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edited Aug 4, 2018 at 1:47

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Use visualize function

// var landcover_roi = composite.clip(ft); var landcover_roi = ee.Image('COPERNICUS/S2/20151001T142056_20161104T062106_T18GYP') var ndvi =landcover_roi.normalizedDifference(['B8', 'B4']); // Make a palette: a list of hex strings. var palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301']; // make a visualizing variable var vis = {min: 0, max: 1, palette: palette, bands:['nd']}; // create a new image that will have 'vis-red', 'vis-green' and 'vis-blue' bands and add original value of ndvi var toexport = ndvi.visualize(vis).addBands(ndvi) Map.addLayer(ndvi, vis,'Sentinel-2 NDVI') Export.image.toDrive({ image:toexport, description: 'ndvi', scale: 30, maxPixels:1e13 });

In Python:

import ee ee.Initialize() landcover_roi = ee.Image('COPERNICUS/S2/20151001T142056_20161104T062106_T18GYP') ndvi =landcover_roi.normalizedDifference(['B8', 'B4']) # Make a palette: a list of hex strings. palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301'] palette = ','.join(palette) # make a visualizing variable vis = {'min': 0, 'max': 1, 'bands':'nd', 'palette': palette} # create a new image that will have 'vis-red', 'vis-green' and 'vis-blue' bands and add original value of ndvi toexport = ndvi.visualize(**vis).addBands(ndvi) params = { 'fileNamePrefix':'NAME', 'folder':'FOLDER', 'image':toexport.toFloat(), // cast bands 'description': 'ndvi', 'scale': 30, 'maxPixels':1e13 } ee.batch.Export.image.toDrive(**params)

Use visualize function

// var landcover_roi = composite.clip(ft); var landcover_roi = ee.Image('COPERNICUS/S2/20151001T142056_20161104T062106_T18GYP') var ndvi =landcover_roi.normalizedDifference(['B8', 'B4']); // Make a palette: a list of hex strings. var palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301']; // make a visualizing variable var vis = {min: 0, max: 1, palette: palette, bands:['nd']}; // create a new image that will have 'vis-red', 'vis-green' and 'vis-blue' bands and add original value of ndvi var toexport = ndvi.visualize(vis).addBands(ndvi) Map.addLayer(ndvi, vis,'Sentinel-2 NDVI') Export.image.toDrive({ image:toexport, description: 'ndvi', scale: 30, maxPixels:1e13 });

In Python:

import ee ee.Initialize() landcover_roi = ee.Image('COPERNICUS/S2/20151001T142056_20161104T062106_T18GYP') ndvi =landcover_roi.normalizedDifference(['B8', 'B4']) # Make a palette: a list of hex strings. palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301'] palette = ','.join(palette) # make a visualizing variable vis = {'min': 0, 'max': 1, 'bands':'nd', 'palette': palette} # create a new image that will have 'vis-red', 'vis-green' and 'vis-blue' bands and add original value of ndvi toexport = ndvi.visualize(**vis).addBands(ndvi) params = { 'fileNamePrefix':'NAME', 'folder':'FOLDER', 'image':toexport, 'description': 'ndvi', 'scale': 30, 'maxPixels':1e13 } ee.batch.Export.image.toDrive(**params)

Use visualize function

// var landcover_roi = composite.clip(ft); var landcover_roi = ee.Image('COPERNICUS/S2/20151001T142056_20161104T062106_T18GYP') var ndvi =landcover_roi.normalizedDifference(['B8', 'B4']); // Make a palette: a list of hex strings. var palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301']; // make a visualizing variable var vis = {min: 0, max: 1, palette: palette, bands:['nd']}; // create a new image that will have 'vis-red', 'vis-green' and 'vis-blue' bands and add original value of ndvi var toexport = ndvi.visualize(vis).addBands(ndvi) Map.addLayer(ndvi, vis,'Sentinel-2 NDVI') Export.image.toDrive({ image:toexport, description: 'ndvi', scale: 30, maxPixels:1e13 });

In Python:

import ee ee.Initialize() landcover_roi = ee.Image('COPERNICUS/S2/20151001T142056_20161104T062106_T18GYP') ndvi =landcover_roi.normalizedDifference(['B8', 'B4']) # Make a palette: a list of hex strings. palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301'] palette = ','.join(palette) # make a visualizing variable vis = {'min': 0, 'max': 1, 'bands':'nd', 'palette': palette} # create a new image that will have 'vis-red', 'vis-green' and 'vis-blue' bands and add original value of ndvi toexport = ndvi.visualize(**vis).addBands(ndvi) params = { 'fileNamePrefix':'NAME', 'folder':'FOLDER', 'image':toexport.toFloat(), // cast bands 'description': 'ndvi', 'scale': 30, 'maxPixels':1e13 } ee.batch.Export.image.toDrive(**params)

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edited Aug 3, 2018 at 16:40

Rodrigo E. Principe

10.3k
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37

Use visualize function

// var landcover_roi = composite.clip(ft); var landcover_roi = ee.Image('COPERNICUS/S2/20151001T142056_20161104T062106_T18GYP') var ndvi =landcover_roi.normalizedDifference(['B8', 'B4']); // Make a palette: a list of hex strings. var palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301']; // make a visualizing variable var vis = {min: 0, max: 1, palette: palette, bands:['nd']}; // create a new image that will have 'vis-red', 'vis-green' and 'vis-blue' bands and add original value of ndvi var toexport = ndvi.visualize(vis).addBands(ndvi) Map.addLayer(ndvi, vis,'Sentinel-2 NDVI') Export.image.toDrive({ image:toexport, description: 'ndvi', scale: 30, maxPixels:1e13 });

In Python:

import ee ee.Initialize() landcover_roi = ee.Image('COPERNICUS/S2/20151001T142056_20161104T062106_T18GYP') ndvi =landcover_roi.normalizedDifference(['B8', 'B4']) # Make a palette: a list of hex strings. palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301'] palette = ','.join(palette) # make a visualizing variable vis = {'min': 0, 'max': 1, 'bands':'nd', 'palette': palette} # create a new image that will have 'vis-red', 'vis-green' and 'vis-blue' bands and add original value of ndvi toexport = ndvi.visualize(**vis).addBands(ndvi) params = { 'fileNamePrefix':'NAME', 'folder':'FOLDER', 'image':toexport, 'description': 'ndvi', 'scale': 30, 'maxPixels':1e13 } ee.batch.Export.image.toDrive(**params)

Use visualize function

var landcover_roi = composite.clip(ft); var ndvi =landcover_roi.normalizedDifference(['B8', 'B4']); // Make a palette: a list of hex strings. var palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301']; // make a visualizing variable var vis = {min: 0, max: 1, palette: palette, bands:['nd']}; // create a new image that will have 'vis-red', 'vis-green' and 'vis-blue' bands and add original value of ndvi var toexport = ndvi.visualize(vis).addBands(ndvi) Map.addLayer(ndvi, vis,'Sentinel-2 NDVI') Export.image.toDrive({ image:toexport, description: 'ndvi', scale: 30, maxPixels:1e13 });

Use visualize function

// var landcover_roi = composite.clip(ft); var landcover_roi = ee.Image('COPERNICUS/S2/20151001T142056_20161104T062106_T18GYP') var ndvi =landcover_roi.normalizedDifference(['B8', 'B4']); // Make a palette: a list of hex strings. var palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301']; // make a visualizing variable var vis = {min: 0, max: 1, palette: palette, bands:['nd']}; // create a new image that will have 'vis-red', 'vis-green' and 'vis-blue' bands and add original value of ndvi var toexport = ndvi.visualize(vis).addBands(ndvi) Map.addLayer(ndvi, vis,'Sentinel-2 NDVI') Export.image.toDrive({ image:toexport, description: 'ndvi', scale: 30, maxPixels:1e13 });

In Python:

import ee ee.Initialize() landcover_roi = ee.Image('COPERNICUS/S2/20151001T142056_20161104T062106_T18GYP') ndvi =landcover_roi.normalizedDifference(['B8', 'B4']) # Make a palette: a list of hex strings. palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301'] palette = ','.join(palette) # make a visualizing variable vis = {'min': 0, 'max': 1, 'bands':'nd', 'palette': palette} # create a new image that will have 'vis-red', 'vis-green' and 'vis-blue' bands and add original value of ndvi toexport = ndvi.visualize(**vis).addBands(ndvi) params = { 'fileNamePrefix':'NAME', 'folder':'FOLDER', 'image':toexport, 'description': 'ndvi', 'scale': 30, 'maxPixels':1e13 } ee.batch.Export.image.toDrive(**params)

code correction

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edited Aug 2, 2018 at 14:44

Rodrigo E. Principe

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Use visualize function

var landcover_roi = composite.clip(ft); var ndvi =landcover_roi.normalizedDifference(['B8', 'B4']); // Make a palette: a list of hex strings. var palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301']; // make a visualizing variable var vis = {min: 0, max: 1, palette: palette, bands:['nd']}; // create a new image that will have 'vis-red', 'vis-green' and 'vis-blue' bands and add original value of ndvi var toexport = ndvi.visualize(vis).addBands(['nd']ndvi) Map.addLayer(ndvi, vis,'Sentinel-2 NDVI') Export.image.toDrive({ image:toexport, description: 'ndvi', scale: 30, maxPixels:1e13 });

Use visualize function

var landcover_roi = composite.clip(ft); var ndvi =landcover_roi.normalizedDifference(['B8', 'B4']); // Make a palette: a list of hex strings. var palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301']; // make a visualizing variable var vis = {min: 0, max: 1, palette: palette, bands:['nd']}; // create a new image that will have 'vis-red', 'vis-green' and 'vis-blue' bands and add original value of ndvi var toexport = ndvi.visualize(vis).addBands(['nd']) Map.addLayer(ndvi, vis,'Sentinel-2 NDVI') Export.image.toDrive({ image:toexport, description: 'ndvi', scale: 30, maxPixels:1e13 });

Use visualize function

var landcover_roi = composite.clip(ft); var ndvi =landcover_roi.normalizedDifference(['B8', 'B4']); // Make a palette: a list of hex strings. var palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301']; // make a visualizing variable var vis = {min: 0, max: 1, palette: palette, bands:['nd']}; // create a new image that will have 'vis-red', 'vis-green' and 'vis-blue' bands and add original value of ndvi var toexport = ndvi.visualize(vis).addBands(ndvi) Map.addLayer(ndvi, vis,'Sentinel-2 NDVI') Export.image.toDrive({ image:toexport, description: 'ndvi', scale: 30, maxPixels:1e13 });

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answered Aug 2, 2018 at 14:38

Rodrigo E. Principe

10.3k
1
32
37