Seeking Function to calculate red-edgeNDVI in Google Earth Engine?Calculating CIredEdge from Sentinel 2 composite image and adding as Band in Google Earth Explorer?How to calculate forest loss in google earth engineGEE cloud-free Sentinel2 and linear RegressionLinearFit with Google Earth EngineCalculate MSAVI (Modified Soil-adjusted Vegetation Index) in Google Earth EngineGoogle Earth Engine - Map.addLayerGoogle Earth Engine, how to distinguish between rivers/streams and ponds/lakes in a water maskMissing band in mapping function using Google Earth EngineEarth Engine - function for printing multiple histogramsEarth Engine create user defined function with default parametersGoogle Earth Engine formaTrend function
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Seeking Function to calculate red-edgeNDVI in Google Earth Engine?
Calculating CIredEdge from Sentinel 2 composite image and adding as Band in Google Earth Explorer?How to calculate forest loss in google earth engineGEE cloud-free Sentinel2 and linear RegressionLinearFit with Google Earth EngineCalculate MSAVI (Modified Soil-adjusted Vegetation Index) in Google Earth EngineGoogle Earth Engine - Map.addLayerGoogle Earth Engine, how to distinguish between rivers/streams and ponds/lakes in a water maskMissing band in mapping function using Google Earth EngineEarth Engine - function for printing multiple histogramsEarth Engine create user defined function with default parametersGoogle Earth Engine formaTrend function
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;
I am trying to calculate the red-edgeNDVI ((NIR – red edge)/(NIR + red edge)) of an Image.Collection in Google Earth Engine. There is a built in function for NDVI but not for red-edge NDVI. The code I have is below but I get the error message "image.NIR is undefined". I'm sure this is a simple syntax issue related to the function but I've tried everything I could think of and I just can't get it to work.
Can you tell me what I'm missing?
/**
* Function to mask clouds using the Sentinel-2 QA band
* @param ee.Image image Sentinel-2 image
* @return ee.Image cloud masked Sentinel-2 image
*/
function maskS2clouds(image)
var qa = image.select('QA60');
// Bits 10 and 11 are clouds and cirrus, respectively.
var cloudBitMask = 1 << 10;
var cirrusBitMask = 1 << 11;
// Both flags should be set to zero, indicating clear conditions.
var mask = qa.bitwiseAnd(cloudBitMask).eq(0)
.and(qa.bitwiseAnd(cirrusBitMask).eq(0));
return image.updateMask(mask)
.divide(10000);
// Load Sentinel-2 TOA reflectance data.
var S2 = ee.ImageCollection('COPERNICUS/S2')
.filterDate('2017-06-01', '2017-09-30')
// Pre-filter to get less cloudy granules.
.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20))
//Select required bands only
.select('B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B8A', 'QA60')
//Apply cloud mask
.map(maskS2clouds);
//Create band variables
var redEdge = S2.select('B5');
var NIR = S2.select('B8');
//Function to calculate redEdgeNDVI
var add_reNDVI = function(image)
var redEdgeNDVI = image.NIR.subtract(redEdge).divide(NIR.add(redEdge)).rename('reNDVI');
return image.addBands(reNDVI);
;
google-earth-engine function vegetation-index
add a comment |
I am trying to calculate the red-edgeNDVI ((NIR – red edge)/(NIR + red edge)) of an Image.Collection in Google Earth Engine. There is a built in function for NDVI but not for red-edge NDVI. The code I have is below but I get the error message "image.NIR is undefined". I'm sure this is a simple syntax issue related to the function but I've tried everything I could think of and I just can't get it to work.
Can you tell me what I'm missing?
/**
* Function to mask clouds using the Sentinel-2 QA band
* @param ee.Image image Sentinel-2 image
* @return ee.Image cloud masked Sentinel-2 image
*/
function maskS2clouds(image)
var qa = image.select('QA60');
// Bits 10 and 11 are clouds and cirrus, respectively.
var cloudBitMask = 1 << 10;
var cirrusBitMask = 1 << 11;
// Both flags should be set to zero, indicating clear conditions.
var mask = qa.bitwiseAnd(cloudBitMask).eq(0)
.and(qa.bitwiseAnd(cirrusBitMask).eq(0));
return image.updateMask(mask)
.divide(10000);
// Load Sentinel-2 TOA reflectance data.
var S2 = ee.ImageCollection('COPERNICUS/S2')
.filterDate('2017-06-01', '2017-09-30')
// Pre-filter to get less cloudy granules.
.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20))
//Select required bands only
.select('B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B8A', 'QA60')
//Apply cloud mask
.map(maskS2clouds);
//Create band variables
var redEdge = S2.select('B5');
var NIR = S2.select('B8');
//Function to calculate redEdgeNDVI
var add_reNDVI = function(image)
var redEdgeNDVI = image.NIR.subtract(redEdge).divide(NIR.add(redEdge)).rename('reNDVI');
return image.addBands(reNDVI);
;
google-earth-engine function vegetation-index
add a comment |
I am trying to calculate the red-edgeNDVI ((NIR – red edge)/(NIR + red edge)) of an Image.Collection in Google Earth Engine. There is a built in function for NDVI but not for red-edge NDVI. The code I have is below but I get the error message "image.NIR is undefined". I'm sure this is a simple syntax issue related to the function but I've tried everything I could think of and I just can't get it to work.
Can you tell me what I'm missing?
/**
* Function to mask clouds using the Sentinel-2 QA band
* @param ee.Image image Sentinel-2 image
* @return ee.Image cloud masked Sentinel-2 image
*/
function maskS2clouds(image)
var qa = image.select('QA60');
// Bits 10 and 11 are clouds and cirrus, respectively.
var cloudBitMask = 1 << 10;
var cirrusBitMask = 1 << 11;
// Both flags should be set to zero, indicating clear conditions.
var mask = qa.bitwiseAnd(cloudBitMask).eq(0)
.and(qa.bitwiseAnd(cirrusBitMask).eq(0));
return image.updateMask(mask)
.divide(10000);
// Load Sentinel-2 TOA reflectance data.
var S2 = ee.ImageCollection('COPERNICUS/S2')
.filterDate('2017-06-01', '2017-09-30')
// Pre-filter to get less cloudy granules.
.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20))
//Select required bands only
.select('B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B8A', 'QA60')
//Apply cloud mask
.map(maskS2clouds);
//Create band variables
var redEdge = S2.select('B5');
var NIR = S2.select('B8');
//Function to calculate redEdgeNDVI
var add_reNDVI = function(image)
var redEdgeNDVI = image.NIR.subtract(redEdge).divide(NIR.add(redEdge)).rename('reNDVI');
return image.addBands(reNDVI);
;
google-earth-engine function vegetation-index
I am trying to calculate the red-edgeNDVI ((NIR – red edge)/(NIR + red edge)) of an Image.Collection in Google Earth Engine. There is a built in function for NDVI but not for red-edge NDVI. The code I have is below but I get the error message "image.NIR is undefined". I'm sure this is a simple syntax issue related to the function but I've tried everything I could think of and I just can't get it to work.
Can you tell me what I'm missing?
/**
* Function to mask clouds using the Sentinel-2 QA band
* @param ee.Image image Sentinel-2 image
* @return ee.Image cloud masked Sentinel-2 image
*/
function maskS2clouds(image)
var qa = image.select('QA60');
// Bits 10 and 11 are clouds and cirrus, respectively.
var cloudBitMask = 1 << 10;
var cirrusBitMask = 1 << 11;
// Both flags should be set to zero, indicating clear conditions.
var mask = qa.bitwiseAnd(cloudBitMask).eq(0)
.and(qa.bitwiseAnd(cirrusBitMask).eq(0));
return image.updateMask(mask)
.divide(10000);
// Load Sentinel-2 TOA reflectance data.
var S2 = ee.ImageCollection('COPERNICUS/S2')
.filterDate('2017-06-01', '2017-09-30')
// Pre-filter to get less cloudy granules.
.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20))
//Select required bands only
.select('B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B8A', 'QA60')
//Apply cloud mask
.map(maskS2clouds);
//Create band variables
var redEdge = S2.select('B5');
var NIR = S2.select('B8');
//Function to calculate redEdgeNDVI
var add_reNDVI = function(image)
var redEdgeNDVI = image.NIR.subtract(redEdge).divide(NIR.add(redEdge)).rename('reNDVI');
return image.addBands(reNDVI);
;
google-earth-engine function vegetation-index
google-earth-engine function vegetation-index
edited Apr 27 at 0:49
PolyGeo♦
54.2k1782249
54.2k1782249
asked Apr 24 at 19:42
Adam GAdam G
406
406
add a comment |
add a comment |
1 Answer
1
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In your code, S2 is an ImageCollection, so when you "create band variables" you're just getting ImageCollections in which every image inside has only the selected band, which is useful. As you well commented, add_reNDVI is a function that will take every image in the collection and calculate reNDVI. So you have to map that function over the collection to get what you want.
// Load Sentinel-2 TOA reflectance data.
var S2 = ee.ImageCollection('COPERNICUS/S2')
.filterDate('2017-06-01', '2017-09-30')
// Pre-filter to get less cloudy granules.
.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20))
//Select required bands only
.select('B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B8A', 'QA60')
//Apply cloud mask
.map(maskS2clouds);
//Function to calculate redEdgeNDVI
var add_reNDVI = function(image)
//Create band variables
var redEdge = image.select('B5');
var NIR = image.select('B8');
var redEdgeNDVI = NIR.subtract(redEdge).divide(NIR.add(redEdge)).rename('reNDVI');
return image.addBands(redEdgeNDVI);
;
var s2_reNDVI = S2.map(add_reNDVI)
Map.centerObject(s2_reNDVI.first())
Map.addLayer(s2_reNDVI.first())
I guess you'll need to filter by bounds at some point, that is why I just took the first image out of the collection to check if it's working
Thanks @Rodrigo. This worked fine. I've posted a follow-up question (gis.stackexchange.com/questions/320967/…). I supect you may be able to answer this one too.
– Adam G
Apr 26 at 14:29
add a comment |
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1 Answer
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active
oldest
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1 Answer
1
active
oldest
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active
oldest
votes
active
oldest
votes
In your code, S2 is an ImageCollection, so when you "create band variables" you're just getting ImageCollections in which every image inside has only the selected band, which is useful. As you well commented, add_reNDVI is a function that will take every image in the collection and calculate reNDVI. So you have to map that function over the collection to get what you want.
// Load Sentinel-2 TOA reflectance data.
var S2 = ee.ImageCollection('COPERNICUS/S2')
.filterDate('2017-06-01', '2017-09-30')
// Pre-filter to get less cloudy granules.
.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20))
//Select required bands only
.select('B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B8A', 'QA60')
//Apply cloud mask
.map(maskS2clouds);
//Function to calculate redEdgeNDVI
var add_reNDVI = function(image)
//Create band variables
var redEdge = image.select('B5');
var NIR = image.select('B8');
var redEdgeNDVI = NIR.subtract(redEdge).divide(NIR.add(redEdge)).rename('reNDVI');
return image.addBands(redEdgeNDVI);
;
var s2_reNDVI = S2.map(add_reNDVI)
Map.centerObject(s2_reNDVI.first())
Map.addLayer(s2_reNDVI.first())
I guess you'll need to filter by bounds at some point, that is why I just took the first image out of the collection to check if it's working
Thanks @Rodrigo. This worked fine. I've posted a follow-up question (gis.stackexchange.com/questions/320967/…). I supect you may be able to answer this one too.
– Adam G
Apr 26 at 14:29
add a comment |
In your code, S2 is an ImageCollection, so when you "create band variables" you're just getting ImageCollections in which every image inside has only the selected band, which is useful. As you well commented, add_reNDVI is a function that will take every image in the collection and calculate reNDVI. So you have to map that function over the collection to get what you want.
// Load Sentinel-2 TOA reflectance data.
var S2 = ee.ImageCollection('COPERNICUS/S2')
.filterDate('2017-06-01', '2017-09-30')
// Pre-filter to get less cloudy granules.
.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20))
//Select required bands only
.select('B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B8A', 'QA60')
//Apply cloud mask
.map(maskS2clouds);
//Function to calculate redEdgeNDVI
var add_reNDVI = function(image)
//Create band variables
var redEdge = image.select('B5');
var NIR = image.select('B8');
var redEdgeNDVI = NIR.subtract(redEdge).divide(NIR.add(redEdge)).rename('reNDVI');
return image.addBands(redEdgeNDVI);
;
var s2_reNDVI = S2.map(add_reNDVI)
Map.centerObject(s2_reNDVI.first())
Map.addLayer(s2_reNDVI.first())
I guess you'll need to filter by bounds at some point, that is why I just took the first image out of the collection to check if it's working
Thanks @Rodrigo. This worked fine. I've posted a follow-up question (gis.stackexchange.com/questions/320967/…). I supect you may be able to answer this one too.
– Adam G
Apr 26 at 14:29
add a comment |
In your code, S2 is an ImageCollection, so when you "create band variables" you're just getting ImageCollections in which every image inside has only the selected band, which is useful. As you well commented, add_reNDVI is a function that will take every image in the collection and calculate reNDVI. So you have to map that function over the collection to get what you want.
// Load Sentinel-2 TOA reflectance data.
var S2 = ee.ImageCollection('COPERNICUS/S2')
.filterDate('2017-06-01', '2017-09-30')
// Pre-filter to get less cloudy granules.
.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20))
//Select required bands only
.select('B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B8A', 'QA60')
//Apply cloud mask
.map(maskS2clouds);
//Function to calculate redEdgeNDVI
var add_reNDVI = function(image)
//Create band variables
var redEdge = image.select('B5');
var NIR = image.select('B8');
var redEdgeNDVI = NIR.subtract(redEdge).divide(NIR.add(redEdge)).rename('reNDVI');
return image.addBands(redEdgeNDVI);
;
var s2_reNDVI = S2.map(add_reNDVI)
Map.centerObject(s2_reNDVI.first())
Map.addLayer(s2_reNDVI.first())
I guess you'll need to filter by bounds at some point, that is why I just took the first image out of the collection to check if it's working
In your code, S2 is an ImageCollection, so when you "create band variables" you're just getting ImageCollections in which every image inside has only the selected band, which is useful. As you well commented, add_reNDVI is a function that will take every image in the collection and calculate reNDVI. So you have to map that function over the collection to get what you want.
// Load Sentinel-2 TOA reflectance data.
var S2 = ee.ImageCollection('COPERNICUS/S2')
.filterDate('2017-06-01', '2017-09-30')
// Pre-filter to get less cloudy granules.
.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20))
//Select required bands only
.select('B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B8A', 'QA60')
//Apply cloud mask
.map(maskS2clouds);
//Function to calculate redEdgeNDVI
var add_reNDVI = function(image)
//Create band variables
var redEdge = image.select('B5');
var NIR = image.select('B8');
var redEdgeNDVI = NIR.subtract(redEdge).divide(NIR.add(redEdge)).rename('reNDVI');
return image.addBands(redEdgeNDVI);
;
var s2_reNDVI = S2.map(add_reNDVI)
Map.centerObject(s2_reNDVI.first())
Map.addLayer(s2_reNDVI.first())
I guess you'll need to filter by bounds at some point, that is why I just took the first image out of the collection to check if it's working
answered Apr 24 at 20:16
Rodrigo E. PrincipeRodrigo E. Principe
4,57411021
4,57411021
Thanks @Rodrigo. This worked fine. I've posted a follow-up question (gis.stackexchange.com/questions/320967/…). I supect you may be able to answer this one too.
– Adam G
Apr 26 at 14:29
add a comment |
Thanks @Rodrigo. This worked fine. I've posted a follow-up question (gis.stackexchange.com/questions/320967/…). I supect you may be able to answer this one too.
– Adam G
Apr 26 at 14:29
Thanks @Rodrigo. This worked fine. I've posted a follow-up question (gis.stackexchange.com/questions/320967/…). I supect you may be able to answer this one too.
– Adam G
Apr 26 at 14:29
Thanks @Rodrigo. This worked fine. I've posted a follow-up question (gis.stackexchange.com/questions/320967/…). I supect you may be able to answer this one too.
– Adam G
Apr 26 at 14:29
add a comment |
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