675., 6198665., 6198655., 6198645., 6198635., 6198625.,\n",
" 6198615., 6198605., 6198595., 6198585., 6198575., 6198565., 6198555.,\n",
" 6198545., 6198535., 6198525., 6198515., 6198505., 6198495., 6198485.,\n",
" 6198475., 6198465., 6198455., 6198445., 6198435., 6198425., 6198415.,\n",
" 6198405., 6198395., 6198385., 6198375., 6198365., 6198355., 6198345.,\n",
" 6198335., 6198325., 6198315., 6198305., 6198295., 6198285., 6198275.,\n",
" 6198265., 6198255., 6198245., 6198235., 6198225., 6198215., 6198205.,\n",
" 6198195., 6198185., 6198175., 6198165., 6198155., 6198145., 6198135.,\n",
" 6198125., 6198115., 6198105., 6198095., 6198085., 6198075., 6198065.,\n",
" 6198055., 6198045., 6198035., 6198025., 6198015., 6198005., 6197995.,\n",
" 6197985., 6197975., 6197965., 6197955., 6197945., 6197935., 6197925.,\n",
" 6197915., 6197905., 6197895., 6197885., 6197875., 6197865., 6197855.,\n",
" 6197845.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.605e+05 4.605e+05 ... 4.623e+05</div><input id='attrs-6dc0edb3-ac3f-4d93-97ab-99ebc1a3e7a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6dc0edb3-ac3f-4d93-97ab-99ebc1a3e7a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1c12b3f-bc27-4e6e-ad72-81fd9af505bf' class='xr-var-data-in' type='checkbox'><label for='data-e1c12b3f-bc27-4e6e-ad72-81fd9af505bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>10.0</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd></dl></div><div class='xr-var-data'><pre>array([460455., 460465., 460475., 460485., 460495., 460505., 460515., 460525.,\n",
" 460535., 460545., 460555., 460565., 460575., 460585., 460595., 460605.,\n",
" 460615., 460625., 460635., 460645., 460655., 460665., 460675., 460685.,\n",
" 460695., 460705., 460715., 460725., 460735., 460745., 460755., 460765.,\n",
" 460775., 460785., 460795., 460805., 460815., 460825., 460835., 460845.,\n",
" 460855., 460865., 460875., 460885., 460895., 460905., 460915., 460925.,\n",
" 460935., 460945., 460955., 460965., 460975., 460985., 460995., 461005.,\n",
" 461015., 461025., 461035., 461045., 461055., 461065., 461075., 461085.,\n",
" 461095., 461105., 461115., 461125., 461135., 461145., 461155., 461165.,\n",
" 461175., 461185., 461195., 461205., 461215., 461225., 461235., 461245.,\n",
" 461255., 461265., 461275., 461285., 461295., 461305., 461315., 461325.,\n",
" 461335., 461345., 461355., 461365., 461375., 461385., 461395., 461405.,\n",
" 461415., 461425., 461435., 461445., 461455., 461465., 461475., 461485.,\n",
" 461495., 461505., 461515., 461525., 461535., 461545., 461555., 461565.,\n",
" 461575., 461585., 461595., 461605., 461615., 461625., 461635., 461645.,\n",
" 461655., 461665., 461675., 461685., 461695., 461705., 461715., 461725.,\n",
" 461735., 461745., 461755., 461765., 461775., 461785., 461795., 461805.,\n",
" 461815., 461825., 461835., 461845., 461855., 461865., 461875., 461885.,\n",
" 461895., 461905., 461915., 461925., 461935., 461945., 461955., 461965.,\n",
" 461975., 461985., 461995., 462005., 462015., 462025., 462035., 462045.,\n",
" 462055., 462065., 462075., 462085., 462095., 462105., 462115., 462125.,\n",
" 462135., 462145., 462155., 462165., 462175., 462185., 462195., 462205.,\n",
" 462215., 462225., 462235., 462245., 462255., 462265., 462275., 462285.,\n",
" 462295.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>7854</div><input id='attrs-433231c2-f3f4-46cb-8d6d-ffbbde511acf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-433231c2-f3f4-46cb-8d6d-ffbbde511acf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47e39d09-61f9-405e-a4f8-0814250887b2' class='xr-var-data-in' type='checkbox'><label for='data-47e39d09-61f9-405e-a4f8-0814250887b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;GDA2020 / MGA zone 54&quot;,GEOGCS[&quot;GDA2020&quot;,DATUM[&quot;Geocentric_Datum_of_Australia_2020&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1168&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;7844&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,141],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,10000000],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;7854&quot;]]</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd></dl></div><div class='xr-var-data'><pre>array(7854, dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b6e835a0-1e2c-4e8e-9426-7c643d53ba54' class='xr-section-summary-in' type='checkbox' ><label for='section-b6e835a0-1e2c-4e8e-9426-7c643d53ba54' class='xr-section-summary' >Data variables: <span>(24)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>azimuthal_exiting</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>49.07 57.61 57.61 ... 130.1 130.1</div><input id='attrs-00454192-8c10-4d65-91f7-46790d5e8ebf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00454192-8c10-4d65-91f7-46790d5e8ebf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20c411a3-d693-4f0e-b9dc-93f4db0dc021' class='xr-var-data-in' type='checkbox'><label for='data-20c411a3-d693-4f0e-b9dc-93f4db0dc021' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 49.074 , 57.60725 , 57.60725 , ..., -164.87091 ,\n",
" -163.92456 , -163.92456 ],\n",
" [ 73.961685, 84.38004 , 84.38004 , ..., -159.74202 ,\n",
" -153.2361 , -153.2361 ],\n",
" [ 73.961685, 84.38004 , 84.38004 , ..., -159.74202 ,\n",
" -153.2361 , -153.2361 ],\n",
" ...,\n",
" [ -48.551876, -84.47027 , -84.47027 , ..., 143.90294 ,\n",
" 127.261 , 127.261 ],\n",
" [ -21.388832, -21.63364 , -21.63364 , ..., 159.10336 ,\n",
" 130.40813 , 130.40813 ],\n",
" [ -21.388832, -21.63364 , -21.63364 , ..., 159.10336 ,\n",
" 130.40813 , 130.40813 ]],\n",
"\n",
" [[ 48.743702, 57.24063 , 57.24063 , ..., -165.55183 ,\n",
" -164.48547 , -164.48547 ],\n",
" [ 73.51824 , 83.85334 , 83.85334 , ..., -160.45639 ,\n",
" -153.75836 , -153.75836 ],\n",
" [ 73.51824 , 83.85334 , 83.85334 , ..., -160.45639 ,\n",
" -153.75836 , -153.75836 ],\n",
"...\n",
" [ -48.600906, -84.46315 , -84.46315 , ..., 143.4213 ,\n",
" 126.90762 , 126.90762 ],\n",
" [ -21.081347, -21.325306, -21.325306, ..., 158.7274 ,\n",
" 130.06964 , 130.06964 ],\n",
" [ -21.081347, -21.325306, -21.325306, ..., 158.7274 ,\n",
" 130.06964 , 130.06964 ]],\n",
"\n",
" [[ 48.73503 , 57.231014, 57.231014, ..., -165.56999 ,\n",
" -164.50047 , -164.50047 ],\n",
" [ 73.50656 , 83.83951 , 83.83951 , ..., -160.47546 ,\n",
" -153.7723 , -153.7723 ],\n",
" [ 73.50656 , 83.83951 , 83.83951 , ..., -160.47546 ,\n",
" -153.7723 , -153.7723 ],\n",
" ...,\n",
" [ -48.602196, -84.46297 , -84.46297 , ..., 143.40852 ,\n",
" 126.89828 , 126.89828 ],\n",
" [ -21.073273, -21.317198, -21.317198, ..., 158.71742 ,\n",
" 130.06068 , 130.06068 ],\n",
" [ -21.073273, -21.317198, -21.317198, ..., 158.71742 ,\n",
" 130.06068 , 130.06068 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>azimuthal_incident</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.02078 13.17 13.17 ... 39.39 39.39</div><input id='attrs-f6dae54d-b578-41b5-85fb-519c35c72360' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6dae54d-b578-41b5-85fb-519c35c72360' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72866c52-d240-41c2-a366-d6ce4bfe1c11' class='xr-var-data-in' type='checkbox'><label for='data-72866c52-d240-41c2-a366-d6ce4bfe1c11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 2.07791440e-02, 1.31663914e+01, 1.31663914e+01, ...,\n",
" 1.11439186e+02, 1.08626419e+02, 1.08626419e+02],\n",
" [ 1.62160034e+01, 3.91611481e+01, 3.91611481e+01, ...,\n",
" 1.16131111e+02, 1.16020897e+02, 1.16020897e+02],\n",
" [ 1.62160034e+01, 3.91611481e+01, 3.91611481e+01, ...,\n",
" 1.16131111e+02, 1.16020897e+02, 1.16020897e+02],\n",
" ...,\n",
" [-1.55965973e+02, 1.60961044e+02, 1.60961044e+02, ...,\n",
" 6.32384682e+01, 4.06445198e+01, 4.06445198e+01],\n",
" [ 1.70240814e+02, 1.69103470e+02, 1.69103470e+02, ...,\n",
" 6.98470078e+01, 4.22743874e+01, 4.22743874e+01],\n",
" [ 1.70240814e+02, 1.69103470e+02, 1.69103470e+02, ...,\n",
" 6.98470078e+01, 4.22743874e+01, 4.22743874e+01]],\n",
"\n",
" [[-1.12455654e+00, 1.19628477e+01, 1.19628477e+01, ...,\n",
" 1.09936195e+02, 1.07135651e+02, 1.07135651e+02],\n",
" [ 1.49399939e+01, 3.78232460e+01, 3.78232460e+01, ...,\n",
" 1.14618073e+02, 1.14520363e+02, 1.14520363e+02],\n",
" [ 1.49399939e+01, 3.78232460e+01, 3.78232460e+01, ...,\n",
" 1.14618073e+02, 1.14520363e+02, 1.14520363e+02],\n",
"...\n",
" 6.18244286e+01, 3.92642632e+01, 3.92642632e+01],\n",
" [ 1.68520950e+02, 1.67372803e+02, 1.67372803e+02, ...,\n",
" 6.84250107e+01, 4.08906326e+01, 4.08906326e+01],\n",
" [ 1.68520950e+02, 1.67372803e+02, 1.67372803e+02, ...,\n",
" 6.84250107e+01, 4.08906326e+01, 4.08906326e+01]],\n",
"\n",
" [[-2.32908940e+00, 1.06906586e+01, 1.06906586e+01, ...,\n",
" 1.08299385e+02, 1.05512733e+02, 1.05512733e+02],\n",
" [ 1.35773954e+01, 3.63901100e+01, 3.63901100e+01, ...,\n",
" 1.12969368e+02, 1.12885490e+02, 1.12885490e+02],\n",
" [ 1.35773954e+01, 3.63901100e+01, 3.63901100e+01, ...,\n",
" 1.12969368e+02, 1.12885490e+02, 1.12885490e+02],\n",
" ...,\n",
" [-1.58545792e+02, 1.58278717e+02, 1.58278717e+02, ...,\n",
" 6.02932701e+01, 3.77718620e+01, 3.77718620e+01],\n",
" [ 1.66595276e+02, 1.65433792e+02, 1.65433792e+02, ...,\n",
" 6.68828964e+01, 3.93937950e+01, 3.93937950e+01],\n",
" [ 1.66595276e+02, 1.65433792e+02, 1.65433792e+02, ...,\n",
" 6.68828964e+01, 3.93937950e+01, 3.93937950e+01]]],\n",
" dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>exiting</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>7.126 6.658 6.658 ... 3.443 3.443</div><input id='attrs-36493a67-4404-4f96-8ba8-9e75f265974c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36493a67-4404-4f96-8ba8-9e75f265974c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e2830d0-2990-45d9-b4e4-6c29246dbe1a' class='xr-var-data-in' type='checkbox'><label for='data-5e2830d0-2990-45d9-b4e4-6c29246dbe1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[7.1255193, 6.65835 , 6.65835 , ..., 2.0620348, 2.2265105,\n",
" 2.2265105],\n",
" [4.9121094, 4.6354012, 4.6354012, ..., 1.9479262, 2.13918 ,\n",
" 2.13918 ],\n",
" [4.9121094, 4.6354012, 4.6354012, ..., 1.9479262, 2.13918 ,\n",
" 2.13918 ],\n",
" ...,\n",
" [5.622948 , 5.4666204, 5.4666204, ..., 3.0845783, 3.5099494,\n",
" 3.5099494],\n",
" [6.695535 , 6.7502327, 6.7502327, ..., 3.0513337, 3.4848695,\n",
" 3.4848695],\n",
" [6.695535 , 6.7502327, 6.7502327, ..., 3.0513337, 3.4848695,\n",
" 3.4848695]],\n",
"\n",
" [[7.1063595, 6.642899 , 6.642899 , ..., 2.0239074, 2.186775 ,\n",
" 2.186775 ],\n",
" [4.8874397, 4.6199937, 4.6199937, ..., 1.909571 , 2.0983512,\n",
" 2.0983512],\n",
" [4.8874397, 4.6199937, 4.6199937, ..., 1.909571 , 2.0983512,\n",
" 2.0983512],\n",
"...\n",
" [5.5780163, 5.4214454, 5.4214454, ..., 3.0474818, 3.4701748,\n",
" 3.4701748],\n",
" [6.6678863, 6.723158 , 6.723158 , ..., 3.0107741, 3.4445214,\n",
" 3.4445214],\n",
" [6.6678863, 6.723158 , 6.723158 , ..., 3.0107741, 3.4445214,\n",
" 3.4445214]],\n",
"\n",
" [[7.1058626, 6.642485 , 6.642485 , ..., 2.0229402, 2.1857903,\n",
" 2.1857903],\n",
" [4.886838 , 4.619612 , 4.619612 , ..., 1.9086486, 2.0972319,\n",
" 2.0972319],\n",
" [4.886838 , 4.619612 , 4.619612 , ..., 1.9086486, 2.0972319,\n",
" 2.0972319],\n",
" ...,\n",
" [5.5768213, 5.420252 , 5.420252 , ..., 3.046518 , 3.4691026,\n",
" 3.4691026],\n",
" [6.6672096, 6.722429 , 6.722429 , ..., 3.0097334, 3.4434981,\n",
" 3.4434981],\n",
" [6.6672096, 6.722429 , 6.722429 , ..., 3.0097334, 3.4434981,\n",
" 3.4434981]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>incident</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>60.61 60.73 60.73 ... 49.35 49.35</div><input id='attrs-7b5630b5-09eb-4c60-9d91-5a7d5e58e864' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b5630b5-09eb-4c60-9d91-5a7d5e58e864' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c93e7864-b122-4836-ae97-c5a023a72d80' class='xr-var-data-in' type='checkbox'><label for='data-c93e7864-b122-4836-ae97-c5a023a72d80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[60.605724, 60.7298 , 60.7298 , ..., 56.343197, 56.211765,\n",
" 56.211765],\n",
" [58.61745 , 59.29856 , 59.29856 , ..., 56.31877 , 56.087345,\n",
" 56.087345],\n",
" [58.61745 , 59.29856 , 59.29856 , ..., 56.31877 , 56.087345,\n",
" 56.087345],\n",
" ...,\n",
" [54.25139 , 53.68512 , 53.68512 , ..., 56.60375 , 56.293167,\n",
" 56.293167],\n",
" [49.53901 , 49.467094, 49.467094, ..., 56.142574, 56.20053 ,\n",
" 56.20053 ],\n",
" [49.53901 , 49.467094, 49.467094, ..., 56.142574, 56.20053 ,\n",
" 56.20053 ]],\n",
"\n",
" [[57.271828, 57.411415, 57.411415, ..., 53.09164 , 52.955715,\n",
" 52.955715],\n",
" [55.310894, 56.01221 , 56.01221 , ..., 53.070183, 52.83356 ,\n",
" 52.83356 ],\n",
" [55.310894, 56.01221 , 56.01221 , ..., 53.070183, 52.83356 ,\n",
" 52.83356 ],\n",
"...\n",
" [50.919353, 50.361748, 50.361748, ..., 53.326973, 53.005245,\n",
" 53.005245],\n",
" [46.306534, 46.237225, 46.237225, ..., 52.86577 , 52.913147,\n",
" 52.913147],\n",
" [46.306534, 46.237225, 46.237225, ..., 52.86577 , 52.913147,\n",
" 52.913147]],\n",
"\n",
" [[53.657246, 53.813133, 53.813133, ..., 49.56781 , 49.427086,\n",
" 49.427086],\n",
" [51.726246, 52.44879 , 52.44879 , ..., 49.5496 , 49.307507,\n",
" 49.307507],\n",
" [51.726246, 52.44879 , 52.44879 , ..., 49.5496 , 49.307507,\n",
" 49.307507],\n",
" ...,\n",
" [47.30976 , 46.761803, 46.761803, ..., 49.775574, 49.442013,\n",
" 49.442013],\n",
" [42.80999 , 42.74367 , 42.74367 , ..., 49.314648, 49.35055 ,\n",
" 49.35055 ],\n",
" [42.80999 , 42.74367 , 42.74367 , ..., 49.314648, 49.35055 ,\n",
" 49.35055 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>relative_azimuth</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>245.2 245.2 245.2 ... 242.3 242.3</div><input id='attrs-d00fb9e5-8e0e-4803-bb90-bd77f5c7f125' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d00fb9e5-8e0e-4803-bb90-bd77f5c7f125' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dcf3cf4-578a-44ea-9d66-7724734fdaf2' class='xr-var-data-in' type='checkbox'><label for='data-3dcf3cf4-578a-44ea-9d66-7724734fdaf2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[245.23027, 245.2305 , 245.2305 , ..., 245.25061, 245.25084,\n",
" 245.25084],\n",
" [245.23038, 245.23059, 245.23059, ..., 245.25069, 245.25092,\n",
" 245.25092],\n",
" [245.23038, 245.23059, 245.23059, ..., 245.25069, 245.25092,\n",
" 245.25092],\n",
" ...,\n",
" [245.23549, 245.23572, 245.23572, ..., 245.2558 , 245.25603,\n",
" 245.25603],\n",
" [245.2356 , 245.2358 , 245.2358 , ..., 245.2559 , 245.25613,\n",
" 245.25613],\n",
" [245.2356 , 245.2358 , 245.2358 , ..., 245.2559 , 245.25613,\n",
" 245.25613]],\n",
"\n",
" [[243.82089, 243.82114, 243.82114, ..., 243.84225, 243.84247,\n",
" 243.84247],\n",
" [243.82101, 243.82124, 243.82124, ..., 243.84235, 243.84259,\n",
" 243.84259],\n",
" [243.82101, 243.82124, 243.82124, ..., 243.84235, 243.84259,\n",
" 243.84259],\n",
"...\n",
" [243.82678, 243.82703, 243.82703, ..., 243.84813, 243.84836,\n",
" 243.84836],\n",
" [243.82687, 243.82712, 243.82712, ..., 243.84824, 243.84848,\n",
" 243.84848],\n",
" [243.82687, 243.82712, 243.82712, ..., 243.84824, 243.84848,\n",
" 243.84848]],\n",
"\n",
" [[242.28741, 242.28767, 242.28767, ..., 242.30997, 242.31021,\n",
" 242.31021],\n",
" [242.28755, 242.2878 , 242.2878 , ..., 242.31006, 242.31032,\n",
" 242.31032],\n",
" [242.28755, 242.2878 , 242.2878 , ..., 242.31006, 242.31032,\n",
" 242.31032],\n",
" ...,\n",
" [242.29414, 242.2944 , 242.2944 , ..., 242.31667, 242.31693,\n",
" 242.31693],\n",
" [242.29428, 242.2945 , 242.2945 , ..., 242.3168 , 242.31705,\n",
" 242.31705],\n",
" [242.29428, 242.2945 , 242.2945 , ..., 242.3168 , 242.31705,\n",
" 242.31705]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>relative_slope</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.05 -44.44 ... -90.67 -90.67</div><input id='attrs-97e74982-c0db-42ff-a8ca-96a0239d693a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97e74982-c0db-42ff-a8ca-96a0239d693a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e609fa9-7507-4f26-b762-73f5f5850a45' class='xr-var-data-in' type='checkbox'><label for='data-2e609fa9-7507-4f26-b762-73f5f5850a45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ -49.053223, -44.440857, -44.440857, ..., -83.68991 ,\n",
" -87.449036, -87.449036],\n",
" [ -57.74568 , -45.218895, -45.218895, ..., -84.12686 ,\n",
" -90.74301 , -90.74301 ],\n",
" [ -57.74568 , -45.218895, -45.218895, ..., -84.12686 ,\n",
" -90.74301 , -90.74301 ],\n",
" ...,\n",
" [-107.41409 , -114.568695, -114.568695, ..., -80.664474,\n",
" -86.616486, -86.616486],\n",
" [-168.37036 , -169.2629 , -169.2629 , ..., -89.256355,\n",
" -88.13374 , -88.13374 ],\n",
" [-168.37036 , -169.2629 , -169.2629 , ..., -89.256355,\n",
" -88.13374 , -88.13374 ]],\n",
"\n",
" [[ -49.86826 , -45.277782, -45.277782, ..., -84.51196 ,\n",
" -88.378876, -88.378876],\n",
" [ -58.578247, -46.030094, -46.030094, ..., -84.92554 ,\n",
" -91.72128 , -91.72128 ],\n",
" [ -58.578247, -46.030094, -46.030094, ..., -84.92554 ,\n",
" -91.72128 , -91.72128 ],\n",
"...\n",
" [-108.60838 , -115.8651 , -115.8651 , ..., -81.59686 ,\n",
" -87.64336 , -87.64336 ],\n",
" [-170.3977 , -171.3019 , -171.3019 , ..., -90.30239 ,\n",
" -89.17901 , -89.17901 ],\n",
" [-170.3977 , -171.3019 , -171.3019 , ..., -90.30239 ,\n",
" -89.17901 , -89.17901 ]],\n",
"\n",
" [[ -51.06412 , -46.540356, -46.540356, ..., -86.130615,\n",
" -89.986786, -89.986786],\n",
" [ -59.929165, -47.449398, -47.449398, ..., -86.555176,\n",
" -93.342224, -93.342224],\n",
" [ -59.929165, -47.449398, -47.449398, ..., -86.555176,\n",
" -93.342224, -93.342224],\n",
" ...,\n",
" [-109.943596, -117.258316, -117.258316, ..., -83.11525 ,\n",
" -89.12642 , -89.12642 ],\n",
" [-172.33145 , -173.24901 , -173.24901 , ..., -91.834526,\n",
" -90.666885, -90.666885],\n",
" [-172.33145 , -173.24901 , -173.24901 , ..., -91.834526,\n",
" -90.666885, -90.666885]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>satellite_azimuth</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>280.4 280.4 280.4 ... 280.4 280.4</div><input id='attrs-38b19870-afb9-4438-9aa7-acb44758d856' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38b19870-afb9-4438-9aa7-acb44758d856' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb553ca4-afde-40fd-b068-c3b2e6fe334e' class='xr-var-data-in' type='checkbox'><label for='data-bb553ca4-afde-40fd-b068-c3b2e6fe334e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[280.4269 , 280.4269 , 280.4269 , ..., 280.4265 , 280.4265 ,\n",
" 280.4265 ],\n",
" [280.42694, 280.42694, 280.42694, ..., 280.4265 , 280.4265 ,\n",
" 280.4265 ],\n",
" [280.42694, 280.42694, 280.42694, ..., 280.4265 , 280.4265 ,\n",
" 280.4265 ],\n",
" ...,\n",
" [280.4281 , 280.4281 , 280.4281 , ..., 280.42767, 280.42767,\n",
" 280.42767],\n",
" [280.42813, 280.4281 , 280.4281 , ..., 280.4277 , 280.4277 ,\n",
" 280.4277 ],\n",
" [280.42813, 280.4281 , 280.4281 , ..., 280.4277 , 280.4277 ,\n",
" 280.4277 ]],\n",
"\n",
" [[280.42706, 280.42706, 280.42706, ..., 280.42667, 280.42664,\n",
" 280.42664],\n",
" [280.4271 , 280.4271 , 280.4271 , ..., 280.42667, 280.42667,\n",
" 280.42667],\n",
" [280.4271 , 280.4271 , 280.4271 , ..., 280.42667, 280.42667,\n",
" 280.42667],\n",
"...\n",
" [280.42825, 280.42825, 280.42825, ..., 280.42783, 280.42783,\n",
" 280.42783],\n",
" [280.42825, 280.42825, 280.42825, ..., 280.42786, 280.42786,\n",
" 280.42786],\n",
" [280.42825, 280.42825, 280.42825, ..., 280.42786, 280.42786,\n",
" 280.42786]],\n",
"\n",
" [[280.42706, 280.42706, 280.42706, ..., 280.42667, 280.42667,\n",
" 280.42667],\n",
" [280.4271 , 280.4271 , 280.4271 , ..., 280.42667, 280.42667,\n",
" 280.42667],\n",
" [280.4271 , 280.4271 , 280.4271 , ..., 280.42667, 280.42667,\n",
" 280.42667],\n",
" ...,\n",
" [280.42825, 280.42825, 280.42825, ..., 280.42783, 280.42783,\n",
" 280.42783],\n",
" [280.42828, 280.42825, 280.42825, ..., 280.42786, 280.42786,\n",
" 280.42786],\n",
" [280.42828, 280.42825, 280.42825, ..., 280.42786, 280.42786,\n",
" 280.42786]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>satellite_view</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.809 3.81 3.81 ... 3.912 3.912</div><input id='attrs-9d2a8a79-15bc-433c-9472-a305954280f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d2a8a79-15bc-433c-9472-a305954280f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-281dd4b2-7780-4cd1-b081-21148398c0ac' class='xr-var-data-in' type='checkbox'><label for='data-281dd4b2-7780-4cd1-b081-21148398c0ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[3.8089683, 3.810391 , 3.810391 , ..., 3.9384184, 3.9398406,\n",
" 3.9398406],\n",
" [3.8093 , 3.8107226, 3.8107226, ..., 3.9387498, 3.940172 ,\n",
" 3.940172 ],\n",
" [3.8093 , 3.8107226, 3.8107226, ..., 3.9387498, 3.940172 ,\n",
" 3.940172 ],\n",
" ...,\n",
" [3.827207 , 3.8286297, 3.8286297, ..., 3.9566514, 3.9580736,\n",
" 3.9580736],\n",
" [3.8275387, 3.8289614, 3.8289614, ..., 3.9569829, 3.958405 ,\n",
" 3.958405 ],\n",
" [3.8275387, 3.8289614, 3.8289614, ..., 3.9569829, 3.958405 ,\n",
" 3.958405 ]],\n",
"\n",
" [[3.7637706, 3.7651935, 3.7651935, ..., 3.8932354, 3.8946579,\n",
" 3.8946579],\n",
" [3.7641025, 3.7655253, 3.7655253, ..., 3.893567 , 3.8949895,\n",
" 3.8949895],\n",
" [3.7641025, 3.7655253, 3.7655253, ..., 3.893567 , 3.8949895,\n",
" 3.8949895],\n",
"...\n",
" [3.7820168, 3.7834396, 3.7834396, ..., 3.911476 , 3.912898 ,\n",
" 3.912898 ],\n",
" [3.7823484, 3.7837713, 3.7837713, ..., 3.9118075, 3.9132297,\n",
" 3.9132297],\n",
" [3.7823484, 3.7837713, 3.7837713, ..., 3.9118075, 3.9132297,\n",
" 3.9132297]],\n",
"\n",
" [[3.7625875, 3.7640104, 3.7640104, ..., 3.8920527, 3.893475 ,\n",
" 3.893475 ],\n",
" [3.7629192, 3.7643423, 3.7643423, ..., 3.8923843, 3.8938067,\n",
" 3.8938067],\n",
" [3.7629192, 3.7643423, 3.7643423, ..., 3.8923843, 3.8938067,\n",
" 3.8938067],\n",
" ...,\n",
" [3.7808337, 3.7822566, 3.7822566, ..., 3.9102933, 3.9117157,\n",
" 3.9117157],\n",
" [3.7811656, 3.7825885, 3.7825885, ..., 3.910625 , 3.9120474,\n",
" 3.9120474],\n",
" [3.7811656, 3.7825885, 3.7825885, ..., 3.910625 , 3.9120474,\n",
" 3.9120474]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>solar_azimuth</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>35.2 35.2 35.2 ... 38.11 38.11</div><input id='attrs-a1afb718-3614-4ee7-be1b-850da94995fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1afb718-3614-4ee7-be1b-850da94995fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73015c4d-39d1-4f94-ae5c-cbf16818d68a' class='xr-var-data-in' type='checkbox'><label for='data-73015c4d-39d1-4f94-ae5c-cbf16818d68a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[35.196644, 35.196415, 35.196415, ..., 35.175907, 35.17568 ,\n",
" 35.17568 ],\n",
" [35.19657 , 35.196342, 35.196342, ..., 35.17583 , 35.175606,\n",
" 35.175606],\n",
" [35.19657 , 35.196342, 35.196342, ..., 35.17583 , 35.175606,\n",
" 35.175606],\n",
" ...,\n",
" [35.19261 , 35.192383, 35.192383, ..., 35.17187 , 35.171642,\n",
" 35.171642],\n",
" [35.19254 , 35.19231 , 35.19231 , ..., 35.1718 , 35.17157 ,\n",
" 35.17157 ],\n",
" [35.19254 , 35.19231 , 35.19231 , ..., 35.1718 , 35.17157 ,\n",
" 35.17157 ]],\n",
"\n",
" [[36.60617 , 36.60593 , 36.60593 , ..., 36.584408, 36.584167,\n",
" 36.584167],\n",
" [36.606087, 36.605846, 36.605846, ..., 36.58432 , 36.584084,\n",
" 36.584084],\n",
" [36.606087, 36.605846, 36.605846, ..., 36.58432 , 36.584084,\n",
" 36.584084],\n",
"...\n",
" [36.601463, 36.601223, 36.601223, ..., 36.579697, 36.57946 ,\n",
" 36.57946 ],\n",
" [36.60138 , 36.60114 , 36.60114 , ..., 36.579613, 36.579372,\n",
" 36.579372],\n",
" [36.60138 , 36.60114 , 36.60114 , ..., 36.579613, 36.579372,\n",
" 36.579372]],\n",
"\n",
" [[38.139645, 38.139393, 38.139393, ..., 38.1167 , 38.116447,\n",
" 38.116447],\n",
" [38.139545, 38.139294, 38.139294, ..., 38.1166 , 38.11635 ,\n",
" 38.11635 ],\n",
" [38.139545, 38.139294, 38.139294, ..., 38.1166 , 38.11635 ,\n",
" 38.11635 ],\n",
" ...,\n",
" [38.13411 , 38.133858, 38.133858, ..., 38.11116 , 38.11091 ,\n",
" 38.11091 ],\n",
" [38.13401 , 38.13376 , 38.13376 , ..., 38.11106 , 38.11081 ,\n",
" 38.11081 ],\n",
" [38.13401 , 38.13376 , 38.13376 , ..., 38.11106 , 38.11081 ,\n",
" 38.11081 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>solar_zenith</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>54.42 54.42 54.42 ... 47.57 47.57</div><input id='attrs-c853e2bb-81bb-47b7-bd0f-747168a02b3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c853e2bb-81bb-47b7-bd0f-747168a02b3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31f77d3f-2690-441c-a456-918d3b9d5788' class='xr-var-data-in' type='checkbox'><label for='data-31f77d3f-2690-441c-a456-918d3b9d5788' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[54.42443 , 54.424328, 54.424328, ..., 54.415077, 54.414974,\n",
" 54.414974],\n",
" [54.424576, 54.424477, 54.424477, ..., 54.415226, 54.415123,\n",
" 54.415123],\n",
" [54.424576, 54.424477, 54.424477, ..., 54.415226, 54.415123,\n",
" 54.415123],\n",
" ...,\n",
" [54.432552, 54.43245 , 54.43245 , ..., 54.423203, 54.4231 ,\n",
" 54.4231 ],\n",
" [54.4327 , 54.4326 , 54.4326 , ..., 54.42335 , 54.42325 ,\n",
" 54.42325 ],\n",
" [54.4327 , 54.4326 , 54.4326 , ..., 54.42335 , 54.42325 ,\n",
" 54.42325 ]],\n",
"\n",
" [[51.135353, 51.135246, 51.135246, ..., 51.125675, 51.12557 ,\n",
" 51.12557 ],\n",
" [51.135498, 51.13539 , 51.13539 , ..., 51.12582 , 51.125713,\n",
" 51.125713],\n",
" [51.135498, 51.13539 , 51.13539 , ..., 51.12582 , 51.125713,\n",
" 51.125713],\n",
"...\n",
" [51.143337, 51.14323 , 51.14323 , ..., 51.13366 , 51.133553,\n",
" 51.133553],\n",
" [51.143482, 51.143375, 51.143375, ..., 51.133804, 51.133698,\n",
" 51.133698],\n",
" [51.143482, 51.143375, 51.143375, ..., 51.133804, 51.133698,\n",
" 51.133698]],\n",
"\n",
" [[47.57212 , 47.57201 , 47.57201 , ..., 47.56209 , 47.56198 ,\n",
" 47.56198 ],\n",
" [47.57226 , 47.57215 , 47.57215 , ..., 47.562233, 47.562122,\n",
" 47.562122],\n",
" [47.57226 , 47.57215 , 47.57215 , ..., 47.562233, 47.562122,\n",
" 47.562122],\n",
" ...,\n",
" [47.579945, 47.579834, 47.579834, ..., 47.569916, 47.569805,\n",
" 47.569805],\n",
" [47.580086, 47.579975, 47.579975, ..., 47.570057, 47.56995 ,\n",
" 47.56995 ],\n",
" [47.580086, 47.579975, 47.579975, ..., 47.570057, 47.56995 ,\n",
" 47.56995 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>terrain_shadow</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1</div><input id='attrs-ce3f278f-7372-4002-aaa6-8ca8352fd6cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce3f278f-7372-4002-aaa6-8ca8352fd6cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f06b294a-33de-4229-b21a-214f000b1356' class='xr-var-data-in' type='checkbox'><label for='data-f06b294a-33de-4229-b21a-214f000b1356' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>0</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]]], dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fmask</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>2 2 2 2 2 2 2 2 ... 1 1 1 1 1 1 1 1</div><input id='attrs-def94cfb-677e-45c6-a06e-b0d214f4d30b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-def94cfb-677e-45c6-a06e-b0d214f4d30b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc1958bd-3d39-4acf-a0ae-b7d637e6aaee' class='xr-var-data-in' type='checkbox'><label for='data-dc1958bd-3d39-4acf-a0ae-b7d637e6aaee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>0</dd><dt><span>flags_definition :</span></dt><dd>{&#x27;fmask&#x27;: {&#x27;bits&#x27;: [0, 1, 2, 3, 4, 5, 6, 7], &#x27;values&#x27;: {&#x27;0&#x27;: &#x27;nodata&#x27;, &#x27;1&#x27;: &#x27;valid&#x27;, &#x27;2&#x27;: &#x27;cloud&#x27;, &#x27;3&#x27;: &#x27;shadow&#x27;, &#x27;4&#x27;: &#x27;snow&#x27;, &#x27;5&#x27;: &#x27;water&#x27;}, &#x27;description&#x27;: &#x27;Fmask&#x27;}}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[2, 2, 2, ..., 1, 1, 1],\n",
" [2, 2, 2, ..., 1, 1, 1],\n",
" [2, 2, 2, ..., 1, 1, 1],\n",
" ...,\n",
" [2, 2, 2, ..., 1, 1, 1],\n",
" [2, 2, 2, ..., 1, 1, 1],\n",
" [2, 2, 2, ..., 1, 1, 1]],\n",
"\n",
" [[2, 2, 2, ..., 2, 2, 2],\n",
" [2, 2, 2, ..., 2, 2, 2],\n",
" [2, 2, 2, ..., 2, 2, 2],\n",
" ...,\n",
" [2, 2, 2, ..., 3, 3, 3],\n",
" [2, 2, 2, ..., 3, 3, 3],\n",
" [2, 2, 2, ..., 3, 3, 3]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [5, 5, 5, ..., 1, 1, 1],\n",
" [5, 5, 5, ..., 1, 1, 1],\n",
" [5, 5, 5, ..., 1, 1, 1]]], dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_contiguity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1</div><input id='attrs-c6bce468-c9e9-49d1-9a16-8e5693322e32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6bce468-c9e9-49d1-9a16-8e5693322e32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b4ecd7d-874e-4b0d-a2e1-24019f070379' class='xr-var-data-in' type='checkbox'><label for='data-6b4ecd7d-874e-4b0d-a2e1-24019f070379' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>255</dd><dt><span>flags_definition :</span></dt><dd>{&#x27;contiguity&#x27;: {&#x27;bits&#x27;: [0, 1, 2, 3, 4, 5, 6, 7], &#x27;values&#x27;: {&#x27;0&#x27;: &#x27;not_contiguous&#x27;, &#x27;1&#x27;: &#x27;contiguous&#x27;}, &#x27;description&#x27;: &#x27;Pixel contiguity in band stack&#x27;}}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]]], dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_coastal_aerosol</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>1197 1197 1197 1197 ... 693 693 693</div><input id='attrs-1fb81a5a-79fb-4139-8c05-443b2df4b6cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fb81a5a-79fb-4139-8c05-443b2df4b6cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad41108d-224d-46cb-9be1-3c7b96ba2293' class='xr-var-data-in' type='checkbox'><label for='data-ad41108d-224d-46cb-9be1-3c7b96ba2293' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.006797798, 0.01099643, 0.004208363, 0.006568034, 0.005883123, 0.00713011, 0.004333651, 0.006263537, 0.004393687, 0.00253157, 0.000621707, 0.002117729, 0.003175796, 0.005213085, 0.003387375, 0.00258671, 0.002384167, 0.004595227, 0.012990945, 0.050622293, 0.18872241, 0.459106539, 0.730160597, 0.847259495, 0.871235903, 0.881448354, 0.899392736, 0.918669431, 0.933420754, 0.94596319, 0.95041031, 0.953972339, 0.96903168, 0.999546173, 1, 0.976368067, 0.96404957, 0.95417544, 0.923744832, 0.88548879, 0.809016274, 0.601561144, 0.306766029, 0.108527711, 0.030542088, 0.008935131], &#x27;wavelength&#x27;: [411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1197, 1197, 1197, ..., 457, 457, 457],\n",
" [1197, 1197, 1197, ..., 457, 457, 457],\n",
" [1197, 1197, 1197, ..., 457, 457, 457],\n",
" ...,\n",
" [1160, 1160, 1160, ..., 780, 780, 780],\n",
" [1077, 1077, 1077, ..., 771, 771, 771],\n",
" [1077, 1077, 1077, ..., 771, 771, 771]],\n",
"\n",
" [[1096, 1096, 1096, ..., 4063, 4063, 4063],\n",
" [1096, 1096, 1096, ..., 4063, 4063, 4063],\n",
" [1096, 1096, 1096, ..., 4063, 4063, 4063],\n",
" ...,\n",
" [1535, 1535, 1535, ..., 1066, 1066, 1066],\n",
" [1732, 1732, 1732, ..., 1036, 1036, 1036],\n",
" [1732, 1732, 1732, ..., 1036, 1036, 1036]],\n",
"\n",
" [[ 494, 494, 494, ..., 421, 421, 421],\n",
" [ 494, 494, 494, ..., 421, 421, 421],\n",
" [ 494, 494, 494, ..., 421, 421, 421],\n",
" ...,\n",
" [ 415, 415, 415, ..., 721, 721, 721],\n",
" [ 406, 406, 406, ..., 693, 693, 693],\n",
" [ 406, 406, 406, ..., 693, 693, 693]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_blue</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>786 843 862 892 ... 832 798 774 839</div><input id='attrs-ae05805b-1d11-4d33-8b68-7fe2e422c03f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae05805b-1d11-4d33-8b68-7fe2e422c03f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f53c9bd8-0381-4850-a336-e0ff91356e47' class='xr-var-data-in' type='checkbox'><label for='data-f53c9bd8-0381-4850-a336-e0ff91356e47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.001893306, 0.019440751, 0.020059028, 0.014109631, 0.015612858, 0.015448868, 0.017034152, 0.013311359, 0.014462036, 0.009592091, 0.014500694, 0.011159264, 0.013332524, 0.01355731, 0.01426, 0.014717634, 0.015989541, 0.030654247, 0.055432753, 0.120228972, 0.252260953, 0.462862499, 0.65241169, 0.77750832, 0.824333103, 0.832077099, 0.835037767, 0.838761115, 0.864126031, 0.883293587, 0.90569382, 0.921186621, 0.936616967, 0.931024626, 0.927547539, 0.916622744, 0.9060165, 0.897870416, 0.903146598, 0.908994286, 0.920859439, 0.924523699, 0.918843658, 0.907981319, 0.898032665, 0.88735796, 0.873065866, 0.857761622, 0.846132814, 0.843382711, 0.857924772, 0.879320632, 0.903975503, 0.919580552, 0.946712663, 0.969406608, 0.993636046, 0.999320649, 1, 0.995107621, 0.984163047, 0.979509527, 0.978185449, 0.972278886, 0.96293492, 0.95355824, 0.938134944, 0.924777929, 0.909590075, 0.902313691, 0.892251397, 0.890060534, 0.891851681, 0.899164865, 0.910901434, 0.924636296, 0.938626228, 0.953526854, 0.971831245, 0.987690608, 0.996791216, 0.993851876, 0.9816383, 0.958970396, 0.893259218, 0.736063596, 0.52101528, 0.332578748, 0.195080476, 0.117429222, 0.075138809, 0.050991983, 0.032154822, 0.015134166, 0.004477169], &#x27;wavelength&#x27;: [438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 786, 843, 862, ..., 532, 544, 491],\n",
" [ 785, 1025, 1134, ..., 541, 545, 520],\n",
" [ 931, 1064, 1078, ..., 563, 521, 524],\n",
" ...,\n",
" [1024, 1019, 1014, ..., 870, 977, 1045],\n",
" [ 976, 1000, 993, ..., 926, 914, 1026],\n",
" [ 961, 977, 977, ..., 902, 844, 938]],\n",
"\n",
" [[1162, 1378, 1526, ..., 4169, 4143, 4056],\n",
" [1104, 1234, 1332, ..., 4344, 4297, 4172],\n",
" [ 994, 1109, 1286, ..., 4381, 4292, 4133],\n",
" ...,\n",
" [1338, 1408, 1456, ..., 1252, 1380, 1377],\n",
" [1185, 1281, 1324, ..., 1195, 1288, 1355],\n",
" [1090, 1142, 1180, ..., 1158, 1173, 1273]],\n",
"\n",
" [[ 570, 519, 390, ..., 508, 504, 498],\n",
" [ 695, 764, 538, ..., 509, 499, 499],\n",
" [ 657, 590, 450, ..., 493, 499, 504],\n",
" ...,\n",
" [ 561, 558, 572, ..., 854, 936, 952],\n",
" [ 553, 566, 575, ..., 810, 832, 909],\n",
" [ 547, 550, 540, ..., 798, 774, 839]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_green</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>891 1046 1005 ... 1006 1034 1145</div><input id='attrs-fd8e60cb-ceca-4e64-bb3f-90bebdcc56d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd8e60cb-ceca-4e64-bb3f-90bebdcc56d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d178e353-cf0b-4daa-b1d5-0b53648e1e78' class='xr-var-data-in' type='checkbox'><label for='data-d178e353-cf0b-4daa-b1d5-0b53648e1e78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.005090312, 0.026897029, 0.12087986, 0.33742273, 0.603624689, 0.810967523, 0.91573833, 0.92605288, 0.92083242, 0.911237119, 0.902005739, 0.897081513, 0.899066029, 0.900672338, 0.902488081, 0.906886173, 0.915610562, 0.927756371, 0.941055569, 0.954196504, 0.966908428, 0.981390028, 0.991619278, 1, 0.999754078, 0.994046577, 0.981792818, 0.968692612, 0.957607907, 0.945644641, 0.92580977, 0.897152993, 0.838534201, 0.698446797, 0.493502787, 0.276900547, 0.107781358, 0.029913795, 0.007336673, 0.000838123], &#x27;wavelength&#x27;: [536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 891, 1046, 1005, ..., 847, 829, 795],\n",
" [ 892, 1398, 1302, ..., 803, 797, 827],\n",
" [1108, 1430, 1240, ..., 820, 825, 844],\n",
" ...,\n",
" [1306, 1306, 1295, ..., 1167, 1253, 1375],\n",
" [1300, 1279, 1292, ..., 1261, 1173, 1295],\n",
" [1238, 1236, 1278, ..., 1158, 1088, 1175]],\n",
"\n",
" [[1152, 1308, 1389, ..., 4466, 4480, 4395],\n",
" [1093, 1162, 1325, ..., 4531, 4546, 4426],\n",
" [ 989, 1017, 1211, ..., 4539, 4495, 4404],\n",
" ...,\n",
" [1295, 1383, 1431, ..., 1566, 1736, 1735],\n",
" [1183, 1259, 1275, ..., 1485, 1588, 1651],\n",
" [1081, 1127, 1174, ..., 1404, 1437, 1587]],\n",
"\n",
" [[ 662, 770, 661, ..., 785, 772, 807],\n",
" [ 926, 1066, 760, ..., 743, 785, 810],\n",
" [ 908, 763, 623, ..., 776, 826, 827],\n",
" ...,\n",
" [ 867, 839, 860, ..., 1120, 1220, 1204],\n",
" [ 842, 827, 845, ..., 1086, 1075, 1229],\n",
" [ 826, 831, 823, ..., 1006, 1034, 1145]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_red</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>986 1092 1040 ... 1236 1267 1426</div><input id='attrs-a10e1cc6-d549-4851-80df-30a65da07993' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a10e1cc6-d549-4851-80df-30a65da07993' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d305a7d3-e5d1-42e5-a4a4-eaab6c88913a' class='xr-var-data-in' type='checkbox'><label for='data-d305a7d3-e5d1-42e5-a4a4-eaab6c88913a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.002584, 0.034529, 0.14997, 0.464826, 0.817746, 0.965324, 0.983869, 0.9969, 1.0, 0.995449, 0.991334, 0.977215, 0.936802, 0.873776, 0.814166, 0.776669, 0.764864, 0.775091, 0.801359, 0.830828, 0.857112, 0.883581, 0.90895, 0.934759, 0.955931, 0.96811, 0.973219, 0.971572, 0.969003, 0.965712, 0.960481, 0.944811, 0.884152, 0.706167, 0.422967, 0.189853, 0.063172, 0.020615, 0.002034], &#x27;wavelength&#x27;: [646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 986, 1092, 1040, ..., 1078, 1128, 991],\n",
" [1026, 1633, 1511, ..., 1050, 1090, 1028],\n",
" [1337, 1711, 1392, ..., 1114, 1085, 1098],\n",
" ...,\n",
" [1314, 1323, 1343, ..., 1409, 1606, 1671],\n",
" [1349, 1353, 1323, ..., 1489, 1435, 1546],\n",
" [1343, 1335, 1336, ..., 1434, 1322, 1437]],\n",
"\n",
" [[1127, 1252, 1367, ..., 4882, 4869, 4821],\n",
" [1089, 1153, 1259, ..., 4859, 4859, 4797],\n",
" [ 995, 1001, 1146, ..., 4778, 4800, 4739],\n",
" ...,\n",
" [1243, 1314, 1386, ..., 1929, 2159, 2088],\n",
" [1143, 1200, 1257, ..., 1878, 1930, 2084],\n",
" [1085, 1081, 1146, ..., 1741, 1773, 2035]],\n",
"\n",
" [[ 813, 806, 727, ..., 1083, 1067, 1060],\n",
" [1145, 1209, 940, ..., 1059, 1094, 1095],\n",
" [1178, 867, 771, ..., 1097, 1137, 1154],\n",
" ...,\n",
" [ 908, 906, 902, ..., 1408, 1519, 1526],\n",
" [ 896, 909, 882, ..., 1318, 1333, 1503],\n",
" [ 872, 879, 852, ..., 1236, 1267, 1426]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_red_edge_1</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>1472 1453 1453 ... 1634 1721 1721</div><input id='attrs-2d71411e-c06f-4bee-9bd5-b40c0f12b55c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d71411e-c06f-4bee-9bd5-b40c0f12b55c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-643b7472-dcba-4e9f-ad71-921bf6d655c0' class='xr-var-data-in' type='checkbox'><label for='data-643b7472-dcba-4e9f-ad71-921bf6d655c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.010471827, 0.057252544, 0.214724996, 0.547189415, 0.871043978, 0.968446586, 0.99124182, 1, 0.99509331, 0.987602081, 0.979408704, 0.970910946, 0.959528083, 0.94236861, 0.926720132, 0.894557475, 0.767248071, 0.504134435, 0.180610636, 0.034019737, 0.002436944], &#x27;wavelength&#x27;: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1472, 1453, 1453, ..., 1443, 1466, 1466],\n",
" [1555, 1744, 1744, ..., 1443, 1499, 1499],\n",
" [1555, 1744, 1744, ..., 1443, 1499, 1499],\n",
" ...,\n",
" [1729, 1718, 1718, ..., 1773, 1866, 1866],\n",
" [1617, 1659, 1659, ..., 1717, 1769, 1769],\n",
" [1617, 1659, 1659, ..., 1717, 1769, 1769]],\n",
"\n",
" [[1383, 1553, 1553, ..., 5379, 5356, 5356],\n",
" [1177, 1337, 1337, ..., 5282, 5293, 5293],\n",
" [1177, 1337, 1337, ..., 5282, 5293, 5293],\n",
" ...,\n",
" [1465, 1594, 1594, ..., 2272, 2559, 2559],\n",
" [1221, 1324, 1324, ..., 2274, 2350, 2350],\n",
" [1221, 1324, 1324, ..., 2274, 2350, 2350]],\n",
"\n",
" [[1083, 948, 948, ..., 1434, 1475, 1475],\n",
" [1346, 1384, 1384, ..., 1447, 1563, 1563],\n",
" [1346, 1384, 1384, ..., 1447, 1563, 1563],\n",
" ...,\n",
" [1157, 1129, 1129, ..., 1653, 1781, 1781],\n",
" [1050, 1066, 1066, ..., 1634, 1721, 1721],\n",
" [1050, 1066, 1066, ..., 1634, 1721, 1721]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_red_edge_2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>2330 2184 2184 ... 1925 2001 2001</div><input id='attrs-17665cb9-d275-40f1-b786-779a72c6e263' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17665cb9-d275-40f1-b786-779a72c6e263' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22d9752f-1fde-4a23-9db7-0a616f543d1a' class='xr-var-data-in' type='checkbox'><label for='data-22d9752f-1fde-4a23-9db7-0a616f543d1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.017433807, 0.105812957, 0.386050533, 0.782313159, 0.905953099, 0.916416606, 0.92333441, 0.932013378, 0.947550036, 0.965839591, 0.978552758, 0.991319723, 1, 0.999955845, 0.971267313, 0.81917496, 0.467395748, 0.094120897, 0.009834009], &#x27;wavelength&#x27;: [730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[2330, 2184, 2184, ..., 2450, 2501, 2501],\n",
" [2237, 2438, 2438, ..., 2381, 2457, 2457],\n",
" [2237, 2438, 2438, ..., 2381, 2457, 2457],\n",
" ...,\n",
" [1952, 1959, 1959, ..., 2098, 2244, 2244],\n",
" [1839, 1822, 1822, ..., 2053, 2112, 2112],\n",
" [1839, 1822, 1822, ..., 2053, 2112, 2112]],\n",
"\n",
" [[1660, 1817, 1817, ..., 5897, 5828, 5828],\n",
" [1413, 1593, 1593, ..., 5705, 5745, 5745],\n",
" [1413, 1593, 1593, ..., 5705, 5745, 5745],\n",
" ...,\n",
" [1567, 1704, 1704, ..., 2730, 2961, 2961],\n",
" [1347, 1488, 1488, ..., 2698, 2756, 2756],\n",
" [1347, 1488, 1488, ..., 2698, 2756, 2756]],\n",
"\n",
" [[1672, 1788, 1788, ..., 2120, 2246, 2246],\n",
" [1734, 1987, 1987, ..., 2089, 2259, 2259],\n",
" [1734, 1987, 1987, ..., 2089, 2259, 2259],\n",
" ...,\n",
" [ 707, 700, 700, ..., 2015, 2156, 2156],\n",
" [ 647, 632, 632, ..., 1925, 2001, 2001],\n",
" [ 647, 632, 632, ..., 1925, 2001, 2001]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_red_edge_3</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>2598 2353 2353 ... 2056 2095 2095</div><input id='attrs-57f85858-c1a1-4d36-acdd-4f62b42c6fe5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57f85858-c1a1-4d36-acdd-4f62b42c6fe5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc3ebd53-8e39-414a-a2cb-e689948bac29' class='xr-var-data-in' type='checkbox'><label for='data-dc3ebd53-8e39-414a-a2cb-e689948bac29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.010282026, 0.037427714, 0.112026989, 0.257953812, 0.478980823, 0.730216783, 0.912510408, 0.971721033, 0.964616097, 0.955734525, 0.964925586, 0.986223289, 1, 0.998046627, 0.98393444, 0.96569621, 0.947277433, 0.927083998, 0.90976539, 0.886948914, 0.859517187, 0.827959173, 0.776383783, 0.671173028, 0.481809979, 0.236251944, 0.069538392, 0.013431956, 0.001257675], &#x27;wavelength&#x27;: [766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[2598, 2353, 2353, ..., 2820, 2735, 2735],\n",
" [2645, 2464, 2464, ..., 2726, 2675, 2675],\n",
" [2645, 2464, 2464, ..., 2726, 2675, 2675],\n",
" ...,\n",
" [2082, 2066, 2066, ..., 2200, 2313, 2313],\n",
" [1892, 1879, 1879, ..., 2160, 2246, 2246],\n",
" [1892, 1879, 1879, ..., 2160, 2246, 2246]],\n",
"\n",
" [[1656, 1793, 1793, ..., 5768, 5738, 5738],\n",
" [1461, 1546, 1546, ..., 5559, 5616, 5616],\n",
" [1461, 1546, 1546, ..., 5559, 5616, 5616],\n",
" ...,\n",
" [1540, 1680, 1680, ..., 2832, 3060, 3060],\n",
" [1385, 1542, 1542, ..., 2717, 2903, 2903],\n",
" [1385, 1542, 1542, ..., 2717, 2903, 2903]],\n",
"\n",
" [[1808, 1841, 1841, ..., 2325, 2432, 2432],\n",
" [1929, 1956, 1956, ..., 2267, 2451, 2451],\n",
" [1929, 1956, 1956, ..., 2267, 2451, 2451],\n",
" ...,\n",
" [ 672, 666, 666, ..., 2046, 2259, 2259],\n",
" [ 650, 611, 611, ..., 2056, 2095, 2095],\n",
" [ 650, 611, 611, ..., 2056, 2095, 2095]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_nir_1</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>2399 2320 2354 ... 2149 2236 2371</div><input id='attrs-6853426b-625c-4630-9ea3-0be8fa175d7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6853426b-625c-4630-9ea3-0be8fa175d7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1ece5c2-b490-4fbf-82d1-cfb3a3c0f74f' class='xr-var-data-in' type='checkbox'><label for='data-f1ece5c2-b490-4fbf-82d1-cfb3a3c0f74f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.000386696, 0.003018401, 0.01669158, 0.028340486, 0.0502885, 0.08626388, 0.149596686, 0.258428566, 0.425108406, 0.631697563, 0.803109115, 0.904984654, 0.939674653, 0.944958731, 0.948238826, 0.963880684, 0.979861632, 0.991635585, 0.996362309, 1, 0.998257939, 0.998488834, 0.989253171, 0.98294089, 0.968189827, 0.958222106, 0.951650369, 0.947054991, 0.944166995, 0.948383123, 0.946461415, 0.942132884, 0.929937199, 0.914683918, 0.893248878, 0.873037871, 0.852648452, 0.836447483, 0.824300756, 0.814333379, 0.810955964, 0.803715941, 0.791980175, 0.783270185, 0.767838865, 0.754167357, 0.742309406, 0.727235815, 0.719323269, 0.713866399, 0.718941021, 0.726527917, 0.738324031, 0.750210769, 0.761800392, 0.769900245, 0.781725199, 0.78381047, 0.783069959, 0.782718588, 0.781644143, 0.780380397, 0.781443024, 0.781701218, 0.78177353, 0.780064535, 0.777591823, 0.770831803, 0.764574958, 0.753876586, 0.743324604, 0.733775698, 0.722497914, 0.712900724, 0.699439134, 0.688575227, 0.674039061, 0.657552716, 0.643729834, 0.62865391, 0.614005803, 0.603233252, 0.594982815, 0.588091928, 0.585186507, 0.582889219, 0.581493721, 0.580137218, 0.574804624, 0.576654614, 0.572399696, 0.570992768, 0.569291451, 0.571025201, 0.570861066, 0.572213154, 0.575418141, 0.577804028, 0.579603586, 0.579294979, 0.578302049, 0.57565598, 0.569721665, 0.561891364, 0.556830745, 0.549385012, 0.545858439, 0.542536249, 0.541895109, 0.539852497, 0.537997281, 0.53195493, 0.522275927, 0.505572421, 0.48804203, 0.469610434, 0.456107021, 0.445848869, 0.443119818, 0.445581498, 0.447532506, 0.440183411, 0.418240241, 0.369455837, 0.301788007, 0.235014942, 0.174244972, 0.122382945, 0.083462794, 0.056162189, 0.038006008, 0.024240249, 0.014845963, 0.006132899], &#x27;wavelength&#x27;: [774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[2399, 2320, 2354, ..., 2901, 2819, 2895],\n",
" [2381, 2834, 2734, ..., 2735, 2763, 2948],\n",
" [2600, 2854, 2723, ..., 2835, 2886, 2963],\n",
" ...,\n",
" [1735, 1754, 1818, ..., 2311, 2490, 2618],\n",
" [1758, 1774, 1844, ..., 2400, 2377, 2523],\n",
" [1759, 1757, 1790, ..., 2346, 2312, 2432]],\n",
"\n",
" [[1945, 2135, 2273, ..., 6127, 6078, 5999],\n",
" [1868, 2001, 2145, ..., 6170, 6122, 6045],\n",
" [1732, 1832, 2030, ..., 6162, 6142, 6043],\n",
" ...,\n",
" [1953, 2020, 2063, ..., 3127, 3431, 3456],\n",
" [1743, 1858, 1899, ..., 3093, 3180, 3432],\n",
" [1591, 1673, 1729, ..., 3028, 3125, 3263]],\n",
"\n",
" [[2100, 1875, 1726, ..., 2470, 2584, 2717],\n",
" [2334, 2191, 2016, ..., 2367, 2565, 2711],\n",
" [2204, 2095, 1881, ..., 2418, 2618, 2687],\n",
" ...,\n",
" [ 582, 573, 554, ..., 2226, 2500, 2532],\n",
" [ 549, 550, 544, ..., 2210, 2274, 2478],\n",
" [ 535, 546, 544, ..., 2149, 2236, 2371]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_nir_2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>3097 2856 2856 ... 2339 2410 2410</div><input id='attrs-4c4cf11e-357b-45f9-9842-6c9aba7caa37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c4cf11e-357b-45f9-9842-6c9aba7caa37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d01c49aa-a045-4364-a2e8-4a290ccf45ef' class='xr-var-data-in' type='checkbox'><label for='data-d01c49aa-a045-4364-a2e8-4a290ccf45ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.001661751, 0.01602581, 0.032253895, 0.073411273, 0.168937582, 0.345506138, 0.569417239, 0.79634996, 0.937581155, 0.980942645, 0.987241334, 0.994409463, 0.998963959, 0.999788107, 1, 0.994482469, 0.987807181, 0.983157165, 0.979826684, 0.975089851, 0.972818786, 0.966320275, 0.958195153, 0.941870745, 0.894185366, 0.778588669, 0.597362542, 0.377361257, 0.184667876, 0.079045495, 0.033393337, 0.015808546, 0.00162404], &#x27;wavelength&#x27;: [848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[3097, 2856, 2856, ..., 3145, 3181, 3181],\n",
" [3078, 3060, 3060, ..., 3066, 3152, 3152],\n",
" [3078, 3060, 3060, ..., 3066, 3152, 3152],\n",
" ...,\n",
" [2213, 2207, 2207, ..., 2491, 2666, 2666],\n",
" [2020, 1971, 1971, ..., 2447, 2561, 2561],\n",
" [2020, 1971, 1971, ..., 2447, 2561, 2561]],\n",
"\n",
" [[1738, 1897, 1897, ..., 6078, 6019, 6019],\n",
" [1527, 1661, 1661, ..., 5874, 5919, 5919],\n",
" [1527, 1661, 1661, ..., 5874, 5919, 5919],\n",
" ...,\n",
" [1589, 1725, 1725, ..., 3229, 3542, 3542],\n",
" [1470, 1652, 1652, ..., 3206, 3336, 3336],\n",
" [1470, 1652, 1652, ..., 3206, 3336, 3336]],\n",
"\n",
" [[2016, 2129, 2129, ..., 2675, 2790, 2790],\n",
" [2114, 2358, 2358, ..., 2627, 2772, 2772],\n",
" [2114, 2358, 2358, ..., 2627, 2772, 2772],\n",
" ...,\n",
" [ 446, 440, 440, ..., 2338, 2569, 2569],\n",
" [ 401, 381, 381, ..., 2339, 2410, 2410],\n",
" [ 401, 381, 381, ..., 2339, 2410, 2410]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_swir_2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>2928 2561 2561 ... 3273 3294 3294</div><input id='attrs-fd87b472-e83d-4a05-882c-f2cdb37c2c09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd87b472-e83d-4a05-882c-f2cdb37c2c09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a28da4e-77c0-45f4-bf90-1f35fd541696' class='xr-var-data-in' type='checkbox'><label for='data-2a28da4e-77c0-45f4-bf90-1f35fd541696' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [1.15e-05, 2.6996e-05, 8.1157e-05, 0.000169507, 0.000273428, 0.000343776, 0.000459515, 0.000651677, 0.0008223, 0.001076746, 0.001428776, 0.001958681, 0.002660821, 0.003682001, 0.005217308, 0.007572684, 0.011246256, 0.01713141, 0.026703068, 0.041388968, 0.062904714, 0.094492263, 0.139743066, 0.200760503, 0.281513117, 0.380879812, 0.490209915, 0.606204368, 0.714558374, 0.80351452, 0.86986655, 0.916284448, 0.946609049, 0.963892644, 0.973065345, 0.977057349, 0.977796293, 0.976890332, 0.975338048, 0.973392995, 0.971480798, 0.969740168, 0.969095034, 0.96969742, 0.970522078, 0.972736269, 0.976138953, 0.978944681, 0.981010782, 0.983513536, 0.984837133, 0.984404132, 0.983920166, 0.983372624, 0.981458796, 0.979391949, 0.978058392, 0.976263051, 0.975392679, 0.9757089, 0.976805245, 0.978986183, 0.981998545, 0.98520893, 0.988659162, 0.992331977, 0.994804634, 0.99589809, 0.995903119, 0.994773417, 0.992101664, 0.988591774, 0.984908418, 0.981101728, 0.976805235, 0.97354566, 0.971948013, 0.97053597, 0.970436371, 0.972382602, 0.975244492, 0.978552743, 0.982971465, 0.98808508, 0.992662671, 0.996435703, 0.99906056, 1, 0.999036445, 0.996642174, 0.993293536, 0.989674029, 0.98579838, 0.982153372, 0.979817194, 0.979473331, 0.980262857, 0.982464858, 0.986000509, 0.989562258, 0.991723341, 0.992201372, 0.98939229, 0.982102331, 0.970157085, 0.953186779, 0.932369062, 0.908001591, 0.884086561, 0.864271526, 0.850889881, 0.844206087, 0.843448232, 0.847024828, 0.848701823, 0.840540222, 0.81352592, 0.756843245, 0.670393147, 0.565754809, 0.457566037, 0.353763564, 0.256912748, 0.176281, 0.115842988, 0.073512768, 0.046527708, 0.02905985, 0.018579999, 0.012463091, 0.00878944, 0.006316358, 0.004582867, 0.003359394, 0.002462997, 0.001990739, 0.001501488, 0.001123371, 0.00078272, 0.000541322, 0.000281204, 0.00013347], &#x27;wavelength&#x27;: [1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[2928, 2561, 2561, ..., 3284, 3287, 3287],\n",
" [3008, 2995, 2995, ..., 3320, 3320, 3320],\n",
" [3008, 2995, 2995, ..., 3320, 3320, 3320],\n",
" ...,\n",
" [2438, 2469, 2469, ..., 3582, 3625, 3625],\n",
" [2306, 2320, 2320, ..., 3528, 3584, 3584],\n",
" [2306, 2320, 2320, ..., 3528, 3584, 3584]],\n",
"\n",
" [[1893, 2066, 2066, ..., 5802, 5666, 5666],\n",
" [1709, 1849, 1849, ..., 5621, 5552, 5552],\n",
" [1709, 1849, 1849, ..., 5621, 5552, 5552],\n",
" ...,\n",
" [1732, 1852, 1852, ..., 4607, 4711, 4711],\n",
" [1454, 1598, 1598, ..., 4621, 4636, 4636],\n",
" [1454, 1598, 1598, ..., 4621, 4636, 4636]],\n",
"\n",
" [[2147, 1860, 1860, ..., 2990, 2981, 2981],\n",
" [2386, 2370, 2370, ..., 3075, 3108, 3108],\n",
" [2386, 2370, 2370, ..., 3075, 3108, 3108],\n",
" ...,\n",
" [ 133, 128, 128, ..., 3291, 3343, 3343],\n",
" [ 121, 108, 108, ..., 3273, 3294, 3294],\n",
" [ 121, 108, 108, ..., 3273, 3294, 3294]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_swir_3</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>2869 2273 2273 ... 2637 2669 2669</div><input id='attrs-c9ae50b8-d0e5-4eaa-b416-f850ab657d10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9ae50b8-d0e5-4eaa-b416-f850ab657d10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74830c20-3ddb-4ed4-a3cc-143eae89cb95' class='xr-var-data-in' type='checkbox'><label for='data-74830c20-3ddb-4ed4-a3cc-143eae89cb95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.000227567, 0.000739283, 0.001656775, 0.003019587, 0.004589377, 0.005924935, 0.007534774, 0.008748008, 0.010265481, 0.012236179, 0.014593479, 0.017458937, 0.021063245, 0.025428056, 0.03060944, 0.037234457, 0.045771325, 0.056362502, 0.070016996, 0.088004988, 0.110694417, 0.138884174, 0.173287791, 0.214374591, 0.261990789, 0.317227795, 0.380865706, 0.449470316, 0.522785467, 0.598898522, 0.672128213, 0.737899139, 0.792930708, 0.835658783, 0.866335142, 0.886329697, 0.897588245, 0.901517855, 0.900790721, 0.897113531, 0.892352598, 0.88796428, 0.884432193, 0.882095059, 0.881695748, 0.88269782, 0.887154405, 0.892732955, 0.898903582, 0.905619271, 0.912841006, 0.920179789, 0.926912882, 0.933094888, 0.938438355, 0.943377038, 0.945579227, 0.947407512, 0.948568289, 0.94882972, 0.948111791, 0.947115734, 0.946126982, 0.944870644, 0.943485039, 0.941894052, 0.942445527, 0.943274219, 0.944243794, 0.94528606, 0.946212496, 0.947084905, 0.947941677, 0.948940117, 0.949880321, 0.950676414, 0.951054332, 0.951531833, 0.952326952, 0.952721089, 0.952552047, 0.952417855, 0.952654092, 0.95296197, 0.95331832, 0.953779111, 0.954291677, 0.954837035, 0.955539257, 0.956750259, 0.957986198, 0.959237259, 0.960451396, 0.96141302, 0.96264388, 0.964122014, 0.963609737, 0.963104517, 0.962753979, 0.961850624, 0.960730243, 0.959560745, 0.958377188, 0.956972347, 0.955119849, 0.953076144, 0.95406055, 0.955176712, 0.955719159, 0.955674616, 0.955356546, 0.954611539, 0.953453566, 0.952124922, 0.950597985, 0.948594073, 0.948562399, 0.948548442, 0.94829598, 0.947706109, 0.946620434, 0.94521576, 0.943480979, 0.942137936, 0.940654943, 0.938918576, 0.941493007, 0.943778866, 0.945751584, 0.947277308, 0.948481875, 0.949621704, 0.950767479, 0.951991493, 0.953624457, 0.955262594, 0.952413026, 0.950488752, 0.949721652, 0.949105026, 0.949712169, 0.95167296, 0.955012323, 0.959777857, 0.966208245, 0.973886163, 0.970920044, 0.969139883, 0.968329935, 0.967635904, 0.967555279, 0.968040602, 0.968508397, 0.968956722, 0.969510275, 0.969967732, 0.969097684, 0.968258197, 0.967549788, 0.96650394, 0.965459532, 0.964366923, 0.962929804, 0.961665594, 0.96063821, 0.959368085, 0.959707097, 0.960359643, 0.9616448, 0.962729828, 0.96370081, 0.964773629, 0.965512685, 0.96634935, 0.96753842, 0.96886815, 0.970549249, 0.972426171, 0.974301395, 0.976012041, 0.977203216, 0.978986062, 0.980446263, 0.981524356, 0.982531672, 0.983336508, 0.98463147, 0.986737985, 0.989144288, 0.991223348, 0.99318448, 0.995273324, 0.996704667, 0.998282418, 0.999605161, 1, 0.998654554, 0.995753158, 0.990605371, 0.981520886, 0.968715091, 0.951679125, 0.929343556, 0.902305299, 0.87044084, 0.831947776, 0.786119345, 0.736343248, 0.681862245, 0.623137717, 0.564024643, 0.506650261, 0.451376118, 0.400487569, 0.354176773, 0.309839746, 0.269312679, 0.234102225, 0.20225298, 0.173669677, 0.149356419, 0.128957364, 0.111530972, 0.09689948, 0.084874763, 0.074063524, 0.064469344, 0.056321561, 0.049381236, 0.043196026, 0.037986086, 0.033468826, 0.028983375, 0.025085752, 0.020007676, 0.013837921, 0.008464001, 0.004443102, 0.000848571], &#x27;wavelength&#x27;: [2065, 2066, 2067, 2068, 2069, 2070, 2071, 2072, 2073, 2074, 2075, 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, 2160, 2161, 2162, 2163, 2164, 2165, 2166, 2167, 2168, 2169, 2170, 2171, 2172, 2173, 2174, 2175, 2176, 2177, 2178, 2179, 2180, 2181, 2182, 2183, 2184, 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, 2193, 2194, 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" [2972, 2842, 2842, ..., 2552, 2577, 2577],\n",
" [2972, 2842, 2842, ..., 2552, 2577, 2577],\n",
" ...,\n",
" [2359, 2321, 2321, ..., 2921, 2931, 2931],\n",
" [2131, 2051, 2051, ..., 2845, 2903, 2903],\n",
" [2131, 2051, 2051, ..., 2845, 2903, 2903]],\n",
"\n",
" [[1351, 1437, 1437, ..., 4673, 4655, 4655],\n",
" [1181, 1266, 1266, ..., 4395, 4470, 4470],\n",
" [1181, 1266, 1266, ..., 4395, 4470, 4470],\n",
" ...,\n",
" [1241, 1343, 1343, ..., 3758, 3759, 3759],\n",
" [1134, 1252, 1252, ..., 3711, 3715, 3715],\n",
" [1134, 1252, 1252, ..., 3711, 3715, 3715]],\n",
"\n",
" [[1496, 1166, 1166, ..., 2158, 2149, 2149],\n",
" [1676, 1666, 1666, ..., 2315, 2337, 2337],\n",
" [1676, 1666, 1666, ..., 2315, 2337, 2337],\n",
" ...,\n",
" [ 96, 96, 96, ..., 2698, 2690, 2690],\n",
" [ 67, 89, 89, ..., 2637, 2669, 2669],\n",
" [ 67, 89, 89, ..., 2637, 2669, 2669]]], dtype=int16)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-17da6fd3-ba69-4d1c-8cc4-d506669d7cd1' class='xr-section-summary-in' type='checkbox' checked><label for='section-17da6fd3-ba69-4d1c-8cc4-d506669d7cd1' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (time: 3, y: 113, x: 185)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2021-08-19T00:46:27.593501 ....\n",
" * y (y) float64 6.199e+06 6.199e+06 ... 6.198e+06\n",
" * x (x) float64 4.605e+05 4.605e+05 ... 4.623e+05\n",
" spatial_ref int32 7854\n",
"Data variables: (12/24)\n",
" azimuthal_exiting (time, y, x) float32 49.07 57.61 ... 130.1 130.1\n",
" azimuthal_incident (time, y, x) float32 0.02078 13.17 ... 39.39 39.39\n",
" exiting (time, y, x) float32 7.126 6.658 ... 3.443 3.443\n",
" incident (time, y, x) float32 60.61 60.73 ... 49.35 49.35\n",
" relative_azimuth (time, y, x) float32 245.2 245.2 ... 242.3 242.3\n",
" relative_slope (time, y, x) float32 -49.05 -44.44 ... -90.67 -90.67\n",
" ... ...\n",
" nbart_red_edge_2 (time, y, x) int16 2330 2184 2184 ... 1925 2001 2001\n",
" nbart_red_edge_3 (time, y, x) int16 2598 2353 2353 ... 2056 2095 2095\n",
" nbart_nir_1 (time, y, x) int16 2399 2320 2354 ... 2149 2236 2371\n",
" nbart_nir_2 (time, y, x) int16 3097 2856 2856 ... 2339 2410 2410\n",
" nbart_swir_2 (time, y, x) int16 2928 2561 2561 ... 3273 3294 3294\n",
" nbart_swir_3 (time, y, x) int16 2869 2273 2273 ... 2637 2669 2669\n",
"Attributes:\n",
" crs: EPSG:7854\n",
" grid_mapping: spatial_ref"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dsb = dc.load(product=\"s2b_ard_granule\",\n",
" **query)\n",
"\n",
"dsb"
]
},
{
"cell_type": "markdown",
"id": "89ebc876-8393-41cd-9aee-84d640466f8d",
"metadata": {},
"source": [
"### Merge both datasets into a single one"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "ee5f06d3-c689-4ce3-8cda-2042be8b46dc",
"metadata": {},
"outputs": [
{
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" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: '►';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: '▼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2 {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time: 6, y: 113, x: 185)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2021-08-19T00:46:27.593501 ....\n",
" * y (y) float64 6.199e+06 6.199e+06 ... 6.198e+06\n",
" * x (x) float64 4.605e+05 4.605e+05 ... 4.623e+05\n",
" spatial_ref int32 7854\n",
"Data variables: (12/24)\n",
" azimuthal_exiting (time, y, x) float32 49.07 57.61 ... 130.6 130.6\n",
" azimuthal_incident (time, y, x) float32 0.02078 13.17 ... 38.6 38.6\n",
" exiting (time, y, x) float32 7.126 6.658 ... 3.506 3.506\n",
" incident (time, y, x) float32 60.61 60.73 ... 47.49 47.49\n",
" relative_azimuth (time, y, x) float32 245.2 245.2 ... 241.5 241.5\n",
" relative_slope (time, y, x) float32 -49.05 -44.44 ... -91.98 -91.98\n",
" ... ...\n",
" nbart_red_edge_2 (time, y, x) int16 2330 2184 2184 ... 646 691 691\n",
" nbart_red_edge_3 (time, y, x) int16 2598 2353 2353 ... 684 711 711\n",
" nbart_nir_1 (time, y, x) int16 2399 2320 2354 ... 716 708 749\n",
" nbart_nir_2 (time, y, x) int16 3097 2856 2856 ... 742 802 802\n",
" nbart_swir_2 (time, y, x) int16 2928 2561 2561 ... 872 886 886\n",
" nbart_swir_3 (time, y, x) int16 2869 2273 2273 ... 677 669 669\n",
"Attributes:\n",
" crs: EPSG:7854\n",
" grid_mapping: spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bfd59e05-7873-46a2-893d-6c2dda0f8552' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bfd59e05-7873-46a2-893d-6c2dda0f8552' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 6</li><li><span class='xr-has-index'>y</span>: 113</li><li><span class='xr-has-index'>x</span>: 185</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-159f22e1-6cd6-4168-b455-359dbcda5989' class='xr-section-summary-in' type='checkbox' checked><label for='section-159f22e1-6cd6-4168-b455-359dbcda5989' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-08-19T00:46:27.593501 ... 2...</div><input id='attrs-4566d90b-d8cf-49d9-81d1-51230a38f68c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4566d90b-d8cf-49d9-81d1-51230a38f68c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b05ec16-2326-46d6-aeb0-9b523d2a5279' class='xr-var-data-in' type='checkbox'><label for='data-0b05ec16-2326-46d6-aeb0-9b523d2a5279' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-08-19T00:46:27.593501000&#x27;, &#x27;2021-08-24T00:46:30.141931000&#x27;,\n",
" &#x27;2021-08-29T00:46:25.694016000&#x27;, &#x27;2021-09-03T00:46:29.069382000&#x27;,\n",
" &#x27;2021-09-08T00:46:24.566743000&#x27;, &#x27;2021-09-13T00:46:28.938832000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.199e+06 6.199e+06 ... 6.198e+06</div><input id='attrs-6c150a87-cf11-4d31-95bb-91bd19071c3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c150a87-cf11-4d31-95bb-91bd19071c3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba2b1e68-8e5d-4eb8-9bbc-253d6fcc91db' class='xr-var-data-in' type='checkbox'><label for='data-ba2b1e68-8e5d-4eb8-9bbc-253d6fcc91db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-10.0</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd></dl></div><div class='xr-var-data'><pre>array([6198965., 6198955., 6198945., 6198935., 6198925., 6198915., 6198905.,\n",
" 6198895., 6198885., 6198875., 6198865., 6198855., 6198845., 6198835.,\n",
" 6198825., 6198815., 6198805., 6198795., 6198785., 6198775., 6198765.,\n",
" 6198755., 6198745., 6198735., 6198725., 6198715., 6198705., 6198695.,\n",
" 6198685., 6198675., 6198665., 6198655., 6198645., 6198635., 6198625.,\n",
" 6198615., 6198605., 6198595., 6198585., 6198575., 6198565., 6198555.,\n",
" 6198545., 6198535., 6198525., 6198515., 6198505., 6198495., 6198485.,\n",
" 6198475., 6198465., 6198455., 6198445., 6198435., 6198425., 6198415.,\n",
" 6198405., 6198395., 6198385., 6198375., 6198365., 6198355., 6198345.,\n",
" 6198335., 6198325., 6198315., 6198305., 6198295., 6198285., 6198275.,\n",
" 6198265., 6198255., 6198245., 6198235., 6198225., 6198215., 6198205.,\n",
" 6198195., 6198185., 6198175., 6198165., 6198155., 6198145., 6198135.,\n",
" 6198125., 6198115., 6198105., 6198095., 6198085., 6198075., 6198065.,\n",
" 6198055., 6198045., 6198035., 6198025., 6198015., 6198005., 6197995.,\n",
" 6197985., 6197975., 6197965., 6197955., 6197945., 6197935., 6197925.,\n",
" 6197915., 6197905., 6197895., 6197885., 6197875., 6197865., 6197855.,\n",
" 6197845.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.605e+05 4.605e+05 ... 4.623e+05</div><input id='attrs-e4d9c382-a338-4b14-b262-11f9d958674f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4d9c382-a338-4b14-b262-11f9d958674f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa0f80b4-abb6-45c7-aea8-2d14a41f1edf' class='xr-var-data-in' type='checkbox'><label for='data-fa0f80b4-abb6-45c7-aea8-2d14a41f1edf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>10.0</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd></dl></div><div class='xr-var-data'><pre>array([460455., 460465., 460475., 460485., 460495., 460505., 460515., 460525.,\n",
" 460535., 460545., 460555., 460565., 460575., 460585., 460595., 460605.,\n",
" 460615., 460625., 460635., 460645., 460655., 460665., 460675., 460685.,\n",
" 460695., 460705., 460715., 460725., 460735., 460745., 460755., 460765.,\n",
" 460775., 460785., 460795., 460805., 460815., 460825., 460835., 460845.,\n",
" 460855., 460865., 460875., 460885., 460895., 460905., 460915., 460925.,\n",
" 460935., 460945., 460955., 460965., 460975., 460985., 460995., 461005.,\n",
" 461015., 461025., 461035., 461045., 461055., 461065., 461075., 461085.,\n",
" 461095., 461105., 461115., 461125., 461135., 461145., 461155., 461165.,\n",
" 461175., 461185., 461195., 461205., 461215., 461225., 461235., 461245.,\n",
" 461255., 461265., 461275., 461285., 461295., 461305., 461315., 461325.,\n",
" 461335., 461345., 461355., 461365., 461375., 461385., 461395., 461405.,\n",
" 461415., 461425., 461435., 461445., 461455., 461465., 461475., 461485.,\n",
" 461495., 461505., 461515., 461525., 461535., 461545., 461555., 461565.,\n",
" 461575., 461585., 461595., 461605., 461615., 461625., 461635., 461645.,\n",
" 461655., 461665., 461675., 461685., 461695., 461705., 461715., 461725.,\n",
" 461735., 461745., 461755., 461765., 461775., 461785., 461795., 461805.,\n",
" 461815., 461825., 461835., 461845., 461855., 461865., 461875., 461885.,\n",
" 461895., 461905., 461915., 461925., 461935., 461945., 461955., 461965.,\n",
" 461975., 461985., 461995., 462005., 462015., 462025., 462035., 462045.,\n",
" 462055., 462065., 462075., 462085., 462095., 462105., 462115., 462125.,\n",
" 462135., 462145., 462155., 462165., 462175., 462185., 462195., 462205.,\n",
" 462215., 462225., 462235., 462245., 462255., 462265., 462275., 462285.,\n",
" 462295.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>7854</div><input id='attrs-452a3bbf-06d4-4673-8111-625b1d6236ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-452a3bbf-06d4-4673-8111-625b1d6236ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10058fde-1e1c-49e5-9cc7-a8df7db112c6' class='xr-var-data-in' type='checkbox'><label for='data-10058fde-1e1c-49e5-9cc7-a8df7db112c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;GDA2020 / MGA zone 54&quot;,GEOGCS[&quot;GDA2020&quot;,DATUM[&quot;Geocentric_Datum_of_Australia_2020&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1168&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;7844&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,141],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,10000000],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;7854&quot;]]</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd></dl></div><div class='xr-var-data'><pre>array(7854, dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f262b789-70c3-4e0c-b694-705d5bddd08c' class='xr-section-summary-in' type='checkbox' ><label for='section-f262b789-70c3-4e0c-b694-705d5bddd08c' class='xr-section-summary' >Data variables: <span>(24)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>azimuthal_exiting</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>49.07 57.61 57.61 ... 130.6 130.6</div><input id='attrs-cd761eae-3edb-463d-a368-9bdba051bb3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd761eae-3edb-463d-a368-9bdba051bb3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9803a293-3dc2-4cf7-b57b-271971b07ea7' class='xr-var-data-in' type='checkbox'><label for='data-9803a293-3dc2-4cf7-b57b-271971b07ea7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 49.074 , 57.60725 , 57.60725 , ..., -164.87091 ,\n",
" -163.92456 , -163.92456 ],\n",
" [ 73.961685, 84.38004 , 84.38004 , ..., -159.74202 ,\n",
" -153.2361 , -153.2361 ],\n",
" [ 73.961685, 84.38004 , 84.38004 , ..., -159.74202 ,\n",
" -153.2361 , -153.2361 ],\n",
" ...,\n",
" [ -48.551876, -84.47027 , -84.47027 , ..., 143.90294 ,\n",
" 127.261 , 127.261 ],\n",
" [ -21.388832, -21.63364 , -21.63364 , ..., 159.10336 ,\n",
" 130.40813 , 130.40813 ],\n",
" [ -21.388832, -21.63364 , -21.63364 , ..., 159.10336 ,\n",
" 130.40813 , 130.40813 ]],\n",
"\n",
" [[ 49.03346 , 57.56224 , 57.56224 , ..., -164.9533 ,\n",
" -163.99246 , -163.99246 ],\n",
" [ 73.907364, 84.31542 , 84.31542 , ..., -159.82843 ,\n",
" -153.2993 , -153.2993 ],\n",
" [ 73.907364, 84.31542 , 84.31542 , ..., -159.82843 ,\n",
" -153.2993 , -153.2993 ],\n",
"...\n",
" [ -48.602196, -84.46297 , -84.46297 , ..., 143.40852 ,\n",
" 126.89828 , 126.89828 ],\n",
" [ -21.073273, -21.317198, -21.317198, ..., 158.71742 ,\n",
" 130.06068 , 130.06068 ],\n",
" [ -21.073273, -21.317198, -21.317198, ..., 158.71742 ,\n",
" 130.06068 , 130.06068 ]],\n",
"\n",
" [[ 49.24661 , 57.79894 , 57.79894 , ..., -164.52357 ,\n",
" -163.6381 , -163.6381 ],\n",
" [ 74.192604, 84.65502 , 84.65502 , ..., -159.37834 ,\n",
" -152.96999 , -152.96999 ],\n",
" [ 74.192604, 84.65502 , 84.65502 , ..., -159.37834 ,\n",
" -152.96999 , -152.96999 ],\n",
" ...,\n",
" [ -48.526443, -84.473946, -84.473946, ..., 144.15105 ,\n",
" 127.44327 , 127.44327 ],\n",
" [ -21.54916 , -21.794455, -21.794455, ..., 159.29668 ,\n",
" 130.58263 , 130.58263 ],\n",
" [ -21.54916 , -21.794455, -21.794455, ..., 159.29668 ,\n",
" 130.58263 , 130.58263 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>azimuthal_incident</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.02078 13.17 13.17 ... 38.6 38.6</div><input id='attrs-b091cc0f-5b34-43a5-a597-7dc97782c5fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b091cc0f-5b34-43a5-a597-7dc97782c5fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4c6b7b9-a14a-4104-9ee8-4a91dc9e36f4' class='xr-var-data-in' type='checkbox'><label for='data-e4c6b7b9-a14a-4104-9ee8-4a91dc9e36f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 2.07791440e-02, 1.31663914e+01, 1.31663914e+01, ...,\n",
" 1.11439186e+02, 1.08626419e+02, 1.08626419e+02],\n",
" [ 1.62160034e+01, 3.91611481e+01, 3.91611481e+01, ...,\n",
" 1.16131111e+02, 1.16020897e+02, 1.16020897e+02],\n",
" [ 1.62160034e+01, 3.91611481e+01, 3.91611481e+01, ...,\n",
" 1.16131111e+02, 1.16020897e+02, 1.16020897e+02],\n",
" ...,\n",
" [-1.55965973e+02, 1.60961044e+02, 1.60961044e+02, ...,\n",
" 6.32384682e+01, 4.06445198e+01, 4.06445198e+01],\n",
" [ 1.70240814e+02, 1.69103470e+02, 1.69103470e+02, ...,\n",
" 6.98470078e+01, 4.22743874e+01, 4.22743874e+01],\n",
" [ 1.70240814e+02, 1.69103470e+02, 1.69103470e+02, ...,\n",
" 6.98470078e+01, 4.22743874e+01, 4.22743874e+01]],\n",
"\n",
" [[-5.31880498e-01, 1.25856676e+01, 1.25856676e+01, ...,\n",
" 1.10716553e+02, 1.07909721e+02, 1.07909721e+02],\n",
" [ 1.56013069e+01, 3.85163956e+01, 3.85163956e+01, ...,\n",
" 1.15403625e+02, 1.15299576e+02, 1.15299576e+02],\n",
" [ 1.56013069e+01, 3.85163956e+01, 3.85163956e+01, ...,\n",
" 1.15403625e+02, 1.15299576e+02, 1.15299576e+02],\n",
"...\n",
" 6.02932701e+01, 3.77718620e+01, 3.77718620e+01],\n",
" [ 1.66595276e+02, 1.65433792e+02, 1.65433792e+02, ...,\n",
" 6.68828964e+01, 3.93937950e+01, 3.93937950e+01],\n",
" [ 1.66595276e+02, 1.65433792e+02, 1.65433792e+02, ...,\n",
" 6.68828964e+01, 3.93937950e+01, 3.93937950e+01]],\n",
"\n",
" [[-2.94916654e+00, 1.00329981e+01, 1.00329981e+01, ...,\n",
" 1.07431953e+02, 1.04652863e+02, 1.04652863e+02],\n",
" [ 1.28668242e+01, 3.56410522e+01, 3.56410522e+01, ...,\n",
" 1.12095245e+02, 1.12018700e+02, 1.12018700e+02],\n",
" [ 1.28668242e+01, 3.56410522e+01, 3.56410522e+01, ...,\n",
" 1.12095245e+02, 1.12018700e+02, 1.12018700e+02],\n",
" ...,\n",
" [-1.59247330e+02, 1.57544373e+02, 1.57544373e+02, ...,\n",
" 5.94855042e+01, 3.69853706e+01, 3.69853706e+01],\n",
" [ 1.65549911e+02, 1.64380630e+02, 1.64380630e+02, ...,\n",
" 6.60682144e+01, 3.86046486e+01, 3.86046486e+01],\n",
" [ 1.65549911e+02, 1.64380630e+02, 1.64380630e+02, ...,\n",
" 6.60682144e+01, 3.86046486e+01, 3.86046486e+01]]],\n",
" dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>exiting</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>7.126 6.658 6.658 ... 3.506 3.506</div><input id='attrs-24ed22c7-aac9-4df1-8c2c-fcd4e81e3fd5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24ed22c7-aac9-4df1-8c2c-fcd4e81e3fd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1564b7b5-42b5-4937-baa5-70770bf07b0d' class='xr-var-data-in' type='checkbox'><label for='data-1564b7b5-42b5-4937-baa5-70770bf07b0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[7.1255193, 6.65835 , 6.65835 , ..., 2.0620348, 2.2265105,\n",
" 2.2265105],\n",
" [4.9121094, 4.6354012, 4.6354012, ..., 1.9479262, 2.13918 ,\n",
" 2.13918 ],\n",
" [4.9121094, 4.6354012, 4.6354012, ..., 1.9479262, 2.13918 ,\n",
" 2.13918 ],\n",
" ...,\n",
" [5.622948 , 5.4666204, 5.4666204, ..., 3.0845783, 3.5099494,\n",
" 3.5099494],\n",
" [6.695535 , 6.7502327, 6.7502327, ..., 3.0513337, 3.4848695,\n",
" 3.4848695],\n",
" [6.695535 , 6.7502327, 6.7502327, ..., 3.0513337, 3.4848695,\n",
" 3.4848695]],\n",
"\n",
" [[7.123179 , 6.656465 , 6.656465 , ..., 2.057379 , 2.2215824,\n",
" 2.2215824],\n",
" [4.909077 , 4.633457 , 4.633457 , ..., 1.9430977, 2.134142 ,\n",
" 2.134142 ],\n",
" [4.909077 , 4.633457 , 4.633457 , ..., 1.9430977, 2.134142 ,\n",
" 2.134142 ],\n",
"...\n",
" [5.5768213, 5.420252 , 5.420252 , ..., 3.046518 , 3.4691026,\n",
" 3.4691026],\n",
" [6.6672096, 6.722429 , 6.722429 , ..., 3.0097334, 3.4434981,\n",
" 3.4434981],\n",
" [6.6672096, 6.722429 , 6.722429 , ..., 3.0097334, 3.4434981,\n",
" 3.4434981]],\n",
"\n",
" [[7.135699 , 6.666592 , 6.666592 , ..., 2.082153 , 2.2473345,\n",
" 2.2473345],\n",
" [4.925214 , 4.643635 , 4.643635 , ..., 1.9681166, 2.160664 ,\n",
" 2.160664 ],\n",
" [4.925214 , 4.643635 , 4.643635 , ..., 1.9681166, 2.160664 ,\n",
" 2.160664 ],\n",
" ...,\n",
" [5.64653 , 5.4903007, 5.4903007, ..., 3.1041274, 3.5307505,\n",
" 3.5307505],\n",
" [6.710077 , 6.764541 , 6.764541 , ..., 3.0726874, 3.5059867,\n",
" 3.5059867],\n",
" [6.710077 , 6.764541 , 6.764541 , ..., 3.0726874, 3.5059867,\n",
" 3.5059867]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>incident</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>60.61 60.73 60.73 ... 47.49 47.49</div><input id='attrs-40c80bb8-688f-4692-8bf2-b2617f1b5e71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40c80bb8-688f-4692-8bf2-b2617f1b5e71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74d54db5-00df-4127-bc2b-cfa0fd19907a' class='xr-var-data-in' type='checkbox'><label for='data-74d54db5-00df-4127-bc2b-cfa0fd19907a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[60.605724, 60.7298 , 60.7298 , ..., 56.343197, 56.211765,\n",
" 56.211765],\n",
" [58.61745 , 59.29856 , 59.29856 , ..., 56.31877 , 56.087345,\n",
" 56.087345],\n",
" [58.61745 , 59.29856 , 59.29856 , ..., 56.31877 , 56.087345,\n",
" 56.087345],\n",
" ...,\n",
" [54.25139 , 53.68512 , 53.68512 , ..., 56.60375 , 56.293167,\n",
" 56.293167],\n",
" [49.53901 , 49.467094, 49.467094, ..., 56.142574, 56.20053 ,\n",
" 56.20053 ],\n",
" [49.53901 , 49.467094, 49.467094, ..., 56.142574, 56.20053 ,\n",
" 56.20053 ]],\n",
"\n",
" [[58.973972, 59.10554 , 59.10554 , ..., 54.750816, 54.61721 ,\n",
" 54.61721 ],\n",
" [56.998768, 57.689655, 57.689655, ..., 54.727814, 54.493877,\n",
" 54.493877],\n",
" [56.998768, 57.689655, 57.689655, ..., 54.727814, 54.493877,\n",
" 54.493877],\n",
"...\n",
" [47.30976 , 46.761803, 46.761803, ..., 49.775574, 49.442013,\n",
" 49.442013],\n",
" [42.80999 , 42.74367 , 42.74367 , ..., 49.314648, 49.35055 ,\n",
" 49.35055 ],\n",
" [42.80999 , 42.74367 , 42.74367 , ..., 49.314648, 49.35055 ,\n",
" 49.35055 ]],\n",
"\n",
" [[51.771175, 51.935448, 51.935448, ..., 47.730236, 47.58701 ,\n",
" 47.58701 ],\n",
" [49.856075, 50.58954 , 50.58954 , ..., 47.71374 , 47.46884 ,\n",
" 47.46884 ],\n",
" [49.856075, 50.58954 , 50.58954 , ..., 47.71374 , 47.46884 ,\n",
" 47.46884 ],\n",
" ...,\n",
" [45.42752 , 44.884758, 44.884758, ..., 47.923355, 47.58364 ,\n",
" 47.58364 ],\n",
" [40.98971 , 40.925045, 40.925045, ..., 47.46271 , 47.492542,\n",
" 47.492542],\n",
" [40.98971 , 40.925045, 40.925045, ..., 47.46271 , 47.492542,\n",
" 47.492542]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>relative_azimuth</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>245.2 245.2 245.2 ... 241.5 241.5</div><input id='attrs-cd12d2db-9d3d-4126-ba0a-e1ed6487c75f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd12d2db-9d3d-4126-ba0a-e1ed6487c75f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ec8aaa8-45b2-4d82-a82f-0390b12e6715' class='xr-var-data-in' type='checkbox'><label for='data-9ec8aaa8-45b2-4d82-a82f-0390b12e6715' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[245.23027, 245.2305 , 245.2305 , ..., 245.25061, 245.25084,\n",
" 245.25084],\n",
" [245.23038, 245.23059, 245.23059, ..., 245.25069, 245.25092,\n",
" 245.25092],\n",
" [245.23038, 245.23059, 245.23059, ..., 245.25069, 245.25092,\n",
" 245.25092],\n",
" ...,\n",
" [245.23549, 245.23572, 245.23572, ..., 245.2558 , 245.25603,\n",
" 245.25603],\n",
" [245.2356 , 245.2358 , 245.2358 , ..., 245.2559 , 245.25613,\n",
" 245.25613],\n",
" [245.2356 , 245.2358 , 245.2358 , ..., 245.2559 , 245.25613,\n",
" 245.25613]],\n",
"\n",
" [[244.55356, 244.5538 , 244.5538 , ..., 244.57437, 244.57462,\n",
" 244.57462],\n",
" [244.55368, 244.55391, 244.55391, ..., 244.57448, 244.57472,\n",
" 244.57472],\n",
" [244.55368, 244.55391, 244.55391, ..., 244.57448, 244.57472,\n",
" 244.57472],\n",
"...\n",
" [242.29414, 242.2944 , 242.2944 , ..., 242.31667, 242.31693,\n",
" 242.31693],\n",
" [242.29428, 242.2945 , 242.2945 , ..., 242.3168 , 242.31705,\n",
" 242.31705],\n",
" [242.29428, 242.2945 , 242.2945 , ..., 242.3168 , 242.31705,\n",
" 242.31705]],\n",
"\n",
" [[241.47458, 241.47485, 241.47485, ..., 241.49776, 241.49802,\n",
" 241.49802],\n",
" [241.47473, 241.47496, 241.47496, ..., 241.4979 , 241.49815,\n",
" 241.49815],\n",
" [241.47473, 241.47496, 241.47496, ..., 241.4979 , 241.49815,\n",
" 241.49815],\n",
" ...,\n",
" [241.48177, 241.48203, 241.48203, ..., 241.50497, 241.50519,\n",
" 241.50519],\n",
" [241.4819 , 241.48216, 241.48216, ..., 241.50508, 241.50534,\n",
" 241.50534],\n",
" [241.4819 , 241.48216, 241.48216, ..., 241.50508, 241.50534,\n",
" 241.50534]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>relative_slope</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.05 -44.44 ... -91.98 -91.98</div><input id='attrs-6911c99b-8cbc-4dd7-aed9-11ac86f92300' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6911c99b-8cbc-4dd7-aed9-11ac86f92300' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c09b018-10d4-40c5-8b17-0b945461587e' class='xr-var-data-in' type='checkbox'><label for='data-8c09b018-10d4-40c5-8b17-0b945461587e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ -49.053223, -44.440857, -44.440857, ..., -83.68991 ,\n",
" -87.449036, -87.449036],\n",
" [ -57.74568 , -45.218895, -45.218895, ..., -84.12686 ,\n",
" -90.74301 , -90.74301 ],\n",
" [ -57.74568 , -45.218895, -45.218895, ..., -84.12686 ,\n",
" -90.74301 , -90.74301 ],\n",
" ...,\n",
" [-107.41409 , -114.568695, -114.568695, ..., -80.664474,\n",
" -86.616486, -86.616486],\n",
" [-168.37036 , -169.2629 , -169.2629 , ..., -89.256355,\n",
" -88.13374 , -88.13374 ],\n",
" [-168.37036 , -169.2629 , -169.2629 , ..., -89.256355,\n",
" -88.13374 , -88.13374 ]],\n",
"\n",
" [[ -49.56534 , -44.976574, -44.976574, ..., -84.33014 ,\n",
" -88.09781 , -88.09781 ],\n",
" [ -58.306057, -45.799026, -45.799026, ..., -84.767944,\n",
" -91.40112 , -91.40112 ],\n",
" [ -58.306057, -45.799026, -45.799026, ..., -84.767944,\n",
" -91.40112 , -91.40112 ],\n",
"...\n",
" [-109.943596, -117.258316, -117.258316, ..., -83.11525 ,\n",
" -89.12642 , -89.12642 ],\n",
" [-172.33145 , -173.24901 , -173.24901 , ..., -91.834526,\n",
" -90.666885, -90.666885],\n",
" [-172.33145 , -173.24901 , -173.24901 , ..., -91.834526,\n",
" -90.666885, -90.666885]],\n",
"\n",
" [[ -52.195774, -47.76594 , -47.76594 , ..., -88.044464,\n",
" -91.709045, -91.709045],\n",
" [ -61.32578 , -49.01397 , -49.01397 , ..., -88.52643 ,\n",
" -95.01132 , -95.01132 ],\n",
" [ -61.32578 , -49.01397 , -49.01397 , ..., -88.52643 ,\n",
" -95.01132 , -95.01132 ],\n",
" ...,\n",
" [-110.72089 , -117.98169 , -117.98169 , ..., -84.66554 ,\n",
" -90.4579 , -90.4579 ],\n",
" [-172.90092 , -173.82492 , -173.82492 , ..., -93.22846 ,\n",
" -91.97798 , -91.97798 ],\n",
" [-172.90092 , -173.82492 , -173.82492 , ..., -93.22846 ,\n",
" -91.97798 , -91.97798 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>satellite_azimuth</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>280.4 280.4 280.4 ... 280.4 280.4</div><input id='attrs-a494516b-2622-4203-878b-98127d3e1834' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a494516b-2622-4203-878b-98127d3e1834' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98e5da1a-ad90-4aab-99ad-65d33f962e79' class='xr-var-data-in' type='checkbox'><label for='data-98e5da1a-ad90-4aab-99ad-65d33f962e79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[280.4269 , 280.4269 , 280.4269 , ..., 280.4265 , 280.4265 ,\n",
" 280.4265 ],\n",
" [280.42694, 280.42694, 280.42694, ..., 280.4265 , 280.4265 ,\n",
" 280.4265 ],\n",
" [280.42694, 280.42694, 280.42694, ..., 280.4265 , 280.4265 ,\n",
" 280.4265 ],\n",
" ...,\n",
" [280.4281 , 280.4281 , 280.4281 , ..., 280.42767, 280.42767,\n",
" 280.42767],\n",
" [280.42813, 280.4281 , 280.4281 , ..., 280.4277 , 280.4277 ,\n",
" 280.4277 ],\n",
" [280.42813, 280.4281 , 280.4281 , ..., 280.4277 , 280.4277 ,\n",
" 280.4277 ]],\n",
"\n",
" [[280.42694, 280.42694, 280.42694, ..., 280.4265 , 280.4265 ,\n",
" 280.4265 ],\n",
" [280.42697, 280.42697, 280.42697, ..., 280.42654, 280.42654,\n",
" 280.42654],\n",
" [280.42697, 280.42697, 280.42697, ..., 280.42654, 280.42654,\n",
" 280.42654],\n",
"...\n",
" [280.42825, 280.42825, 280.42825, ..., 280.42783, 280.42783,\n",
" 280.42783],\n",
" [280.42828, 280.42825, 280.42825, ..., 280.42786, 280.42786,\n",
" 280.42786],\n",
" [280.42828, 280.42825, 280.42825, ..., 280.42786, 280.42786,\n",
" 280.42786]],\n",
"\n",
" [[280.42685, 280.42685, 280.42685, ..., 280.42642, 280.42642,\n",
" 280.42642],\n",
" [280.42688, 280.42685, 280.42685, ..., 280.42645, 280.42645,\n",
" 280.42645],\n",
" [280.42688, 280.42685, 280.42685, ..., 280.42645, 280.42645,\n",
" 280.42645],\n",
" ...,\n",
" [280.428 , 280.428 , 280.428 , ..., 280.4276 , 280.42758,\n",
" 280.42758],\n",
" [280.42804, 280.42804, 280.42804, ..., 280.4276 , 280.4276 ,\n",
" 280.4276 ],\n",
" [280.42804, 280.42804, 280.42804, ..., 280.4276 , 280.4276 ,\n",
" 280.4276 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>satellite_view</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.809 3.81 3.81 ... 3.982 3.982</div><input id='attrs-849a5228-e55c-4e8d-89a2-defae32e2d2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-849a5228-e55c-4e8d-89a2-defae32e2d2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d32d69f3-1911-45fa-a85d-f62a64a9b4a6' class='xr-var-data-in' type='checkbox'><label for='data-d32d69f3-1911-45fa-a85d-f62a64a9b4a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[3.8089683, 3.810391 , 3.810391 , ..., 3.9384184, 3.9398406,\n",
" 3.9398406],\n",
" [3.8093 , 3.8107226, 3.8107226, ..., 3.9387498, 3.940172 ,\n",
" 3.940172 ],\n",
" [3.8093 , 3.8107226, 3.8107226, ..., 3.9387498, 3.940172 ,\n",
" 3.940172 ],\n",
" ...,\n",
" [3.827207 , 3.8286297, 3.8286297, ..., 3.9566514, 3.9580736,\n",
" 3.9580736],\n",
" [3.8275387, 3.8289614, 3.8289614, ..., 3.9569829, 3.958405 ,\n",
" 3.958405 ],\n",
" [3.8275387, 3.8289614, 3.8289614, ..., 3.9569829, 3.958405 ,\n",
" 3.958405 ]],\n",
"\n",
" [[3.8034074, 3.8048303, 3.8048303, ..., 3.9328594, 3.9342816,\n",
" 3.9342816],\n",
" [3.803739 , 3.805162 , 3.805162 , ..., 3.9331908, 3.9346132,\n",
" 3.9346132],\n",
" [3.803739 , 3.805162 , 3.805162 , ..., 3.9331908, 3.9346132,\n",
" 3.9346132],\n",
"...\n",
" [3.7808337, 3.7822566, 3.7822566, ..., 3.9102933, 3.9117157,\n",
" 3.9117157],\n",
" [3.7811656, 3.7825885, 3.7825885, ..., 3.910625 , 3.9120474,\n",
" 3.9120474],\n",
" [3.7811656, 3.7825885, 3.7825885, ..., 3.910625 , 3.9120474,\n",
" 3.9120474]],\n",
"\n",
" [[3.8326852, 3.8341079, 3.8341079, ..., 3.9621274, 3.9635496,\n",
" 3.9635496],\n",
" [3.8330169, 3.8344395, 3.8344395, ..., 3.9624588, 3.963881 ,\n",
" 3.963881 ],\n",
" [3.8330169, 3.8344395, 3.8344395, ..., 3.9624588, 3.963881 ,\n",
" 3.963881 ],\n",
" ...,\n",
" [3.8509202, 3.8523428, 3.8523428, ..., 3.9803567, 3.9817789,\n",
" 3.9817789],\n",
" [3.8512518, 3.8526745, 3.8526745, ..., 3.980688 , 3.9821103,\n",
" 3.9821103],\n",
" [3.8512518, 3.8526745, 3.8526745, ..., 3.980688 , 3.9821103,\n",
" 3.9821103]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>solar_azimuth</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>35.2 35.2 35.2 ... 38.92 38.92</div><input id='attrs-6d830c90-4a1a-4969-be1f-67d604c4294c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d830c90-4a1a-4969-be1f-67d604c4294c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-284ca550-b712-4e44-9bef-286261052c01' class='xr-var-data-in' type='checkbox'><label for='data-284ca550-b712-4e44-9bef-286261052c01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[35.196644, 35.196415, 35.196415, ..., 35.175907, 35.17568 ,\n",
" 35.17568 ],\n",
" [35.19657 , 35.196342, 35.196342, ..., 35.17583 , 35.175606,\n",
" 35.175606],\n",
" [35.19657 , 35.196342, 35.196342, ..., 35.17583 , 35.175606,\n",
" 35.175606],\n",
" ...,\n",
" [35.19261 , 35.192383, 35.192383, ..., 35.17187 , 35.171642,\n",
" 35.171642],\n",
" [35.19254 , 35.19231 , 35.19231 , ..., 35.1718 , 35.17157 ,\n",
" 35.17157 ],\n",
" [35.19254 , 35.19231 , 35.19231 , ..., 35.1718 , 35.17157 ,\n",
" 35.17157 ]],\n",
"\n",
" [[35.873375, 35.873142, 35.873142, ..., 35.85214 , 35.851906,\n",
" 35.851906],\n",
" [35.873295, 35.873062, 35.873062, ..., 35.852062, 35.851826,\n",
" 35.851826],\n",
" [35.873295, 35.873062, 35.873062, ..., 35.852062, 35.851826,\n",
" 35.851826],\n",
"...\n",
" [38.13411 , 38.133858, 38.133858, ..., 38.11116 , 38.11091 ,\n",
" 38.11091 ],\n",
" [38.13401 , 38.13376 , 38.13376 , ..., 38.11106 , 38.11081 ,\n",
" 38.11081 ],\n",
" [38.13401 , 38.13376 , 38.13376 , ..., 38.11106 , 38.11081 ,\n",
" 38.11081 ]],\n",
"\n",
" [[38.952263, 38.952003, 38.952003, ..., 38.928665, 38.928406,\n",
" 38.928406],\n",
" [38.952152, 38.951893, 38.951893, ..., 38.928555, 38.928295,\n",
" 38.928295],\n",
" [38.952152, 38.951893, 38.951893, ..., 38.928555, 38.928295,\n",
" 38.928295],\n",
" ...,\n",
" [38.946243, 38.945984, 38.945984, ..., 38.922646, 38.922386,\n",
" 38.922386],\n",
" [38.946136, 38.945877, 38.945877, ..., 38.922535, 38.922276,\n",
" 38.922276],\n",
" [38.946136, 38.945877, 38.945877, ..., 38.922535, 38.922276,\n",
" 38.922276]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>solar_zenith</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>54.42 54.42 54.42 ... 45.71 45.71</div><input id='attrs-aa755a60-dcff-4885-9e43-18a07b282bc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa755a60-dcff-4885-9e43-18a07b282bc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7968fcc0-f052-49a6-a62d-149c1de98244' class='xr-var-data-in' type='checkbox'><label for='data-7968fcc0-f052-49a6-a62d-149c1de98244' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[54.42443 , 54.424328, 54.424328, ..., 54.415077, 54.414974,\n",
" 54.414974],\n",
" [54.424576, 54.424477, 54.424477, ..., 54.415226, 54.415123,\n",
" 54.415123],\n",
" [54.424576, 54.424477, 54.424477, ..., 54.415226, 54.415123,\n",
" 54.415123],\n",
" ...,\n",
" [54.432552, 54.43245 , 54.43245 , ..., 54.423203, 54.4231 ,\n",
" 54.4231 ],\n",
" [54.4327 , 54.4326 , 54.4326 , ..., 54.42335 , 54.42325 ,\n",
" 54.42325 ],\n",
" [54.4327 , 54.4326 , 54.4326 , ..., 54.42335 , 54.42325 ,\n",
" 54.42325 ]],\n",
"\n",
" [[52.813866, 52.813763, 52.813763, ..., 52.80436 , 52.804253,\n",
" 52.804253],\n",
" [52.814014, 52.813908, 52.813908, ..., 52.804504, 52.8044 ,\n",
" 52.8044 ],\n",
" [52.814014, 52.813908, 52.813908, ..., 52.804504, 52.8044 ,\n",
" 52.8044 ],\n",
"...\n",
" [47.579945, 47.579834, 47.579834, ..., 47.569916, 47.569805,\n",
" 47.569805],\n",
" [47.580086, 47.579975, 47.579975, ..., 47.570057, 47.56995 ,\n",
" 47.56995 ],\n",
" [47.580086, 47.579975, 47.579975, ..., 47.570057, 47.56995 ,\n",
" 47.56995 ]],\n",
"\n",
" [[45.71427 , 45.71416 , 45.71416 , ..., 45.704063, 45.70395 ,\n",
" 45.70395 ],\n",
" [45.714413, 45.714302, 45.714302, ..., 45.7042 , 45.70409 ,\n",
" 45.70409 ],\n",
" [45.714413, 45.714302, 45.714302, ..., 45.7042 , 45.70409 ,\n",
" 45.70409 ],\n",
" ...,\n",
" [45.722008, 45.721897, 45.721897, ..., 45.7118 , 45.71169 ,\n",
" 45.71169 ],\n",
" [45.72215 , 45.72204 , 45.72204 , ..., 45.71194 , 45.71183 ,\n",
" 45.71183 ],\n",
" [45.72215 , 45.72204 , 45.72204 , ..., 45.71194 , 45.71183 ,\n",
" 45.71183 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>terrain_shadow</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1</div><input id='attrs-238f7cec-578b-4103-a81c-294561579f71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-238f7cec-578b-4103-a81c-294561579f71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d101f0ef-db8f-4737-81f7-e3641912e891' class='xr-var-data-in' type='checkbox'><label for='data-d101f0ef-db8f-4737-81f7-e3641912e891' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>0</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
"...\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]]], dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fmask</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>2 2 2 2 2 2 2 2 ... 3 3 3 3 3 3 3 3</div><input id='attrs-00fd8ac4-6ba3-4258-a50e-67efb11f9e2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00fd8ac4-6ba3-4258-a50e-67efb11f9e2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae6df9e1-1814-49c1-a4e2-950b769a11f3' class='xr-var-data-in' type='checkbox'><label for='data-ae6df9e1-1814-49c1-a4e2-950b769a11f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>0</dd><dt><span>flags_definition :</span></dt><dd>{&#x27;fmask&#x27;: {&#x27;bits&#x27;: [0, 1, 2, 3, 4, 5, 6, 7], &#x27;values&#x27;: {&#x27;0&#x27;: &#x27;nodata&#x27;, &#x27;1&#x27;: &#x27;valid&#x27;, &#x27;2&#x27;: &#x27;cloud&#x27;, &#x27;3&#x27;: &#x27;shadow&#x27;, &#x27;4&#x27;: &#x27;snow&#x27;, &#x27;5&#x27;: &#x27;water&#x27;}, &#x27;description&#x27;: &#x27;Fmask&#x27;}}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[2, 2, 2, ..., 1, 1, 1],\n",
" [2, 2, 2, ..., 1, 1, 1],\n",
" [2, 2, 2, ..., 1, 1, 1],\n",
" ...,\n",
" [2, 2, 2, ..., 1, 1, 1],\n",
" [2, 2, 2, ..., 1, 1, 1],\n",
" [2, 2, 2, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [5, 5, 5, ..., 1, 1, 1],\n",
" [5, 5, 5, ..., 1, 1, 1],\n",
" [5, 5, 5, ..., 1, 1, 1]],\n",
"\n",
" [[2, 2, 2, ..., 2, 2, 2],\n",
" [2, 2, 2, ..., 2, 2, 2],\n",
" [2, 2, 2, ..., 2, 2, 2],\n",
" ...,\n",
"...\n",
" ...,\n",
" [2, 2, 2, ..., 2, 2, 2],\n",
" [2, 2, 2, ..., 2, 2, 2],\n",
" [2, 2, 2, ..., 2, 2, 2]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [5, 5, 5, ..., 1, 1, 1],\n",
" [5, 5, 5, ..., 1, 1, 1],\n",
" [5, 5, 5, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 3, 3, 3],\n",
" [1, 1, 1, ..., 3, 3, 3],\n",
" [1, 1, 1, ..., 3, 3, 3],\n",
" ...,\n",
" [5, 5, 5, ..., 3, 3, 3],\n",
" [5, 5, 5, ..., 3, 3, 3],\n",
" [5, 5, 5, ..., 3, 3, 3]]], dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_contiguity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1</div><input id='attrs-a0eea745-f792-43a8-9838-299de92986c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0eea745-f792-43a8-9838-299de92986c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39d5571d-a81d-4746-b679-f906c46004c4' class='xr-var-data-in' type='checkbox'><label for='data-39d5571d-a81d-4746-b679-f906c46004c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>255</dd><dt><span>flags_definition :</span></dt><dd>{&#x27;contiguity&#x27;: {&#x27;bits&#x27;: [0, 1, 2, 3, 4, 5, 6, 7], &#x27;values&#x27;: {&#x27;0&#x27;: &#x27;not_contiguous&#x27;, &#x27;1&#x27;: &#x27;contiguous&#x27;}, &#x27;description&#x27;: &#x27;Pixel contiguity in band stack&#x27;}}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
"...\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]],\n",
"\n",
" [[1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" ...,\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1],\n",
" [1, 1, 1, ..., 1, 1, 1]]], dtype=uint8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_coastal_aerosol</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>1197 1197 1197 1197 ... 480 480 480</div><input id='attrs-a9f0df22-26a5-4d57-a744-eaedaa11efc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9f0df22-26a5-4d57-a744-eaedaa11efc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17b0dd3d-6d44-497f-96f5-9cabcb807dac' class='xr-var-data-in' type='checkbox'><label for='data-17b0dd3d-6d44-497f-96f5-9cabcb807dac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.015297, 0.067133, 0.19593, 0.357242, 0.460571, 0.511598, 0.551051, 0.587385, 0.613478, 0.650014, 0.699199, 0.74543, 0.792047, 0.862824, 0.947307, 0.993878, 1.0, 0.990178, 0.972897, 0.957042, 0.956726, 0.922389, 0.723933, 0.388302, 0.14596, 0.051814, 0.017459, 0.000303], &#x27;wavelength&#x27;: [430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1197, 1197, 1197, ..., 457, 457, 457],\n",
" [1197, 1197, 1197, ..., 457, 457, 457],\n",
" [1197, 1197, 1197, ..., 457, 457, 457],\n",
" ...,\n",
" [1160, 1160, 1160, ..., 780, 780, 780],\n",
" [1077, 1077, 1077, ..., 771, 771, 771],\n",
" [1077, 1077, 1077, ..., 771, 771, 771]],\n",
"\n",
" [[ 533, 533, 533, ..., 404, 404, 404],\n",
" [ 533, 533, 533, ..., 404, 404, 404],\n",
" [ 533, 533, 533, ..., 404, 404, 404],\n",
" ...,\n",
" [ 456, 456, 456, ..., 697, 697, 697],\n",
" [ 468, 468, 468, ..., 709, 709, 709],\n",
" [ 468, 468, 468, ..., 709, 709, 709]],\n",
"\n",
" [[1096, 1096, 1096, ..., 4063, 4063, 4063],\n",
" [1096, 1096, 1096, ..., 4063, 4063, 4063],\n",
" [1096, 1096, 1096, ..., 4063, 4063, 4063],\n",
" ...,\n",
"...\n",
" ...,\n",
" [4406, 4406, 4406, ..., 3402, 3402, 3402],\n",
" [4325, 4325, 4325, ..., 3312, 3312, 3312],\n",
" [4325, 4325, 4325, ..., 3312, 3312, 3312]],\n",
"\n",
" [[ 494, 494, 494, ..., 421, 421, 421],\n",
" [ 494, 494, 494, ..., 421, 421, 421],\n",
" [ 494, 494, 494, ..., 421, 421, 421],\n",
" ...,\n",
" [ 415, 415, 415, ..., 721, 721, 721],\n",
" [ 406, 406, 406, ..., 693, 693, 693],\n",
" [ 406, 406, 406, ..., 693, 693, 693]],\n",
"\n",
" [[ 758, 758, 758, ..., 485, 485, 485],\n",
" [ 758, 758, 758, ..., 485, 485, 485],\n",
" [ 758, 758, 758, ..., 485, 485, 485],\n",
" ...,\n",
" [ 617, 617, 617, ..., 463, 463, 463],\n",
" [ 585, 585, 585, ..., 480, 480, 480],\n",
" [ 585, 585, 585, ..., 480, 480, 480]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_blue</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>786 843 862 892 ... 400 393 387 385</div><input id='attrs-ce02ec08-9dbd-4163-aa88-398b871666d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce02ec08-9dbd-4163-aa88-398b871666d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-437e622b-7fef-4755-b45f-c81eb430bb76' class='xr-var-data-in' type='checkbox'><label for='data-437e622b-7fef-4755-b45f-c81eb430bb76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.001206, 0.00204, 0.002623, 0.002738, 0.002746, 0.002076, 0.003246, 0.002224, 0.002789, 0.003127, 0.002377, 0.003776, 0.002856, 0.003063, 0.00607, 0.009028, 0.019547, 0.038955, 0.084088, 0.176255, 0.292197, 0.364612, 0.382418, 0.385789, 0.393447, 0.400158, 0.410291, 0.424686, 0.449286, 0.481594, 0.505323, 0.523406, 0.529543, 0.534688, 0.533786, 0.534656, 0.5381, 0.543691, 0.557717, 0.578585, 0.601967, 0.616037, 0.621092, 0.613597, 0.596062, 0.575863, 0.558063, 0.546131, 0.542099, 0.553602, 0.571684, 0.598269, 0.633236, 0.67337, 0.711752, 0.738396, 0.758249, 0.768325, 0.773367, 0.780468, 0.788363, 0.795449, 0.809151, 0.824011, 0.837709, 0.844983, 0.847328, 0.840111, 0.825797, 0.804778, 0.78694, 0.771578, 0.761923, 0.765487, 0.781682, 0.810031, 0.850586, 0.901671, 0.95467, 0.987257, 1.0, 0.986389, 0.908308, 0.724, 0.478913, 0.286992, 0.169976, 0.102833, 0.065163, 0.04116, 0.02508, 0.013112, 0.002585, 0.001095, 0.000308, 0.000441, 0.0, 0.0, 0.000443], &#x27;wavelength&#x27;: [440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 786, 843, 862, ..., 532, 544, 491],\n",
" [ 785, 1025, 1134, ..., 541, 545, 520],\n",
" [ 931, 1064, 1078, ..., 563, 521, 524],\n",
" ...,\n",
" [1024, 1019, 1014, ..., 870, 977, 1045],\n",
" [ 976, 1000, 993, ..., 926, 914, 1026],\n",
" [ 961, 977, 977, ..., 902, 844, 938]],\n",
"\n",
" [[ 522, 418, 355, ..., 478, 429, 448],\n",
" [ 839, 787, 620, ..., 499, 479, 444],\n",
" [ 854, 722, 510, ..., 502, 484, 466],\n",
" ...,\n",
" [ 687, 683, 677, ..., 922, 999, 931],\n",
" [ 670, 667, 641, ..., 869, 880, 941],\n",
" [ 639, 656, 632, ..., 786, 816, 925]],\n",
"\n",
" [[1162, 1378, 1526, ..., 4169, 4143, 4056],\n",
" [1104, 1234, 1332, ..., 4344, 4297, 4172],\n",
" [ 994, 1109, 1286, ..., 4381, 4292, 4133],\n",
" ...,\n",
"...\n",
" ...,\n",
" [3903, 3874, 3855, ..., 3236, 3231, 3253],\n",
" [3817, 3794, 3813, ..., 3329, 3337, 3355],\n",
" [3756, 3722, 3696, ..., 3380, 3355, 3344]],\n",
"\n",
" [[ 570, 519, 390, ..., 508, 504, 498],\n",
" [ 695, 764, 538, ..., 509, 499, 499],\n",
" [ 657, 590, 450, ..., 493, 499, 504],\n",
" ...,\n",
" [ 561, 558, 572, ..., 854, 936, 952],\n",
" [ 553, 566, 575, ..., 810, 832, 909],\n",
" [ 547, 550, 540, ..., 798, 774, 839]],\n",
"\n",
" [[ 802, 1057, 876, ..., 527, 529, 510],\n",
" [1030, 1204, 807, ..., 563, 563, 551],\n",
" [1042, 784, 854, ..., 570, 547, 544],\n",
" ...,\n",
" [ 746, 729, 739, ..., 408, 438, 438],\n",
" [ 732, 713, 732, ..., 388, 388, 437],\n",
" [ 706, 680, 687, ..., 393, 387, 385]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_green</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>891 1046 1005 921 ... 394 408 428</div><input id='attrs-65bd1c4e-1958-4c57-9baa-87ffcb85f42f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65bd1c4e-1958-4c57-9baa-87ffcb85f42f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16656ae4-d5ea-4700-84b9-dc40d9b0eef9' class='xr-var-data-in' type='checkbox'><label for='data-16656ae4-d5ea-4700-84b9-dc40d9b0eef9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.00084, 0.016372, 0.037688, 0.080665, 0.169509, 0.341374, 0.573031, 0.746711, 0.828036, 0.868228, 0.888565, 0.891572, 0.87815, 0.860271, 0.843698, 0.834035, 0.832617, 0.844968, 0.867734, 0.897361, 0.933938, 0.966923, 0.990762, 1.0, 0.997812, 0.981107, 0.947088, 0.907183, 0.868656, 0.837622, 0.81291, 0.792434, 0.7851, 0.789606, 0.807011, 0.830458, 0.846433, 0.858402, 0.85799, 0.799824, 0.62498, 0.386994, 0.200179, 0.098293, 0.042844, 0.016512], &#x27;wavelength&#x27;: [537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 891, 1046, 1005, ..., 847, 829, 795],\n",
" [ 892, 1398, 1302, ..., 803, 797, 827],\n",
" [1108, 1430, 1240, ..., 820, 825, 844],\n",
" ...,\n",
" [1306, 1306, 1295, ..., 1167, 1253, 1375],\n",
" [1300, 1279, 1292, ..., 1261, 1173, 1295],\n",
" [1238, 1236, 1278, ..., 1158, 1088, 1175]],\n",
"\n",
" [[ 597, 684, 554, ..., 721, 684, 709],\n",
" [ 968, 1108, 758, ..., 701, 702, 739],\n",
" [1036, 985, 682, ..., 718, 742, 761],\n",
" ...,\n",
" [1008, 1011, 1029, ..., 1144, 1257, 1236],\n",
" [ 996, 984, 1001, ..., 1090, 1203, 1178],\n",
" [ 953, 954, 958, ..., 1006, 1053, 1210]],\n",
"\n",
" [[1152, 1308, 1389, ..., 4466, 4480, 4395],\n",
" [1093, 1162, 1325, ..., 4531, 4546, 4426],\n",
" [ 989, 1017, 1211, ..., 4539, 4495, 4404],\n",
" ...,\n",
"...\n",
" ...,\n",
" [3895, 3891, 3895, ..., 3252, 3308, 3313],\n",
" [3812, 3808, 3825, ..., 3273, 3385, 3355],\n",
" [3753, 3720, 3737, ..., 3236, 3372, 3348]],\n",
"\n",
" [[ 662, 770, 661, ..., 785, 772, 807],\n",
" [ 926, 1066, 760, ..., 743, 785, 810],\n",
" [ 908, 763, 623, ..., 776, 826, 827],\n",
" ...,\n",
" [ 867, 839, 860, ..., 1120, 1220, 1204],\n",
" [ 842, 827, 845, ..., 1086, 1075, 1229],\n",
" [ 826, 831, 823, ..., 1006, 1034, 1145]],\n",
"\n",
" [[1147, 1420, 1047, ..., 721, 728, 762],\n",
" [1307, 1512, 1028, ..., 777, 789, 796],\n",
" [1266, 1050, 1077, ..., 809, 781, 760],\n",
" ...,\n",
" [1031, 1021, 1023, ..., 433, 441, 427],\n",
" [1013, 1008, 1010, ..., 409, 393, 438],\n",
" [ 987, 967, 973, ..., 394, 408, 428]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_red</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>986 1092 1040 995 ... 392 393 455</div><input id='attrs-66ed4e2b-ad75-49db-9437-91b78d20f305' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66ed4e2b-ad75-49db-9437-91b78d20f305' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a6100ba-99bc-46a9-904f-01d38e8ea1ab' class='xr-var-data-in' type='checkbox'><label for='data-4a6100ba-99bc-46a9-904f-01d38e8ea1ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.002584, 0.034529, 0.14997, 0.464826, 0.817746, 0.965324, 0.983869, 0.9969, 1.0, 0.995449, 0.991334, 0.977215, 0.936802, 0.873776, 0.814166, 0.776669, 0.764864, 0.775091, 0.801359, 0.830828, 0.857112, 0.883581, 0.90895, 0.934759, 0.955931, 0.96811, 0.973219, 0.971572, 0.969003, 0.965712, 0.960481, 0.944811, 0.884152, 0.706167, 0.422967, 0.189853, 0.063172, 0.020615, 0.002034], &#x27;wavelength&#x27;: [646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[ 986, 1092, 1040, ..., 1078, 1128, 991],\n",
" [1026, 1633, 1511, ..., 1050, 1090, 1028],\n",
" [1337, 1711, 1392, ..., 1114, 1085, 1098],\n",
" ...,\n",
" [1314, 1323, 1343, ..., 1409, 1606, 1671],\n",
" [1349, 1353, 1323, ..., 1489, 1435, 1546],\n",
" [1343, 1335, 1336, ..., 1434, 1322, 1437]],\n",
"\n",
" [[ 690, 732, 585, ..., 992, 907, 931],\n",
" [1135, 1313, 876, ..., 980, 985, 1017],\n",
" [1241, 1158, 791, ..., 1011, 1021, 1059],\n",
" ...,\n",
" [ 962, 929, 938, ..., 1401, 1544, 1511],\n",
" [ 934, 927, 935, ..., 1317, 1468, 1459],\n",
" [ 898, 910, 902, ..., 1219, 1284, 1452]],\n",
"\n",
" [[1127, 1252, 1367, ..., 4882, 4869, 4821],\n",
" [1089, 1153, 1259, ..., 4859, 4859, 4797],\n",
" [ 995, 1001, 1146, ..., 4778, 4800, 4739],\n",
" ...,\n",
"...\n",
" ...,\n",
" [4005, 4019, 3984, ..., 3273, 3328, 3404],\n",
" [3882, 3941, 3926, ..., 3309, 3371, 3474],\n",
" [3803, 3850, 3865, ..., 3304, 3354, 3416]],\n",
"\n",
" [[ 813, 806, 727, ..., 1083, 1067, 1060],\n",
" [1145, 1209, 940, ..., 1059, 1094, 1095],\n",
" [1178, 867, 771, ..., 1097, 1137, 1154],\n",
" ...,\n",
" [ 908, 906, 902, ..., 1408, 1519, 1526],\n",
" [ 896, 909, 882, ..., 1318, 1333, 1503],\n",
" [ 872, 879, 852, ..., 1236, 1267, 1426]],\n",
"\n",
" [[1381, 1471, 1247, ..., 998, 954, 964],\n",
" [1714, 1754, 1184, ..., 1031, 999, 1026],\n",
" [1669, 1152, 1246, ..., 1026, 987, 998],\n",
" ...,\n",
" [1066, 1051, 1061, ..., 438, 463, 482],\n",
" [1041, 1038, 1049, ..., 419, 437, 486],\n",
" [1006, 1010, 1009, ..., 392, 393, 455]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_red_edge_1</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>1472 1453 1453 1680 ... 503 539 539</div><input id='attrs-db135175-18e8-4a68-b371-327458a52d25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db135175-18e8-4a68-b371-327458a52d25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20c1389b-46c8-44f1-a816-4084d0821733' class='xr-var-data-in' type='checkbox'><label for='data-20c1389b-46c8-44f1-a816-4084d0821733' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.001187, 0.04126, 0.167712, 0.478496, 0.833878, 0.985479, 1.0, 0.999265, 0.993239, 0.982416, 0.965583, 0.945953, 0.924699, 0.902399, 0.885582, 0.861231, 0.757197, 0.521268, 0.196706, 0.036825], &#x27;wavelength&#x27;: [694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[1472, 1453, 1453, ..., 1443, 1466, 1466],\n",
" [1555, 1744, 1744, ..., 1443, 1499, 1499],\n",
" [1555, 1744, 1744, ..., 1443, 1499, 1499],\n",
" ...,\n",
" [1729, 1718, 1718, ..., 1773, 1866, 1866],\n",
" [1617, 1659, 1659, ..., 1717, 1769, 1769],\n",
" [1617, 1659, 1659, ..., 1717, 1769, 1769]],\n",
"\n",
" [[1079, 1022, 1022, ..., 1362, 1315, 1315],\n",
" [1293, 1587, 1587, ..., 1356, 1389, 1389],\n",
" [1293, 1587, 1587, ..., 1356, 1389, 1389],\n",
" ...,\n",
" [1206, 1219, 1219, ..., 1642, 1799, 1799],\n",
" [1146, 1149, 1149, ..., 1603, 1716, 1716],\n",
" [1146, 1149, 1149, ..., 1603, 1716, 1716]],\n",
"\n",
" [[1383, 1553, 1553, ..., 5379, 5356, 5356],\n",
" [1177, 1337, 1337, ..., 5282, 5293, 5293],\n",
" [1177, 1337, 1337, ..., 5282, 5293, 5293],\n",
" ...,\n",
"...\n",
" ...,\n",
" [4518, 4545, 4545, ..., 3681, 3764, 3764],\n",
" [4309, 4348, 4348, ..., 3607, 3798, 3798],\n",
" [4309, 4348, 4348, ..., 3607, 3798, 3798]],\n",
"\n",
" [[1083, 948, 948, ..., 1434, 1475, 1475],\n",
" [1346, 1384, 1384, ..., 1447, 1563, 1563],\n",
" [1346, 1384, 1384, ..., 1447, 1563, 1563],\n",
" ...,\n",
" [1157, 1129, 1129, ..., 1653, 1781, 1781],\n",
" [1050, 1066, 1066, ..., 1634, 1721, 1721],\n",
" [1050, 1066, 1066, ..., 1634, 1721, 1721]],\n",
"\n",
" [[1513, 1305, 1305, ..., 1256, 1301, 1301],\n",
" [1949, 1801, 1801, ..., 1371, 1363, 1363],\n",
" [1949, 1801, 1801, ..., 1371, 1363, 1363],\n",
" ...,\n",
" [1364, 1337, 1337, ..., 514, 543, 543],\n",
" [1252, 1256, 1256, ..., 503, 539, 539],\n",
" [1252, 1256, 1256, ..., 503, 539, 539]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_red_edge_2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>2330 2184 2184 2326 ... 646 691 691</div><input id='attrs-5479f90d-2cd0-4999-89d9-3936dedcd657' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5479f90d-2cd0-4999-89d9-3936dedcd657' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a049d2c-d694-4284-b636-c9570267a268' class='xr-var-data-in' type='checkbox'><label for='data-5a049d2c-d694-4284-b636-c9570267a268' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.005331, 0.085006, 0.345714, 0.750598, 0.920265, 0.917917, 0.934211, 0.957861, 0.975829, 0.981932, 0.981518, 0.993406, 1.0, 0.982579, 0.962584, 0.854908, 0.506722, 0.135357, 0.013438], &#x27;wavelength&#x27;: [731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[2330, 2184, 2184, ..., 2450, 2501, 2501],\n",
" [2237, 2438, 2438, ..., 2381, 2457, 2457],\n",
" [2237, 2438, 2438, ..., 2381, 2457, 2457],\n",
" ...,\n",
" [1952, 1959, 1959, ..., 2098, 2244, 2244],\n",
" [1839, 1822, 1822, ..., 2053, 2112, 2112],\n",
" [1839, 1822, 1822, ..., 2053, 2112, 2112]],\n",
"\n",
" [[1801, 1691, 1691, ..., 2271, 2323, 2323],\n",
" [1796, 2009, 2009, ..., 2177, 2354, 2354],\n",
" [1796, 2009, 2009, ..., 2177, 2354, 2354],\n",
" ...,\n",
" [ 705, 698, 698, ..., 1956, 2146, 2146],\n",
" [ 677, 680, 680, ..., 1941, 2000, 2000],\n",
" [ 677, 680, 680, ..., 1941, 2000, 2000]],\n",
"\n",
" [[1660, 1817, 1817, ..., 5897, 5828, 5828],\n",
" [1413, 1593, 1593, ..., 5705, 5745, 5745],\n",
" [1413, 1593, 1593, ..., 5705, 5745, 5745],\n",
" ...,\n",
"...\n",
" ...,\n",
" [4529, 4473, 4473, ..., 3742, 3772, 3772],\n",
" [4305, 4269, 4269, ..., 3542, 3722, 3722],\n",
" [4305, 4269, 4269, ..., 3542, 3722, 3722]],\n",
"\n",
" [[1672, 1788, 1788, ..., 2120, 2246, 2246],\n",
" [1734, 1987, 1987, ..., 2089, 2259, 2259],\n",
" [1734, 1987, 1987, ..., 2089, 2259, 2259],\n",
" ...,\n",
" [ 707, 700, 700, ..., 2015, 2156, 2156],\n",
" [ 647, 632, 632, ..., 1925, 2001, 2001],\n",
" [ 647, 632, 632, ..., 1925, 2001, 2001]],\n",
"\n",
" [[2266, 2193, 2193, ..., 1964, 2099, 2099],\n",
" [2494, 2527, 2527, ..., 2024, 2008, 2008],\n",
" [2494, 2527, 2527, ..., 2024, 2008, 2008],\n",
" ...,\n",
" [ 854, 838, 838, ..., 636, 687, 687],\n",
" [ 770, 780, 780, ..., 646, 691, 691],\n",
" [ 770, 780, 780, ..., 646, 691, 691]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_red_edge_3</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>2598 2353 2353 2430 ... 684 711 711</div><input id='attrs-512bef8b-fec7-46da-a2b4-e87b69c13cb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-512bef8b-fec7-46da-a2b4-e87b69c13cb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-247f296f-40b7-4829-81b7-cea3417ab62a' class='xr-var-data-in' type='checkbox'><label for='data-247f296f-40b7-4829-81b7-cea3417ab62a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.001595, 0.014731, 0.067032, 0.199495, 0.422803, 0.694015, 0.898494, 0.983173, 0.994759, 1.0, 0.994913, 0.964657, 0.908117, 0.846898, 0.802091, 0.778839, 0.777241, 0.789523, 0.800984, 0.802916, 0.791711, 0.757695, 0.677951, 0.536855, 0.364033, 0.193498, 0.077219, 0.019707, 0.003152], &#x27;wavelength&#x27;: [769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[2598, 2353, 2353, ..., 2820, 2735, 2735],\n",
" [2645, 2464, 2464, ..., 2726, 2675, 2675],\n",
" [2645, 2464, 2464, ..., 2726, 2675, 2675],\n",
" ...,\n",
" [2082, 2066, 2066, ..., 2200, 2313, 2313],\n",
" [1892, 1879, 1879, ..., 2160, 2246, 2246],\n",
" [1892, 1879, 1879, ..., 2160, 2246, 2246]],\n",
"\n",
" [[1977, 1803, 1803, ..., 2565, 2572, 2572],\n",
" [1972, 2078, 2078, ..., 2475, 2541, 2541],\n",
" [1972, 2078, 2078, ..., 2475, 2541, 2541],\n",
" ...,\n",
" [ 682, 675, 675, ..., 2041, 2265, 2265],\n",
" [ 643, 664, 664, ..., 2045, 2129, 2129],\n",
" [ 643, 664, 664, ..., 2045, 2129, 2129]],\n",
"\n",
" [[1656, 1793, 1793, ..., 5768, 5738, 5738],\n",
" [1461, 1546, 1546, ..., 5559, 5616, 5616],\n",
" [1461, 1546, 1546, ..., 5559, 5616, 5616],\n",
" ...,\n",
"...\n",
" ...,\n",
" [4410, 4354, 4354, ..., 3574, 3601, 3601],\n",
" [4164, 4131, 4131, ..., 3310, 3523, 3523],\n",
" [4164, 4131, 4131, ..., 3310, 3523, 3523]],\n",
"\n",
" [[1808, 1841, 1841, ..., 2325, 2432, 2432],\n",
" [1929, 1956, 1956, ..., 2267, 2451, 2451],\n",
" [1929, 1956, 1956, ..., 2267, 2451, 2451],\n",
" ...,\n",
" [ 672, 666, 666, ..., 2046, 2259, 2259],\n",
" [ 650, 611, 611, ..., 2056, 2095, 2095],\n",
" [ 650, 611, 611, ..., 2056, 2095, 2095]],\n",
"\n",
" [[2346, 2512, 2512, ..., 2207, 2262, 2262],\n",
" [2624, 2863, 2863, ..., 2238, 2176, 2176],\n",
" [2624, 2863, 2863, ..., 2238, 2176, 2176],\n",
" ...,\n",
" [ 861, 834, 834, ..., 658, 708, 708],\n",
" [ 760, 739, 739, ..., 684, 711, 711],\n",
" [ 760, 739, 739, ..., 684, 711, 711]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_nir_1</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>2399 2320 2354 2389 ... 716 708 749</div><input id='attrs-2151ed0b-4b0b-485a-86bb-33fcd9fce579' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2151ed0b-4b0b-485a-86bb-33fcd9fce579' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9316b5fe-dd43-4176-8fd0-9e5440b336b8' class='xr-var-data-in' type='checkbox'><label for='data-9316b5fe-dd43-4176-8fd0-9e5440b336b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.000451, 0.007614, 0.019072, 0.033498, 0.056536, 0.087148, 0.13246, 0.203436, 0.314068, 0.450085, 0.587433, 0.714518, 0.81829, 0.902932, 0.960732, 0.993723, 1.0, 0.985213, 0.958376, 0.93655, 0.925816, 0.930376, 0.941281, 0.953344, 0.962183, 0.965631, 0.963105, 0.959009, 0.951205, 0.945147, 0.943136, 0.945814, 0.945357, 0.943762, 0.937084, 0.92789, 0.915897, 0.900979, 0.881577, 0.86216, 0.8432, 0.822684, 0.801819, 0.776911, 0.755632, 0.737893, 0.722217, 0.708669, 0.698416, 0.690211, 0.682257, 0.681494, 0.682649, 0.678491, 0.67595, 0.671304, 0.665538, 0.660812, 0.658739, 0.65831, 0.66407, 0.672731, 0.685501, 0.701159, 0.720686, 0.742292, 0.75953, 0.776608, 0.784061, 0.78772, 0.787693, 0.783525, 0.776161, 0.768339, 0.759264, 0.745943, 0.733022, 0.720589, 0.706663, 0.69087, 0.675896, 0.661558, 0.649339, 0.638008, 0.627424, 0.618963, 0.610945, 0.604322, 0.597408, 0.591724, 0.586961, 0.582746, 0.581202, 0.57948, 0.580197, 0.582505, 0.585308, 0.589481, 0.592827, 0.596749, 0.601372, 0.603234, 0.605476, 0.608972, 0.613463, 0.618715, 0.626841, 0.637436, 0.648791, 0.659233, 0.66734, 0.668624, 0.659924, 0.641666, 0.615841, 0.583567, 0.552076, 0.526407, 0.507116, 0.49653, 0.499119, 0.512088, 0.529093, 0.542739, 0.537964, 0.495953, 0.419305, 0.326791, 0.231085, 0.14854, 0.089683, 0.054977, 0.033246, 0.019774, 0.007848, 0.001286], &#x27;wavelength&#x27;: [773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[2399, 2320, 2354, ..., 2901, 2819, 2895],\n",
" [2381, 2834, 2734, ..., 2735, 2763, 2948],\n",
" [2600, 2854, 2723, ..., 2835, 2886, 2963],\n",
" ...,\n",
" [1735, 1754, 1818, ..., 2311, 2490, 2618],\n",
" [1758, 1774, 1844, ..., 2400, 2377, 2523],\n",
" [1759, 1757, 1790, ..., 2346, 2312, 2432]],\n",
"\n",
" [[1752, 1722, 1754, ..., 2641, 2712, 2789],\n",
" [2565, 2410, 2072, ..., 2557, 2701, 2812],\n",
" [2524, 2327, 2064, ..., 2616, 2755, 2786],\n",
" ...,\n",
" [ 590, 593, 608, ..., 2246, 2457, 2487],\n",
" [ 555, 577, 594, ..., 2229, 2309, 2437],\n",
" [ 562, 573, 594, ..., 2140, 2231, 2399]],\n",
"\n",
" [[1945, 2135, 2273, ..., 6127, 6078, 5999],\n",
" [1868, 2001, 2145, ..., 6170, 6122, 6045],\n",
" [1732, 1832, 2030, ..., 6162, 6142, 6043],\n",
" ...,\n",
"...\n",
" ...,\n",
" [4561, 4557, 4568, ..., 4066, 4072, 4051],\n",
" [4493, 4504, 4461, ..., 4131, 4179, 4093],\n",
" [4357, 4409, 4390, ..., 4126, 4194, 4102]],\n",
"\n",
" [[2100, 1875, 1726, ..., 2470, 2584, 2717],\n",
" [2334, 2191, 2016, ..., 2367, 2565, 2711],\n",
" [2204, 2095, 1881, ..., 2418, 2618, 2687],\n",
" ...,\n",
" [ 582, 573, 554, ..., 2226, 2500, 2532],\n",
" [ 549, 550, 544, ..., 2210, 2274, 2478],\n",
" [ 535, 546, 544, ..., 2149, 2236, 2371]],\n",
"\n",
" [[2870, 2952, 2687, ..., 2163, 2333, 2528],\n",
" [3194, 3167, 2719, ..., 2307, 2482, 2629],\n",
" [2905, 2682, 2739, ..., 2493, 2488, 2515],\n",
" ...,\n",
" [ 731, 724, 713, ..., 693, 732, 758],\n",
" [ 694, 685, 710, ..., 685, 707, 755],\n",
" [ 703, 695, 719, ..., 716, 708, 749]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_nir_2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>3097 2856 2856 2724 ... 742 802 802</div><input id='attrs-1845d9dc-ae06-4e6d-9cd3-25134584c32d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1845d9dc-ae06-4e6d-9cd3-25134584c32d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb1d6c6b-8ffb-4ea4-b0e1-0fa8ba007fe5' class='xr-var-data-in' type='checkbox'><label for='data-eb1d6c6b-8ffb-4ea4-b0e1-0fa8ba007fe5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.001651, 0.013242, 0.02471, 0.051379, 0.104944, 0.216577, 0.384865, 0.585731, 0.774481, 0.87843, 0.914944, 0.922574, 0.926043, 0.929676, 0.935962, 0.946583, 0.955792, 0.965458, 0.974461, 0.97988, 0.983325, 0.982881, 0.988474, 1.0, 0.999626, 0.921005, 0.728632, 0.472189, 0.238082, 0.106955, 0.046096, 0.022226, 0.008819, 0.000455], &#x27;wavelength&#x27;: [848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[3097, 2856, 2856, ..., 3145, 3181, 3181],\n",
" [3078, 3060, 3060, ..., 3066, 3152, 3152],\n",
" [3078, 3060, 3060, ..., 3066, 3152, 3152],\n",
" ...,\n",
" [2213, 2207, 2207, ..., 2491, 2666, 2666],\n",
" [2020, 1971, 1971, ..., 2447, 2561, 2561],\n",
" [2020, 1971, 1971, ..., 2447, 2561, 2561]],\n",
"\n",
" [[2131, 2214, 2214, ..., 2921, 2897, 2897],\n",
" [2238, 2276, 2276, ..., 2808, 2863, 2863],\n",
" [2238, 2276, 2276, ..., 2808, 2863, 2863],\n",
" ...,\n",
" [ 479, 514, 514, ..., 2364, 2561, 2561],\n",
" [ 433, 414, 414, ..., 2327, 2369, 2369],\n",
" [ 433, 414, 414, ..., 2327, 2369, 2369]],\n",
"\n",
" [[1738, 1897, 1897, ..., 6078, 6019, 6019],\n",
" [1527, 1661, 1661, ..., 5874, 5919, 5919],\n",
" [1527, 1661, 1661, ..., 5874, 5919, 5919],\n",
" ...,\n",
"...\n",
" ...,\n",
" [4494, 4446, 4446, ..., 3591, 3612, 3612],\n",
" [4270, 4196, 4196, ..., 3442, 3466, 3466],\n",
" [4270, 4196, 4196, ..., 3442, 3466, 3466]],\n",
"\n",
" [[2016, 2129, 2129, ..., 2675, 2790, 2790],\n",
" [2114, 2358, 2358, ..., 2627, 2772, 2772],\n",
" [2114, 2358, 2358, ..., 2627, 2772, 2772],\n",
" ...,\n",
" [ 446, 440, 440, ..., 2338, 2569, 2569],\n",
" [ 401, 381, 381, ..., 2339, 2410, 2410],\n",
" [ 401, 381, 381, ..., 2339, 2410, 2410]],\n",
"\n",
" [[2753, 2633, 2633, ..., 2487, 2553, 2553],\n",
" [3051, 3046, 3046, ..., 2510, 2418, 2418],\n",
" [3051, 3046, 3046, ..., 2510, 2418, 2418],\n",
" ...,\n",
" [ 596, 553, 553, ..., 716, 771, 771],\n",
" [ 510, 529, 529, ..., 742, 802, 802],\n",
" [ 510, 529, 529, ..., 742, 802, 802]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_swir_2</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>2928 2561 2561 2760 ... 872 886 886</div><input id='attrs-bbc01083-05a8-4b2d-9ca6-43f24dd8ae1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbc01083-05a8-4b2d-9ca6-43f24dd8ae1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b4d923e-976b-4a5f-9e6b-194d25e98442' class='xr-var-data-in' type='checkbox'><label for='data-4b4d923e-976b-4a5f-9e6b-194d25e98442' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [7e-06, 7e-06, 8e-06, 2.8e-05, 3.8e-05, 9.1e-05, 0.000147, 0.000251, 0.00048, 0.00057, 0.000662, 0.000911, 0.001166, 0.001684, 0.002458, 0.003567, 0.005345, 0.008318, 0.012628, 0.018996, 0.027781, 0.039584, 0.054865, 0.07493, 0.10107, 0.135476, 0.182597, 0.247276, 0.330736, 0.429691, 0.537634, 0.647173, 0.743528, 0.815215, 0.859202, 0.879669, 0.88703, 0.889098, 0.891417, 0.897586, 0.906631, 0.916528, 0.926579, 0.935322, 0.942394, 0.947507, 0.951416, 0.954254, 0.956429, 0.958205, 0.960688, 0.96348, 0.965797, 0.96818, 0.971012, 0.97338, 0.975915, 0.978581, 0.979878, 0.980589, 0.980912, 0.981412, 0.981244, 0.980705, 0.980377, 0.981066, 0.982736, 0.985122, 0.987807, 0.990376, 0.992016, 0.993288, 0.992536, 0.990405, 0.987128, 0.983502, 0.980023, 0.976174, 0.972568, 0.969828, 0.967709, 0.966371, 0.965849, 0.96605, 0.967427, 0.96987, 0.973463, 0.978683, 0.983472, 0.987635, 0.991875, 0.995476, 0.997586, 0.998568, 0.999328, 0.999234, 0.998804, 0.999111, 0.99973, 0.999745, 1.0, 0.999814, 0.996693, 0.99162, 0.985702, 0.978569, 0.969903, 0.960896, 0.953287, 0.946546, 0.941712, 0.938586, 0.935489, 0.928114, 0.912102, 0.880598, 0.82498, 0.743118, 0.641891, 0.534002, 0.426963, 0.32371, 0.234284, 0.163972, 0.110211, 0.072478, 0.046194, 0.029401, 0.019359, 0.013308, 0.009317, 0.006523, 0.004864, 0.003409, 0.002491, 0.001958, 0.001423, 0.001055, 0.000498, 0.000228, 0.000159, 3.4e-05, 4.5e-05, 1.3e-05], &#x27;wavelength&#x27;: [1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, 1682]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[2928, 2561, 2561, ..., 3284, 3287, 3287],\n",
" [3008, 2995, 2995, ..., 3320, 3320, 3320],\n",
" [3008, 2995, 2995, ..., 3320, 3320, 3320],\n",
" ...,\n",
" [2438, 2469, 2469, ..., 3582, 3625, 3625],\n",
" [2306, 2320, 2320, ..., 3528, 3584, 3584],\n",
" [2306, 2320, 2320, ..., 3528, 3584, 3584]],\n",
"\n",
" [[2084, 1965, 1965, ..., 2997, 2932, 2932],\n",
" [2387, 2741, 2741, ..., 3035, 3039, 3039],\n",
" [2387, 2741, 2741, ..., 3035, 3039, 3039],\n",
" ...,\n",
" [ 197, 177, 177, ..., 3239, 3205, 3205],\n",
" [ 159, 160, 160, ..., 3217, 3168, 3168],\n",
" [ 159, 160, 160, ..., 3217, 3168, 3168]],\n",
"\n",
" [[1893, 2066, 2066, ..., 5802, 5666, 5666],\n",
" [1709, 1849, 1849, ..., 5621, 5552, 5552],\n",
" [1709, 1849, 1849, ..., 5621, 5552, 5552],\n",
" ...,\n",
"...\n",
" ...,\n",
" [2351, 2329, 2329, ..., 2455, 2491, 2491],\n",
" [2238, 2227, 2227, ..., 2332, 2422, 2422],\n",
" [2238, 2227, 2227, ..., 2332, 2422, 2422]],\n",
"\n",
" [[2147, 1860, 1860, ..., 2990, 2981, 2981],\n",
" [2386, 2370, 2370, ..., 3075, 3108, 3108],\n",
" [2386, 2370, 2370, ..., 3075, 3108, 3108],\n",
" ...,\n",
" [ 133, 128, 128, ..., 3291, 3343, 3343],\n",
" [ 121, 108, 108, ..., 3273, 3294, 3294],\n",
" [ 121, 108, 108, ..., 3273, 3294, 3294]],\n",
"\n",
" [[2783, 2756, 2756, ..., 2350, 2391, 2391],\n",
" [3410, 3719, 3719, ..., 2587, 2489, 2489],\n",
" [3410, 3719, 3719, ..., 2587, 2489, 2489],\n",
" ...,\n",
" [ 269, 250, 250, ..., 854, 867, 867],\n",
" [ 213, 223, 223, ..., 872, 886, 886],\n",
" [ 213, 223, 223, ..., 872, 886, 886]]], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbart_swir_3</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>2869 2273 2273 2156 ... 677 669 669</div><input id='attrs-93548b34-1445-4517-91d0-1eeb37513c63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93548b34-1445-4517-91d0-1eeb37513c63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d73c32f-4423-4ef6-8ed5-d9836629c335' class='xr-var-data-in' type='checkbox'><label for='data-1d73c32f-4423-4ef6-8ed5-d9836629c335' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>-999</dd><dt><span>spectral_definition :</span></dt><dd>{&#x27;response&#x27;: [0.000639, 0.001023, 0.002885, 0.003997, 0.006597, 0.00766, 0.008004, 0.00854, 0.0093, 0.010002, 0.010972, 0.012089, 0.013364, 0.015017, 0.017126, 0.01978, 0.023336, 0.027668, 0.033216, 0.040217, 0.048883, 0.059642, 0.073175, 0.090535, 0.11147, 0.136903, 0.167811, 0.203461, 0.242871, 0.284898, 0.327178, 0.368404, 0.408003, 0.444778, 0.476537, 0.503107, 0.525318, 0.543352, 0.557253, 0.568634, 0.57903, 0.588684, 0.598891, 0.609981, 0.621362, 0.634283, 0.648546, 0.663707, 0.680046, 0.696165, 0.711964, 0.727011, 0.741301, 0.757405, 0.772071, 0.785581, 0.798238, 0.809677, 0.819702, 0.828599, 0.836722, 0.844443, 0.851107, 0.853252, 0.854746, 0.856174, 0.857821, 0.859532, 0.86146, 0.863257, 0.865139, 0.867319, 0.869696, 0.874302, 0.878588, 0.882439, 0.885929, 0.889473, 0.893226, 0.896696, 0.899897, 0.902596, 0.904831, 0.905525, 0.905665, 0.905503, 0.905158, 0.904783, 0.904082, 0.903347, 0.902761, 0.902377, 0.901983, 0.903424, 0.904313, 0.905315, 0.906446, 0.908092, 0.910123, 0.91295, 0.915585, 0.918444, 0.921302, 0.924337, 0.927219, 0.92974, 0.931922, 0.934142, 0.935906, 0.937086, 0.937641, 0.938301, 0.937652, 0.940441, 0.942518, 0.943259, 0.943031, 0.942117, 0.940632, 0.938428, 0.93666, 0.935256, 0.933022, 0.92688, 0.921057, 0.915483, 0.91102, 0.908293, 0.907283, 0.908191, 0.911169, 0.916189, 0.922855, 0.920605, 0.919482, 0.919489, 0.921276, 0.924526, 0.927733, 0.931974, 0.93677, 0.941483, 0.946802, 0.951203, 0.954437, 0.957047, 0.959729, 0.962539, 0.964858, 0.966042, 0.966647, 0.96631, 0.96546, 0.964841, 0.963656, 0.961698, 0.959454, 0.957327, 0.95514, 0.953558, 0.952732, 0.952181, 0.951731, 0.952146, 0.952641, 0.954057, 0.957078, 0.960639, 0.964222, 0.968307, 0.972691, 0.977423, 0.982898, 0.987144, 0.990734, 0.993983, 0.996787, 0.998753, 1.0, 0.999927, 0.999152, 0.997129, 0.993884, 0.989686, 0.983735, 0.976213, 0.967813, 0.958343, 0.94844, 0.938203, 0.927725, 0.917039, 0.905999, 0.893868, 0.881683, 0.868647, 0.854635, 0.84062, 0.826016, 0.809516, 0.791867, 0.772443, 0.749107, 0.720346, 0.688185, 0.651283, 0.61005, 0.566031, 0.52097, 0.474659, 0.429259, 0.385857, 0.342092, 0.30068, 0.263176, 0.227704, 0.195721, 0.16809, 0.14468, 0.124831, 0.108237, 0.094401, 0.082363, 0.0715, 0.062691, 0.054985, 0.048195, 0.042864, 0.038598, 0.034947, 0.031999, 0.029588, 0.027418, 0.025577, 0.023959, 0.021672, 0.019148, 0.016331, 0.010989, 0.007379, 0.006511, 0.00471, 0.002065], &#x27;wavelength&#x27;: [2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, 2160, 2161, 2162, 2163, 2164, 2165, 2166, 2167, 2168, 2169, 2170, 2171, 2172, 2173, 2174, 2175, 2176, 2177, 2178, 2179, 2180, 2181, 2182, 2183, 2184, 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310, 2311, 2312, 2313, 2314, 2315, 2316, 2317, 2318, 2319, 2320]}</dd><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>array([[[2869, 2273, 2273, ..., 2451, 2487, 2487],\n",
" [2972, 2842, 2842, ..., 2552, 2577, 2577],\n",
" [2972, 2842, 2842, ..., 2552, 2577, 2577],\n",
" ...,\n",
" [2359, 2321, 2321, ..., 2921, 2931, 2931],\n",
" [2131, 2051, 2051, ..., 2845, 2903, 2903],\n",
" [2131, 2051, 2051, ..., 2845, 2903, 2903]],\n",
"\n",
" [[1543, 1328, 1328, ..., 2299, 2268, 2268],\n",
" [1918, 1839, 1839, ..., 2417, 2419, 2419],\n",
" [1918, 1839, 1839, ..., 2417, 2419, 2419],\n",
" ...,\n",
" [ 128, 134, 134, ..., 2664, 2616, 2616],\n",
" [ 111, 114, 114, ..., 2636, 2623, 2623],\n",
" [ 111, 114, 114, ..., 2636, 2623, 2623]],\n",
"\n",
" [[1351, 1437, 1437, ..., 4673, 4655, 4655],\n",
" [1181, 1266, 1266, ..., 4395, 4470, 4470],\n",
" [1181, 1266, 1266, ..., 4395, 4470, 4470],\n",
" ...,\n",
"...\n",
" ...,\n",
" [2582, 2545, 2545, ..., 2375, 2365, 2365],\n",
" [2431, 2400, 2400, ..., 2225, 2251, 2251],\n",
" [2431, 2400, 2400, ..., 2225, 2251, 2251]],\n",
"\n",
" [[1496, 1166, 1166, ..., 2158, 2149, 2149],\n",
" [1676, 1666, 1666, ..., 2315, 2337, 2337],\n",
" [1676, 1666, 1666, ..., 2315, 2337, 2337],\n",
" ...,\n",
" [ 96, 96, 96, ..., 2698, 2690, 2690],\n",
" [ 67, 89, 89, ..., 2637, 2669, 2669],\n",
" [ 67, 89, 89, ..., 2637, 2669, 2669]],\n",
"\n",
" [[1960, 1975, 1975, ..., 1739, 1701, 1701],\n",
" [2564, 2897, 2897, ..., 1927, 1778, 1778],\n",
" [2564, 2897, 2897, ..., 1927, 1778, 1778],\n",
" ...,\n",
" [ 206, 195, 195, ..., 653, 678, 678],\n",
" [ 169, 165, 165, ..., 677, 669, 669],\n",
" [ 169, 165, 165, ..., 677, 669, 669]]], dtype=int16)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a81cf9c3-57c4-4b57-b3b4-57476ce21d76' class='xr-section-summary-in' type='checkbox' checked><label for='section-a81cf9c3-57c4-4b57-b3b4-57476ce21d76' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:7854</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (time: 6, y: 113, x: 185)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2021-08-19T00:46:27.593501 ....\n",
" * y (y) float64 6.199e+06 6.199e+06 ... 6.198e+06\n",
" * x (x) float64 4.605e+05 4.605e+05 ... 4.623e+05\n",
" spatial_ref int32 7854\n",
"Data variables: (12/24)\n",
" azimuthal_exiting (time, y, x) float32 49.07 57.61 ... 130.6 130.6\n",
" azimuthal_incident (time, y, x) float32 0.02078 13.17 ... 38.6 38.6\n",
" exiting (time, y, x) float32 7.126 6.658 ... 3.506 3.506\n",
" incident (time, y, x) float32 60.61 60.73 ... 47.49 47.49\n",
" relative_azimuth (time, y, x) float32 245.2 245.2 ... 241.5 241.5\n",
" relative_slope (time, y, x) float32 -49.05 -44.44 ... -91.98 -91.98\n",
" ... ...\n",
" nbart_red_edge_2 (time, y, x) int16 2330 2184 2184 ... 646 691 691\n",
" nbart_red_edge_3 (time, y, x) int16 2598 2353 2353 ... 684 711 711\n",
" nbart_nir_1 (time, y, x) int16 2399 2320 2354 ... 716 708 749\n",
" nbart_nir_2 (time, y, x) int16 3097 2856 2856 ... 742 802 802\n",
" nbart_swir_2 (time, y, x) int16 2928 2561 2561 ... 872 886 886\n",
" nbart_swir_3 (time, y, x) int16 2869 2273 2273 ... 677 669 669\n",
"Attributes:\n",
" crs: EPSG:7854\n",
" grid_mapping: spatial_ref"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import xarray as xr\n",
"\n",
"ds = xr.concat([dsa, dsb], dim='time').sortby('time')\n",
"\n",
"ds"
]
},
{
"cell_type": "markdown",
"id": "4dd73275-1257-4378-88da-d33be65d6d0f",
"metadata": {},
"source": [
"### Check times of available captures"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "94febed4-7170-4117-8615-e07bc778303d",
"metadata": {},
"outputs": [
{
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;time&#x27; (time: 6)&gt;\n",
"array([&#x27;2021-08-19T00:46:27.593501000&#x27;, &#x27;2021-08-24T00:46:30.141931000&#x27;,\n",
" &#x27;2021-08-29T00:46:25.694016000&#x27;, &#x27;2021-09-03T00:46:29.069382000&#x27;,\n",
" &#x27;2021-09-08T00:46:24.566743000&#x27;, &#x27;2021-09-13T00:46:28.938832000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2021-08-19T00:46:27.593501 ... 2021-09...\n",
" spatial_ref int32 7854\n",
"Attributes:\n",
" units: seconds since 1970-01-01 00:00:00</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 6</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-df8862f5-200a-4c51-a08f-07d2a54fea92' class='xr-array-in' type='checkbox' checked><label for='section-df8862f5-200a-4c51-a08f-07d2a54fea92' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2021-08-19T00:46:27.593501 ... 2021-09-13T00:46:28.938832</span></div><div class='xr-array-data'><pre>array([&#x27;2021-08-19T00:46:27.593501000&#x27;, &#x27;2021-08-24T00:46:30.141931000&#x27;,\n",
" &#x27;2021-08-29T00:46:25.694016000&#x27;, &#x27;2021-09-03T00:46:29.069382000&#x27;,\n",
" &#x27;2021-09-08T00:46:24.566743000&#x27;, &#x27;2021-09-13T00:46:28.938832000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-9273e257-f1fe-43fd-b6bf-9f1bc06ea57d' class='xr-section-summary-in' type='checkbox' checked><label for='section-9273e257-f1fe-43fd-b6bf-9f1bc06ea57d' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-08-19T00:46:27.593501 ... 2...</div><input id='attrs-7dcb7ea0-0295-47b5-914f-2657ee7d6851' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7dcb7ea0-0295-47b5-914f-2657ee7d6851' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c69021e-64f7-4337-9ce8-1853298ff71b' class='xr-var-data-in' type='checkbox'><label for='data-9c69021e-64f7-4337-9ce8-1853298ff71b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-08-19T00:46:27.593501000&#x27;, &#x27;2021-08-24T00:46:30.141931000&#x27;,\n",
" &#x27;2021-08-29T00:46:25.694016000&#x27;, &#x27;2021-09-03T00:46:29.069382000&#x27;,\n",
" &#x27;2021-09-08T00:46:24.566743000&#x27;, &#x27;2021-09-13T00:46:28.938832000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>7854</div><input id='attrs-f11d0337-d92d-4b6b-b888-5083838da04b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f11d0337-d92d-4b6b-b888-5083838da04b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0705a21b-68f1-4e7c-a248-4a59cecde01f' class='xr-var-data-in' type='checkbox'><label for='data-0705a21b-68f1-4e7c-a248-4a59cecde01f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;GDA2020 / MGA zone 54&quot;,GEOGCS[&quot;GDA2020&quot;,DATUM[&quot;Geocentric_Datum_of_Australia_2020&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;1168&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;7844&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,141],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,10000000],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;7854&quot;]]</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd></dl></div><div class='xr-var-data'><pre>array(7854, dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4a847265-49b0-4571-a926-a53296d8f391' class='xr-section-summary-in' type='checkbox' checked><label for='section-4a847265-49b0-4571-a926-a53296d8f391' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'time' (time: 6)>\n",
"array(['2021-08-19T00:46:27.593501000', '2021-08-24T00:46:30.141931000',\n",
" '2021-08-29T00:46:25.694016000', '2021-09-03T00:46:29.069382000',\n",
" '2021-09-08T00:46:24.566743000', '2021-09-13T00:46:28.938832000'],\n",
" dtype='datetime64[ns]')\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2021-08-19T00:46:27.593501 ... 2021-09...\n",
" spatial_ref int32 7854\n",
"Attributes:\n",
" units: seconds since 1970-01-01 00:00:00"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds.time"
]
},
{
"cell_type": "markdown",
"id": "55bb58ee-62f9-4100-982c-00c60446a12e",
"metadata": {},
"source": [
"### Plot all images in period as true colour RGB composites"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "4c2267e2-f100-4a60-8071-5e939820f3a3",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.plot.facetgrid.FacetGrid at 0x7f2719121f40>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1368x216 with 6 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ds[['nbart_red', 'nbart_green', 'nbart_blue']].to_array().plot.imshow(col='time')"
]
},
{
"cell_type": "markdown",
"id": "4b9c40ea-6762-4a35-9979-2484c22e67b2",
"metadata": {},
"source": [
"### Select the 2 closest images to the drone flight: 2021-08-30"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "d3c47157-a32c-4ccf-9cca-94019ad6d220",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.plot.facetgrid.FacetGrid at 0x7f271910dd60>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x576 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ds[['nbart_red', 'nbart_green', 'nbart_blue']].isel(time=[1,4]).to_array().plot.imshow(col='time', figsize=(16,8))"
]
},
{
"cell_type": "markdown",
"id": "54171234-5bd1-48f4-b676-fe869692ddc6",
"metadata": {},
"source": [
"### Save data as a NetCDF for downloading and further processing outside DEA Sandbox"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "11057c9e-ae5c-4c3e-9fcf-d3982258bf36",
"metadata": {},
"outputs": [],
"source": [
"from datacube.drivers.netcdf import write_dataset_to_netcdf\n",
"\n",
"write_dataset_to_netcdf(ds[['nbart_red', 'nbart_green', 'nbart_blue', 'nbart_nir_1', 'nbart_nir_2', 'nbart_swir_2', 'nbart_swir_3']].isel(time=[1,4]), 'drone_lignum.nc')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "693ca47a-492b-4390-b044-28b8ecff42ce",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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