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Blockserver
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{ | |
"metadata": { | |
"name": "Blockserver_example" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": "import BlockServer\n%cd 'D:\\'", | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": "D:\\\n" | |
} | |
], | |
"prompt_number": 5 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": "L8_1 = r'LC81970242013202LGN00.vrt'\nL8_2 = r'LC81970242013346NSG00.vrt'", | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 6 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": "# define inputs and outputs\ninputs = {'scene1': L8_1,\n 'scene2': L8_2}\n\noutputs = {'ndvi_change': 'ndvi_diff.tif',\n 'albedo_change': 'albedo_diff.tif'}\n\n# options are GDAL driver options\nobj = BlockServer(inputs=inputs, outputs=outputs,\n options=[\"COMPRESS=PACKBITS\", \"TILED=YES\", \"BLOCKXSIZE=128\", \"BLOCKYSIZE=128\"])\n\n# iterate over the blocks\nfor num in obj.GetBlockIDs():\n \n # returns a dict with arrays of each input\n blck = obj.GetBlock(num) \n \n # do something with the data\n sc1 = blck['scene1']\n ndvi1 = (sc1[5,:,:] - sc1[4,:,:]) / (sc1[5,:,:] + sc1[4,:,:])\n albe1 = np.average(sc1, axis=0)\n\n sc2 = blck['scene2']\n ndvi2 = (sc2[5,:,:] - sc2[4,:,:]) / (sc2[5,:,:] + sc2[4,:,:])\n albe2 = np.average(sc2, axis=0)\n \n ndvi_diff = ndvi1 - ndvi2\n albe_diff = albe1 - albe2\n \n # write the results, the dict must match the\n # earlier 'outputs' dict\n obj.WriteBlock(num, {'ndvi_change': ndvi_diff,\n 'albedo_change': albe_diff})\n\nobj.Close()", | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stderr", | |
"text": "-c:20: RuntimeWarning: divide by zero encountered in divide\n-c:24: RuntimeWarning: divide by zero encountered in divide\n" | |
} | |
], | |
"prompt_number": 7 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": "", | |
"language": "python", | |
"metadata": {}, | |
"outputs": [] | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
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