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October 21, 2020 01:46
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pixel_value_extraction_gee.ipynb
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| { | |
| "cells": [ | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "import os\nimport ee\nimport geemap", | |
| "execution_count": 1, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "scrolled": false, | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "Map = geemap.Map()\nMap", | |
| "execution_count": 2, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "Map(center=[40, -100], controls=(WidgetControl(options=['position'], widget=HBox(children=(ToggleButton(value=…", | |
| "application/vnd.jupyter.widget-view+json": { | |
| "version_major": 2, | |
| "version_minor": 0, | |
| "model_id": "887b8026ba9a4abc9a0c6e9bae09b483" | |
| } | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "points = []\nwith open('pts.csv') as f:\n lines = f.readlines()\n for line in lines[1:]:\n lon = float(line.split(',')[2])\n lat = float(line.split(',')[3])\n points.append([lon, lat])", | |
| "execution_count": 3, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "ee_list = ee.List(points)", | |
| "execution_count": 4, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "ee_points = ee_list.map(lambda xy: ee.Feature(ee.Geometry.Point(xy)))", | |
| "execution_count": 5, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "roi = ee.FeatureCollection(ee_points)", | |
| "execution_count": 6, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "Map.addLayer(roi, {}, 'points')\nMap.centerObject(roi, 15)", | |
| "execution_count": 7, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "NEDelevation = ee.Image('USGS/NED')\nMap.addLayer(NEDelevation, {'min':0, 'max':4000},'NED')", | |
| "execution_count": 8, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "slope = ee.Terrain.slope(NEDelevation)\nMap.addLayer(slope,{'min':0,'max':45},'Slope')", | |
| "execution_count": 9, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "aspect = ee.Terrain.aspect(NEDelevation)\nMap.addLayer(aspect,{'min':0,'max':360},'Aspect')", | |
| "execution_count": 10, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "def maskS2clouds(image):\n qa = image.select('QA60')\n cloudBitMask = 1 << 10\n cirrusBitMask = 1 << 11\n mask = qa.bitwiseAnd(cloudBitMask).eq(0) \\\n .And(qa.bitwiseAnd(cirrusBitMask).eq(0))\n return image.updateMask(mask).divide(10000)", | |
| "execution_count": 11, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "start_year = 2016\nend_year = 2020\nstart_month = 6\nend_month = 10\n\ndate_list = []\nfor year in range(start_year, end_year):\n for month in range(start_month, end_month):\n item = str(year) + '-' + str(month).zfill(2) + '-01'\n date_list.append(item)\nprint(date_list)", | |
| "execution_count": 12, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": "['2016-06-01', '2016-07-01', '2016-08-01', '2016-09-01', '2017-06-01', '2017-07-01', '2017-08-01', '2017-09-01', '2018-06-01', '2018-07-01', '2018-08-01', '2018-09-01', '2019-06-01', '2019-07-01', '2019-08-01', '2019-09-01']\n", | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "dates = ee.List(date_list)", | |
| "execution_count": 13, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "dates.getInfo()", | |
| "execution_count": 14, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 14, | |
| "data": { | |
| "text/plain": "['2016-06-01',\n '2016-07-01',\n '2016-08-01',\n '2016-09-01',\n '2017-06-01',\n '2017-07-01',\n '2017-08-01',\n '2017-09-01',\n '2018-06-01',\n '2018-07-01',\n '2018-08-01',\n '2018-09-01',\n '2019-06-01',\n '2019-07-01',\n '2019-08-01',\n '2019-09-01']" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "def get_ndvi(start_date):\n start_date = ee.Date(start_date)\n end_date = start_date.advance(1, 'month')\n image = ee.ImageCollection('COPERNICUS/S2') \\\n .filterBounds(roi) \\\n .filterDate(start_date, end_date) \\\n .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 100)) \\\n .map(maskS2clouds) \\\n .mean() \\\n .clip(roi)\n \n monthly_image = image.expression(\n \" (VNIR - RED) / sqrt((VNIR + RED))\",\n {\n 'RED': image.select(\"B4\"), \n 'VNIR': image.select(\"B8\"), \n } \n )\n \n return monthly_image.rename(ee.String(\"ndvi_\").cat(start_date.format('YYYY-MM-dd')))\n \n# return monthly_image.normalizedDifference(['B8', 'B4']).rename(start_date.format('YYYY-MM-dd')) ", | |
| "execution_count": 15, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "ndvi_images = ee.ImageCollection(dates.map(get_ndvi))\nndvi_bands = ndvi_images.toBands() # convert imageCollection to an image", | |
| "execution_count": 16, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "ndvi_bands.bandNames().getInfo()", | |
| "execution_count": 17, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 17, | |
| "data": { | |
| "text/plain": "['0_ndvi_2016-06-01',\n '1_ndvi_2016-07-01',\n '2_ndvi_2016-08-01',\n '3_ndvi_2016-09-01',\n '4_ndvi_2017-06-01',\n '5_ndvi_2017-07-01',\n '6_ndvi_2017-08-01',\n '7_ndvi_2017-09-01',\n '8_ndvi_2018-06-01',\n '9_ndvi_2018-07-01',\n '10_ndvi_2018-08-01',\n '11_ndvi_2018-09-01',\n '12_ndvi_2019-06-01',\n '13_ndvi_2019-07-01',\n '14_ndvi_2019-08-01',\n '15_ndvi_2019-09-01']" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "Map.addLayer(ndvi_bands, {}, 'ndvi')", | |
| "execution_count": 18, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "def get_gndvi(start_date):\n start_date = ee.Date(start_date)\n end_date = start_date.advance(1, 'month')\n image = ee.ImageCollection('COPERNICUS/S2') \\\n .filterBounds(roi) \\\n .filterDate(start_date, end_date) \\\n .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 100)) \\\n .map(maskS2clouds) \\\n .mean() \\\n .clip(roi)\n \n monthly_image = image.expression(\n \" (VNIR - GREEN) / sqrt((VNIR + GREEN))\",\n {\n 'GREEN': image.select(\"B3\"), \n 'VNIR': image.select(\"B8\"), \n } \n )\n \n return monthly_image.rename(ee.String(\"gndvi_\").cat(start_date.format('YYYY-MM-dd')))\n \n# return monthly_image.normalizedDifference(['B8', 'B4']).rename(start_date.format('YYYY-MM-dd')) ", | |
| "execution_count": 19, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "gndvi_images = ee.ImageCollection(dates.map(get_gndvi))\ngndvi_bands = gndvi_images.toBands() # convert imageCollection to an image", | |
| "execution_count": 20, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "gndvi_bands.bandNames().getInfo()", | |
| "execution_count": 21, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 21, | |
| "data": { | |
| "text/plain": "['0_gndvi_2016-06-01',\n '1_gndvi_2016-07-01',\n '2_gndvi_2016-08-01',\n '3_gndvi_2016-09-01',\n '4_gndvi_2017-06-01',\n '5_gndvi_2017-07-01',\n '6_gndvi_2017-08-01',\n '7_gndvi_2017-09-01',\n '8_gndvi_2018-06-01',\n '9_gndvi_2018-07-01',\n '10_gndvi_2018-08-01',\n '11_gndvi_2018-09-01',\n '12_gndvi_2019-06-01',\n '13_gndvi_2019-07-01',\n '14_gndvi_2019-08-01',\n '15_gndvi_2019-09-01']" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "Map.addLayer(gndvi_bands, {}, 'gndvi')", | |
| "execution_count": 22, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "# Compute Optimized Soil Adjusted Vegetation Index (OSAVI)", | |
| "execution_count": 23, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "def get_osavi(start_date):\n start_date = ee.Date(start_date)\n end_date = start_date.advance(1, 'month')\n image = ee.ImageCollection('COPERNICUS/S2') \\\n .filterBounds(roi) \\\n .filterDate(start_date, end_date) \\\n .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 100)) \\\n .map(maskS2clouds) \\\n .mean() \\\n .clip(roi)\n \n monthly_image = image.expression(\n \" (1.0 + 0.16)*(VNIR - RED)/(VNIR + RED + 0.16)\",\n {\n 'RED': image.select(\"B4\"), \n 'VNIR': image.select(\"B8\"), \n } \n )\n \n return monthly_image.rename(ee.String(\"osavi_\").cat(start_date.format('YYYY-MM-dd')))\n \n# return monthly_image.normalizedDifference(['B8', 'B4']).rename(start_date.format('YYYY-MM-dd')) ", | |
| "execution_count": 24, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "osavi_images = ee.ImageCollection(dates.map(get_osavi))\nosavi_bands = osavi_images.toBands() # convert imageCollection to an image", | |
| "execution_count": 25, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "osavi_bands.bandNames().getInfo()", | |
| "execution_count": 26, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 26, | |
| "data": { | |
| "text/plain": "['0_osavi_2016-06-01',\n '1_osavi_2016-07-01',\n '2_osavi_2016-08-01',\n '3_osavi_2016-09-01',\n '4_osavi_2017-06-01',\n '5_osavi_2017-07-01',\n '6_osavi_2017-08-01',\n '7_osavi_2017-09-01',\n '8_osavi_2018-06-01',\n '9_osavi_2018-07-01',\n '10_osavi_2018-08-01',\n '11_osavi_2018-09-01',\n '12_osavi_2019-06-01',\n '13_osavi_2019-07-01',\n '14_osavi_2019-08-01',\n '15_osavi_2019-09-01']" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "Map.addLayer(ndvi_bands, {}, 'osavi')", | |
| "execution_count": 27, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "# Compute Renormalized Difference Vegetation Index (RDVI) ", | |
| "execution_count": 28, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "def get_rdvi(start_date):\n start_date = ee.Date(start_date)\n end_date = start_date.advance(1, 'month')\n image = ee.ImageCollection('COPERNICUS/S2') \\\n .filterBounds(roi) \\\n .filterDate(start_date, end_date) \\\n .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 100)) \\\n .map(maskS2clouds) \\\n .mean() \\\n .clip(roi)\n \n monthly_image = image.expression(\n \" (VNIR - RED)/sqrt(VNIR + RED)\",\n {\n 'RED': image.select(\"B4\"), \n 'VNIR': image.select(\"B8\"), \n } \n )\n \n return monthly_image.rename(ee.String(\"rdvi_\").cat(start_date.format('YYYY-MM-dd')))\n \n# return monthly_image.normalizedDifference(['B8', 'B4']).rename(start_date.format('YYYY-MM-dd')) ", | |
| "execution_count": 29, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "rdvi_images = ee.ImageCollection(dates.map(get_rdvi))\nrdvi_bands = rdvi_images.toBands() # convert imageCollection to an image", | |
| "execution_count": 30, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "rdvi_bands.bandNames().getInfo()", | |
| "execution_count": 31, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 31, | |
| "data": { | |
| "text/plain": "['0_rdvi_2016-06-01',\n '1_rdvi_2016-07-01',\n '2_rdvi_2016-08-01',\n '3_rdvi_2016-09-01',\n '4_rdvi_2017-06-01',\n '5_rdvi_2017-07-01',\n '6_rdvi_2017-08-01',\n '7_rdvi_2017-09-01',\n '8_rdvi_2018-06-01',\n '9_rdvi_2018-07-01',\n '10_rdvi_2018-08-01',\n '11_rdvi_2018-09-01',\n '12_rdvi_2019-06-01',\n '13_rdvi_2019-07-01',\n '14_rdvi_2019-08-01',\n '15_rdvi_2019-09-01']" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "Map.addLayer(ndvi_bands, {}, 'rdvi')", | |
| "execution_count": 32, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "# Compute RGB432B\n# Compute SAVI \n# Compute SCL", | |
| "execution_count": 33, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "# Compute Transformed Chlorophyll Absorbtion Ratio (TCARI) ", | |
| "execution_count": 34, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "def get_tcari(start_date):\n start_date = ee.Date(start_date)\n end_date = start_date.advance(1, 'month')\n image = ee.ImageCollection('COPERNICUS/S2') \\\n .filterBounds(roi) \\\n .filterDate(start_date, end_date) \\\n .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 100)) \\\n .map(maskS2clouds) \\\n .mean() \\\n .clip(roi)\n \n monthly_image = image.expression(\n \" 3.0*(VNIR - RED) - 0.2*(VNIR - GREEN)*(VNIR / RED)\",\n {\n 'GREEN': image.select(\"B3\"),\n 'RED': image.select(\"B4\"), \n 'VNIR': image.select(\"B8\"), \n } \n )\n \n return monthly_image.rename(ee.String(\"tcari_\").cat(start_date.format('YYYY-MM-dd')))\n \n# return monthly_image.normalizedDifference(['B8', 'B4']).rename(start_date.format('YYYY-MM-dd')) ", | |
| "execution_count": 35, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "tcari_images = ee.ImageCollection(dates.map(get_tcari))\ntcari_bands = tcari_images.toBands() # convert imageCollection to an image", | |
| "execution_count": 36, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "tcari_bands.bandNames().getInfo()", | |
| "execution_count": 37, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 37, | |
| "data": { | |
| "text/plain": "['0_tcari_2016-06-01',\n '1_tcari_2016-07-01',\n '2_tcari_2016-08-01',\n '3_tcari_2016-09-01',\n '4_tcari_2017-06-01',\n '5_tcari_2017-07-01',\n '6_tcari_2017-08-01',\n '7_tcari_2017-09-01',\n '8_tcari_2018-06-01',\n '9_tcari_2018-07-01',\n '10_tcari_2018-08-01',\n '11_tcari_2018-09-01',\n '12_tcari_2019-06-01',\n '13_tcari_2019-07-01',\n '14_tcari_2019-08-01',\n '15_tcari_2019-09-01']" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "Map.addLayer(ndvi_bands, {}, 'tcari')", | |
| "execution_count": 38, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "# Compute Triangular chlorophyll index (TCI)", | |
| "execution_count": 39, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "def get_tci(start_date):\n start_date = ee.Date(start_date)\n end_date = start_date.advance(1, 'month')\n image = ee.ImageCollection('COPERNICUS/S2') \\\n .filterBounds(roi) \\\n .filterDate(start_date, end_date) \\\n .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 100)) \\\n .map(maskS2clouds) \\\n .mean() \\\n .clip(roi)\n \n monthly_image = image.expression(\n \" 1.2*(VNIR - GREEN) - 1.5*(RED - GREEN)*sqrt(VNIR / RED)\",\n {\n 'GREEN': image.select(\"B3\"),\n 'RED': image.select(\"B4\"), \n 'VNIR': image.select(\"B8\"), \n } \n )\n \n return monthly_image.rename(ee.String(\"tci_\").cat(start_date.format('YYYY-MM-dd')))\n \n# return monthly_image.normalizedDifference(['B8', 'B4']).rename(start_date.format('YYYY-MM-dd')) ", | |
| "execution_count": 40, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "tci_images = ee.ImageCollection(dates.map(get_tci))\ntci_bands = tci_images.toBands() # convert imageCollection to an image", | |
| "execution_count": 41, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "tci_bands.bandNames().getInfo()", | |
| "execution_count": 42, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 42, | |
| "data": { | |
| "text/plain": "['0_tci_2016-06-01',\n '1_tci_2016-07-01',\n '2_tci_2016-08-01',\n '3_tci_2016-09-01',\n '4_tci_2017-06-01',\n '5_tci_2017-07-01',\n '6_tci_2017-08-01',\n '7_tci_2017-09-01',\n '8_tci_2018-06-01',\n '9_tci_2018-07-01',\n '10_tci_2018-08-01',\n '11_tci_2018-09-01',\n '12_tci_2019-06-01',\n '13_tci_2019-07-01',\n '14_tci_2019-08-01',\n '15_tci_2019-09-01']" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "Map.addLayer(ndvi_bands, {}, 'tci')", | |
| "execution_count": 43, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "# Normalized Ratio between NIR band and a SWIR (NDWI)\n# NDWI is correlated with vegetaion water content ", | |
| "execution_count": 44, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "def get_ndwi(start_date):\n start_date = ee.Date(start_date)\n end_date = start_date.advance(1, 'month')\n image = ee.ImageCollection('COPERNICUS/S2') \\\n .filterBounds(roi) \\\n .filterDate(start_date, end_date) \\\n .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 100)) \\\n .map(maskS2clouds) \\\n .mean() \\\n .clip(roi)\n \n monthly_image = image.expression(\n \" (0.842*SWIR*2.190*SWIR)/(0.842*SWIR + 2.19*SWIR)\",\n {\n 'SWIR': image.select(\"B12\"),\n } \n )\n \n return monthly_image.rename(ee.String(\"ndwi_\").cat(start_date.format('YYYY-MM-dd')))\n \n# return monthly_image.normalizedDifference(['B8', 'B4']).rename(start_date.format('YYYY-MM-dd')) ", | |
| "execution_count": 45, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "ndwi_images = ee.ImageCollection(dates.map(get_ndwi))\nndwi_bands = ndwi_images.toBands() # convert imageCollection to an image", | |
| "execution_count": 46, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "ndwi_bands.bandNames().getInfo()", | |
| "execution_count": 47, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 47, | |
| "data": { | |
| "text/plain": "['0_ndwi_2016-06-01',\n '1_ndwi_2016-07-01',\n '2_ndwi_2016-08-01',\n '3_ndwi_2016-09-01',\n '4_ndwi_2017-06-01',\n '5_ndwi_2017-07-01',\n '6_ndwi_2017-08-01',\n '7_ndwi_2017-09-01',\n '8_ndwi_2018-06-01',\n '9_ndwi_2018-07-01',\n '10_ndwi_2018-08-01',\n '11_ndwi_2018-09-01',\n '12_ndwi_2019-06-01',\n '13_ndwi_2019-07-01',\n '14_ndwi_2019-08-01',\n '15_ndwi_2019-09-01']" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "Map.addLayer(ndvi_bands, {}, 'ndwi')", | |
| "execution_count": 48, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "# Normalized Ratio between SWIR band NIR (NDBI) ", | |
| "execution_count": 49, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "#ndbi_images = ee.ImageCollection(dates.map(get_ndbi))\n#ndbi_bands = ndbi_images.toBands() # convert imageCollection to an image", | |
| "execution_count": 50, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "#ndbi_bands.bandNames().getInfo()", | |
| "execution_count": 51, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "image = NEDelevation.addBands(slope).addBands(aspect).addBands(ndvi_bands).addBands(gndvi_bands).addBands(osavi_bands).addBands(rdvi_bands).addBands(tcari_bands).addBands(tci_bands).addBands(ndwi_bands)", | |
| "execution_count": 52, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "values = image.sampleRegions(**{\n 'collection': roi,\n 'properties': ['value'],\n 'scale': 30\n})", | |
| "execution_count": 53, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "values.first().getInfo()", | |
| "execution_count": 54, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 54, | |
| "data": { | |
| "text/plain": "{'type': 'Feature',\n 'geometry': None,\n 'id': '0_0',\n 'properties': {'0_gndvi_2016-06-01': 0.17730097845226628,\n '0_ndvi_2016-06-01': 0.19966003712631705,\n '0_ndwi_2016-06-01': 0.04132534507047729,\n '0_osavi_2016-06-01': 0.28011209392523806,\n '0_rdvi_2016-06-01': 0.19966003712631705,\n '0_tcari_2016-06-01': 0.26803422074726607,\n '0_tci_2016-06-01': 0.1344990113770828,\n '10_gndvi_2018-08-01': 0.2711383215050186,\n '10_ndvi_2018-08-01': 0.29204545462411485,\n '10_ndwi_2018-08-01': 0.09382368736460531,\n '10_osavi_2018-08-01': 0.37525488468500284,\n '10_rdvi_2018-08-01': 0.29204545462411485,\n '10_tcari_2018-08-01': 0.48493774983885596,\n '10_tci_2018-08-01': 0.2453968337692008,\n '11_gndvi_2018-09-01': 0.37155307098289586,\n '11_ndvi_2018-09-01': 0.43620991052936137,\n '11_ndwi_2018-09-01': 0.03937919081092903,\n '11_osavi_2018-09-01': 0.5845365066066559,\n '11_rdvi_2018-09-01': 0.43620991052936137,\n '11_tcari_2018-09-01': 0.4873517731298547,\n '11_tci_2018-09-01': 0.38992810178762927,\n '12_gndvi_2019-06-01': 0.2331973534175524,\n '12_ndvi_2019-06-01': 0.20737014722605507,\n '12_ndwi_2019-06-01': 0.12158590999434365,\n '12_osavi_2019-06-01': 0.2705985136565928,\n '12_rdvi_2019-06-01': 0.20737014722605507,\n '12_tcari_2019-06-01': 0.3396657290975311,\n '12_tci_2019-06-01': 0.1462855200753212,\n '13_gndvi_2019-07-01': 0.27294464249603984,\n '13_ndvi_2019-07-01': 0.2919585212668109,\n '13_ndwi_2019-07-01': 0.10221104096975128,\n '13_osavi_2019-07-01': 0.38706205465031723,\n '13_rdvi_2019-07-01': 0.2919585212668109,\n '13_tcari_2019-07-01': 0.44293360372922086,\n '13_tci_2019-07-01': 0.22793803244188834,\n '14_gndvi_2019-08-01': 0.5208115467257842,\n '14_ndvi_2019-08-01': 0.5809636016041337,\n '14_ndwi_2019-08-01': 0.05461391964106573,\n '14_osavi_2019-08-01': 0.7202557412946522,\n '14_rdvi_2019-08-01': 0.5809636016041337,\n '14_tcari_2019-08-01': 0.4776225471467309,\n '14_tci_2019-08-01': 0.6063607800871995,\n '15_gndvi_2019-09-01': 0.47418641101819636,\n '15_ndvi_2019-09-01': 0.5455151753185051,\n '15_ndwi_2019-09-01': 0.047390179568827934,\n '15_osavi_2019-09-01': 0.6817608226228566,\n '15_rdvi_2019-09-01': 0.5455151753185051,\n '15_tcari_2019-09-01': 0.5879320276187817,\n '15_tci_2019-09-01': 0.5726302302013397,\n '1_gndvi_2016-07-01': 0.16249975878374406,\n '1_ndvi_2016-07-01': 0.17239146371827488,\n '1_ndwi_2016-07-01': 0.0745923952308132,\n '1_osavi_2016-07-01': 0.24036272021737068,\n '1_rdvi_2016-07-01': 0.17239146371827488,\n '1_tcari_2016-07-01': 0.24009179543836245,\n '1_tci_2016-07-01': 0.11378382854747877,\n '2_gndvi_2016-08-01': 0.46342908143913236,\n '2_ndvi_2016-08-01': 0.5283800421720329,\n '2_ndwi_2016-08-01': 0.052606947069697686,\n '2_osavi_2016-08-01': 0.6640250545033666,\n '2_rdvi_2016-08-01': 0.5283800421720329,\n '2_tcari_2016-08-01': 0.6010047718769246,\n '2_tci_2016-08-01': 0.5366006619750278,\n '3_gndvi_2016-09-01': 0.4946948387910902,\n '3_ndvi_2016-09-01': 0.5638248716254548,\n '3_ndwi_2016-09-01': 0.048897093486060486,\n '3_osavi_2016-09-01': 0.7084953724879709,\n '3_rdvi_2016-09-01': 0.5638248716254548,\n '3_tcari_2016-09-01': 0.47467166753180545,\n '3_tci_2016-09-01': 0.5919190460258525,\n '4_gndvi_2017-06-01': 0.21327830399462178,\n '4_ndvi_2017-06-01': 0.20368780364470887,\n '4_ndwi_2017-06-01': 0.11184298137797527,\n '4_osavi_2017-06-01': 0.2741735304943126,\n '4_rdvi_2017-06-01': 0.20368780364470887,\n '4_tcari_2017-06-01': 0.30982972182233304,\n '4_tci_2017-06-01': 0.13992732339047073,\n '5_gndvi_2017-07-01': 0.32651843830989824,\n '5_ndvi_2017-07-01': 0.3734778691881524,\n '5_ndwi_2017-07-01': 0.07560804563198524,\n '5_osavi_2017-07-01': 0.49526781986455104,\n '5_rdvi_2017-07-01': 0.3734778691881524,\n '5_tcari_2017-07-01': 0.5188003841484039,\n '5_tci_2017-07-01': 0.3173204569014659,\n '6_gndvi_2017-08-01': 0.37510150457153124,\n '6_ndvi_2017-08-01': 0.4456672163067726,\n '6_ndwi_2017-08-01': 0.036125465503458846,\n '6_osavi_2017-08-01': 0.5796208412354663,\n '6_rdvi_2017-08-01': 0.4456672163067726,\n '6_tcari_2017-08-01': 0.5827248950477513,\n '6_tci_2017-08-01': 0.42592423614907327,\n '7_gndvi_2017-09-01': 0.28843351221297336,\n '7_ndvi_2017-09-01': 0.32494118665495136,\n '7_ndwi_2017-09-01': 0.06966011714204988,\n '7_osavi_2017-09-01': 0.4260478594869327,\n '7_rdvi_2017-09-01': 0.32494118665495136,\n '7_tcari_2017-09-01': 0.499035290084027,\n '7_tci_2017-09-01': 0.27340822057442227,\n '8_gndvi_2018-06-01': 0.22399665074694103,\n '8_ndvi_2018-06-01': 0.2039904668613551,\n '8_ndwi_2018-06-01': 0.09968560837602394,\n '8_osavi_2018-06-01': 0.2698087417794657,\n '8_rdvi_2018-06-01': 0.2039904668613551,\n '8_tcari_2018-06-01': 0.32411371947270484,\n '8_tci_2018-06-01': 0.14177876235237516,\n '9_gndvi_2018-07-01': 0.22916339295094676,\n '9_ndvi_2018-07-01': 0.19755515524808087,\n '9_ndwi_2018-07-01': 0.13770384106185474,\n '9_osavi_2018-07-01': 0.2570229601037392,\n '9_rdvi_2018-07-01': 0.19755515524808087,\n '9_tcari_2018-07-01': 0.3264370535304721,\n '9_tci_2018-07-01': 0.13752925122604984,\n 'aspect': 132.04241943359375,\n 'elevation': 258.7740783691406,\n 'slope': 3.5088696479797363}}" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "values.getInfo()", | |
| "execution_count": 55, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 55, | |
| "data": { | |
| "text/plain": "{'type': 'FeatureCollection',\n 'columns': {},\n 'properties': {'band_order': ['elevation',\n 'slope',\n 'aspect',\n '0_ndvi_2016-06-01',\n '1_ndvi_2016-07-01',\n '2_ndvi_2016-08-01',\n '3_ndvi_2016-09-01',\n '4_ndvi_2017-06-01',\n '5_ndvi_2017-07-01',\n '6_ndvi_2017-08-01',\n '7_ndvi_2017-09-01',\n '8_ndvi_2018-06-01',\n '9_ndvi_2018-07-01',\n '10_ndvi_2018-08-01',\n '11_ndvi_2018-09-01',\n '12_ndvi_2019-06-01',\n '13_ndvi_2019-07-01',\n '14_ndvi_2019-08-01',\n '15_ndvi_2019-09-01',\n '0_gndvi_2016-06-01',\n '1_gndvi_2016-07-01',\n '2_gndvi_2016-08-01',\n '3_gndvi_2016-09-01',\n '4_gndvi_2017-06-01',\n '5_gndvi_2017-07-01',\n '6_gndvi_2017-08-01',\n '7_gndvi_2017-09-01',\n '8_gndvi_2018-06-01',\n '9_gndvi_2018-07-01',\n '10_gndvi_2018-08-01',\n '11_gndvi_2018-09-01',\n '12_gndvi_2019-06-01',\n '13_gndvi_2019-07-01',\n '14_gndvi_2019-08-01',\n '15_gndvi_2019-09-01',\n '0_osavi_2016-06-01',\n '1_osavi_2016-07-01',\n '2_osavi_2016-08-01',\n '3_osavi_2016-09-01',\n '4_osavi_2017-06-01',\n '5_osavi_2017-07-01',\n '6_osavi_2017-08-01',\n '7_osavi_2017-09-01',\n '8_osavi_2018-06-01',\n '9_osavi_2018-07-01',\n '10_osavi_2018-08-01',\n '11_osavi_2018-09-01',\n '12_osavi_2019-06-01',\n '13_osavi_2019-07-01',\n '14_osavi_2019-08-01',\n '15_osavi_2019-09-01',\n '0_rdvi_2016-06-01',\n '1_rdvi_2016-07-01',\n '2_rdvi_2016-08-01',\n '3_rdvi_2016-09-01',\n '4_rdvi_2017-06-01',\n '5_rdvi_2017-07-01',\n '6_rdvi_2017-08-01',\n '7_rdvi_2017-09-01',\n '8_rdvi_2018-06-01',\n '9_rdvi_2018-07-01',\n '10_rdvi_2018-08-01',\n '11_rdvi_2018-09-01',\n '12_rdvi_2019-06-01',\n '13_rdvi_2019-07-01',\n '14_rdvi_2019-08-01',\n '15_rdvi_2019-09-01',\n '0_tcari_2016-06-01',\n '1_tcari_2016-07-01',\n '2_tcari_2016-08-01',\n '3_tcari_2016-09-01',\n '4_tcari_2017-06-01',\n '5_tcari_2017-07-01',\n '6_tcari_2017-08-01',\n '7_tcari_2017-09-01',\n '8_tcari_2018-06-01',\n '9_tcari_2018-07-01',\n '10_tcari_2018-08-01',\n '11_tcari_2018-09-01',\n '12_tcari_2019-06-01',\n '13_tcari_2019-07-01',\n '14_tcari_2019-08-01',\n '15_tcari_2019-09-01',\n '0_tci_2016-06-01',\n '1_tci_2016-07-01',\n '2_tci_2016-08-01',\n '3_tci_2016-09-01',\n '4_tci_2017-06-01',\n '5_tci_2017-07-01',\n '6_tci_2017-08-01',\n '7_tci_2017-09-01',\n '8_tci_2018-06-01',\n '9_tci_2018-07-01',\n '10_tci_2018-08-01',\n '11_tci_2018-09-01',\n '12_tci_2019-06-01',\n '13_tci_2019-07-01',\n '14_tci_2019-08-01',\n '15_tci_2019-09-01',\n '0_ndwi_2016-06-01',\n '1_ndwi_2016-07-01',\n '2_ndwi_2016-08-01',\n '3_ndwi_2016-09-01',\n '4_ndwi_2017-06-01',\n '5_ndwi_2017-07-01',\n '6_ndwi_2017-08-01',\n '7_ndwi_2017-09-01',\n '8_ndwi_2018-06-01',\n '9_ndwi_2018-07-01',\n '10_ndwi_2018-08-01',\n '11_ndwi_2018-09-01',\n '12_ndwi_2019-06-01',\n '13_ndwi_2019-07-01',\n '14_ndwi_2019-08-01',\n '15_ndwi_2019-09-01']},\n 'features': [{'type': 'Feature',\n 'geometry': None,\n 'id': '0_0',\n 'properties': {'0_gndvi_2016-06-01': 0.17730097845226628,\n '0_ndvi_2016-06-01': 0.19966003712631705,\n '0_ndwi_2016-06-01': 0.04132534507047729,\n '0_osavi_2016-06-01': 0.28011209392523806,\n '0_rdvi_2016-06-01': 0.19966003712631705,\n '0_tcari_2016-06-01': 0.26803422074726607,\n '0_tci_2016-06-01': 0.1344990113770828,\n '10_gndvi_2018-08-01': 0.2711383215050186,\n '10_ndvi_2018-08-01': 0.29204545462411485,\n '10_ndwi_2018-08-01': 0.09382368736460531,\n '10_osavi_2018-08-01': 0.37525488468500284,\n '10_rdvi_2018-08-01': 0.29204545462411485,\n '10_tcari_2018-08-01': 0.48493774983885596,\n '10_tci_2018-08-01': 0.2453968337692008,\n '11_gndvi_2018-09-01': 0.37155307098289586,\n '11_ndvi_2018-09-01': 0.43620991052936137,\n '11_ndwi_2018-09-01': 0.03937919081092903,\n '11_osavi_2018-09-01': 0.5845365066066559,\n '11_rdvi_2018-09-01': 0.43620991052936137,\n '11_tcari_2018-09-01': 0.4873517731298547,\n '11_tci_2018-09-01': 0.38992810178762927,\n '12_gndvi_2019-06-01': 0.2331973534175524,\n '12_ndvi_2019-06-01': 0.20737014722605507,\n '12_ndwi_2019-06-01': 0.12158590999434365,\n '12_osavi_2019-06-01': 0.2705985136565928,\n '12_rdvi_2019-06-01': 0.20737014722605507,\n '12_tcari_2019-06-01': 0.3396657290975311,\n '12_tci_2019-06-01': 0.1462855200753212,\n '13_gndvi_2019-07-01': 0.27294464249603984,\n '13_ndvi_2019-07-01': 0.2919585212668109,\n '13_ndwi_2019-07-01': 0.10221104096975128,\n '13_osavi_2019-07-01': 0.38706205465031723,\n '13_rdvi_2019-07-01': 0.2919585212668109,\n '13_tcari_2019-07-01': 0.44293360372922086,\n '13_tci_2019-07-01': 0.22793803244188834,\n '14_gndvi_2019-08-01': 0.5208115467257842,\n '14_ndvi_2019-08-01': 0.5809636016041337,\n '14_ndwi_2019-08-01': 0.05461391964106573,\n '14_osavi_2019-08-01': 0.7202557412946522,\n '14_rdvi_2019-08-01': 0.5809636016041337,\n '14_tcari_2019-08-01': 0.4776225471467309,\n '14_tci_2019-08-01': 0.6063607800871995,\n '15_gndvi_2019-09-01': 0.47418641101819636,\n '15_ndvi_2019-09-01': 0.5455151753185051,\n '15_ndwi_2019-09-01': 0.047390179568827934,\n '15_osavi_2019-09-01': 0.6817608226228566,\n 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