Summing multiple layers of data using Google Earth Engine? Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) Announcing the arrival of Valued Associate #679: Cesar Manara Unicorn Meta Zoo #1: Why another podcast?Getting Temperature Data of Given Point Using MODIS LST Data?Google Earth Engine. Looking for a way to have information for each location in the mentioned time period based on the non-cloudy layersGoogle Earth Engine - Map.addLayerWriting code for monthly NDVI medians in Google Earth Engine?Multiple date filter Google Earth EngineGoogle Earth Engine, how to distinguish between rivers/streams and ponds/lakes in a water maskImporting weather data using Google Earth Engine and visualizing them?Classification of NDVI using Google Earth EngineExporting Earth Engine results to kml for use in Google EarthEarth Engine: Function to generate daily image collection from 3 hourlySumming multiple years of rain data using Google Earth Engine?
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Summing multiple layers of data using Google Earth Engine?
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
Announcing the arrival of Valued Associate #679: Cesar Manara
Unicorn Meta Zoo #1: Why another podcast?Getting Temperature Data of Given Point Using MODIS LST Data?Google Earth Engine. Looking for a way to have information for each location in the mentioned time period based on the non-cloudy layersGoogle Earth Engine - Map.addLayerWriting code for monthly NDVI medians in Google Earth Engine?Multiple date filter Google Earth EngineGoogle Earth Engine, how to distinguish between rivers/streams and ponds/lakes in a water maskImporting weather data using Google Earth Engine and visualizing them?Classification of NDVI using Google Earth EngineExporting Earth Engine results to kml for use in Google EarthEarth Engine: Function to generate daily image collection from 3 hourlySumming multiple years of rain data using Google Earth Engine?
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;
-2
Using this code:
// This function clips images to the ROI feature collection
var clipToCol = function(image)
return image.clip(geometry);
;
var dataset = ee.ImageCollection('MODIS/006/MYD11A1')
.map(clipToCol);
var landSurfaceTemperature = dataset.select(['LST_Day_1km', 'LST_Night_1km']);
// According to: https://gis.stackexchange.com/questions/307548/getting-temperature-data-of-given-point-using-modis-lst-data
// map over the image collection and use server side functions
var tempToFahr = landSurfaceTemperature.map(function(image)
var props = image.toDictionary(image.propertyNames());
var Fahr = (image.multiply(0.02).subtract(273.15)).multiply(1.8).add(32);
// Mask where one of Night or day temperature has no data
var FahrMasks = Fahr.updateMask(Fahr.select('LST_Day_1km')).updateMask(Fahr.select('LST_Night_1km'));
// we assume that the night temperature is the min temp, and the day temperature is the max temperature
var meanFahr = FahrMasks.reduce('mean').rename('meanTemp');
// Calculate the GGD and make all the negative values 0 (see: https://en.wikipedia.org/wiki/Growing_degree-day)
var GDD = meanFahr.subtract(52.5).rename('GDD');
var GDDnonNeg = GDD.where(GDD.lt(0), 0).rename('GDDnonNeg');
return ee.Image(Fahr.addBands([meanFahr, GDD, GDDnonNeg]).setMulti(props));
);
// calculate the sum of GGD values
var summed = tempToFahr.select('GDDnonNeg').sum().rename('summedGDD');
var landSurfaceTemperatureVis =
min: 0,
max: 100,
bands: ['LST_Day_1km'],
palette: [
'040274', '040281', '0502a3', '0502b8', '0502ce', '0502e6',
'0602ff', '235cb1', '307ef3', '269db1', '30c8e2', '32d3ef',
'3be285', '3ff38f', '86e26f', '3ae237', 'b5e22e', 'd6e21f',
'fff705', 'ffd611', 'ffb613', 'ff8b13', 'ff6e08', 'ff500d',
'ff0000', 'de0101', 'c21301', 'a71001', '911003'
],
;
Map.setCenter(-85.60371794450282,44.73590436363271, 10);
var temp2011 = summed.filterDate("2011-06-15", "2011-07-15");
var temp2012 = summed.filterDate("2012-06-15", "2012-07-15");
var temp2013 = summed.filterDate("2013-06-15", "2013-07-15");
var temp2014 = summed.filterDate("2014-06-15", "2014-07-15");
var temp2015 = summed.filterDate("2015-06-15", "2015-07-15");
var temp2016 = summed.filterDate("2016-06-15", "2016-07-15");
var total2011 = temp2011.reduce(ee.Reducer.sum());
var total2012 = temp2012.reduce(ee.Reducer.sum());
var total2013 = temp2013.reduce(ee.Reducer.sum());
var total2014 = temp2014.reduce(ee.Reducer.sum());
var total2015 = temp2015.reduce(ee.Reducer.sum());
var total2016 = temp2016.reduce(ee.Reducer.sum());
var final = total2011.add(total2012).add(total2013).add(total2014).add(total2015).add(total2016);
Map.addLayer(final, landSurfaceTemperatureVis,
'Final Layer');
// Export a cloud-optimized GeoTIFF.
Export.image.toDrive(
image: summed,
description: 'imageToCOGeoTiffExample',
scale: 1000,
region: features,
fileFormat: 'GeoTIFF',
formatOptions:
cloudOptimized: true
);
I am returned an error "summed.filterDate is not a function"
What I am trying to do is compile the data between the filter dates and then sum the outputs into one final layer. I have been able to successfully perform this task with precipitation, but not temperature. Any ideas?
google-earth-engine
edited Apr 9 at 22:03
PolyGeo♦
54k1782246
asked Apr 9 at 17:58
Joey RosesJoey Roses
176
add a comment |
-2
Using this code:
// This function clips images to the ROI feature collection
var clipToCol = function(image)
return image.clip(geometry);
;
var dataset = ee.ImageCollection('MODIS/006/MYD11A1')
.map(clipToCol);
var landSurfaceTemperature = dataset.select(['LST_Day_1km', 'LST_Night_1km']);
// According to: https://gis.stackexchange.com/questions/307548/getting-temperature-data-of-given-point-using-modis-lst-data
// map over the image collection and use server side functions
var tempToFahr = landSurfaceTemperature.map(function(image)
var props = image.toDictionary(image.propertyNames());
var Fahr = (image.multiply(0.02).subtract(273.15)).multiply(1.8).add(32);
// Mask where one of Night or day temperature has no data
var FahrMasks = Fahr.updateMask(Fahr.select('LST_Day_1km')).updateMask(Fahr.select('LST_Night_1km'));
// we assume that the night temperature is the min temp, and the day temperature is the max temperature
var meanFahr = FahrMasks.reduce('mean').rename('meanTemp');
// Calculate the GGD and make all the negative values 0 (see: https://en.wikipedia.org/wiki/Growing_degree-day)
var GDD = meanFahr.subtract(52.5).rename('GDD');
var GDDnonNeg = GDD.where(GDD.lt(0), 0).rename('GDDnonNeg');
return ee.Image(Fahr.addBands([meanFahr, GDD, GDDnonNeg]).setMulti(props));
);
// calculate the sum of GGD values
var summed = tempToFahr.select('GDDnonNeg').sum().rename('summedGDD');
var landSurfaceTemperatureVis =
min: 0,
max: 100,
bands: ['LST_Day_1km'],
palette: [
'040274', '040281', '0502a3', '0502b8', '0502ce', '0502e6',
'0602ff', '235cb1', '307ef3', '269db1', '30c8e2', '32d3ef',
'3be285', '3ff38f', '86e26f', '3ae237', 'b5e22e', 'd6e21f',
'fff705', 'ffd611', 'ffb613', 'ff8b13', 'ff6e08', 'ff500d',
'ff0000', 'de0101', 'c21301', 'a71001', '911003'
],
;
Map.setCenter(-85.60371794450282,44.73590436363271, 10);
var temp2011 = summed.filterDate("2011-06-15", "2011-07-15");
var temp2012 = summed.filterDate("2012-06-15", "2012-07-15");
var temp2013 = summed.filterDate("2013-06-15", "2013-07-15");
var temp2014 = summed.filterDate("2014-06-15", "2014-07-15");
var temp2015 = summed.filterDate("2015-06-15", "2015-07-15");
var temp2016 = summed.filterDate("2016-06-15", "2016-07-15");
var total2011 = temp2011.reduce(ee.Reducer.sum());
var total2012 = temp2012.reduce(ee.Reducer.sum());
var total2013 = temp2013.reduce(ee.Reducer.sum());
var total2014 = temp2014.reduce(ee.Reducer.sum());
var total2015 = temp2015.reduce(ee.Reducer.sum());
var total2016 = temp2016.reduce(ee.Reducer.sum());
var final = total2011.add(total2012).add(total2013).add(total2014).add(total2015).add(total2016);
Map.addLayer(final, landSurfaceTemperatureVis,
'Final Layer');
// Export a cloud-optimized GeoTIFF.
Export.image.toDrive(
image: summed,
description: 'imageToCOGeoTiffExample',
scale: 1000,
region: features,
fileFormat: 'GeoTIFF',
formatOptions:
cloudOptimized: true
);
I am returned an error "summed.filterDate is not a function"
What I am trying to do is compile the data between the filter dates and then sum the outputs into one final layer. I have been able to successfully perform this task with precipitation, but not temperature. Any ideas?
google-earth-engine
edited Apr 9 at 22:03
PolyGeo♦
54k1782246
asked Apr 9 at 17:58
Joey RosesJoey Roses
176
.filterDate()is applied to imageCollections. You used a reducer to create the imagesummed, which cannot be filtered by date since it's only one image.
– JepsonNomad
Apr 9 at 18:09
You're totally right. The other products i used to calculate precipitation did not require to perform those initial calculations / conversions. So the question becomes: how would I sum each filtered date range into an a converted image, which could be later summed?
– Joey Roses
Apr 9 at 18:47
You can useImage.add(Image2)but I'm not sure why you would want to sum temperatures unless you're doing growing degree days or something, which doesn't seem to be the case here.
– JepsonNomad
Apr 9 at 21:18
GDD is precisely what I am looking to analyze here. What I am trying to do is average the GDD outputs over 10 years so I can identify what areas accumulate GDDs versus those that don't - on a 10 year average. As it stands, I was trying to sum all 10 years into an output so you could see the "hotspots", but it might make sense to average them. In any case, I would assume that you have to run each image and filter date through the GDD equation and then have an output for each image. Then sum / average those compiled images. Any ideas about how to structure that?
– Joey Roses
Apr 10 at 15:06
add a comment |
-2
-2
-2
Using this code:
// This function clips images to the ROI feature collection
var clipToCol = function(image)
return image.clip(geometry);
;
var dataset = ee.ImageCollection('MODIS/006/MYD11A1')
.map(clipToCol);
var landSurfaceTemperature = dataset.select(['LST_Day_1km', 'LST_Night_1km']);
// According to: https://gis.stackexchange.com/questions/307548/getting-temperature-data-of-given-point-using-modis-lst-data
// map over the image collection and use server side functions
var tempToFahr = landSurfaceTemperature.map(function(image)
var props = image.toDictionary(image.propertyNames());
var Fahr = (image.multiply(0.02).subtract(273.15)).multiply(1.8).add(32);
// Mask where one of Night or day temperature has no data
var FahrMasks = Fahr.updateMask(Fahr.select('LST_Day_1km')).updateMask(Fahr.select('LST_Night_1km'));
// we assume that the night temperature is the min temp, and the day temperature is the max temperature
var meanFahr = FahrMasks.reduce('mean').rename('meanTemp');
// Calculate the GGD and make all the negative values 0 (see: https://en.wikipedia.org/wiki/Growing_degree-day)
var GDD = meanFahr.subtract(52.5).rename('GDD');
var GDDnonNeg = GDD.where(GDD.lt(0), 0).rename('GDDnonNeg');
return ee.Image(Fahr.addBands([meanFahr, GDD, GDDnonNeg]).setMulti(props));
);
// calculate the sum of GGD values
var summed = tempToFahr.select('GDDnonNeg').sum().rename('summedGDD');
var landSurfaceTemperatureVis =
min: 0,
max: 100,
bands: ['LST_Day_1km'],
palette: [
'040274', '040281', '0502a3', '0502b8', '0502ce', '0502e6',
'0602ff', '235cb1', '307ef3', '269db1', '30c8e2', '32d3ef',
'3be285', '3ff38f', '86e26f', '3ae237', 'b5e22e', 'd6e21f',
'fff705', 'ffd611', 'ffb613', 'ff8b13', 'ff6e08', 'ff500d',
'ff0000', 'de0101', 'c21301', 'a71001', '911003'
],
;
Map.setCenter(-85.60371794450282,44.73590436363271, 10);
var temp2011 = summed.filterDate("2011-06-15", "2011-07-15");
var temp2012 = summed.filterDate("2012-06-15", "2012-07-15");
var temp2013 = summed.filterDate("2013-06-15", "2013-07-15");
var temp2014 = summed.filterDate("2014-06-15", "2014-07-15");
var temp2015 = summed.filterDate("2015-06-15", "2015-07-15");
var temp2016 = summed.filterDate("2016-06-15", "2016-07-15");
var total2011 = temp2011.reduce(ee.Reducer.sum());
var total2012 = temp2012.reduce(ee.Reducer.sum());
var total2013 = temp2013.reduce(ee.Reducer.sum());
var total2014 = temp2014.reduce(ee.Reducer.sum());
var total2015 = temp2015.reduce(ee.Reducer.sum());
var total2016 = temp2016.reduce(ee.Reducer.sum());
var final = total2011.add(total2012).add(total2013).add(total2014).add(total2015).add(total2016);
Map.addLayer(final, landSurfaceTemperatureVis,
'Final Layer');
// Export a cloud-optimized GeoTIFF.
Export.image.toDrive(
image: summed,
description: 'imageToCOGeoTiffExample',
scale: 1000,
region: features,
fileFormat: 'GeoTIFF',
formatOptions:
cloudOptimized: true
);
I am returned an error "summed.filterDate is not a function"
What I am trying to do is compile the data between the filter dates and then sum the outputs into one final layer. I have been able to successfully perform this task with precipitation, but not temperature. Any ideas?
google-earth-engine
edited Apr 9 at 22:03
PolyGeo♦
54k1782246
asked Apr 9 at 17:58
Joey RosesJoey Roses
176
Using this code:
// This function clips images to the ROI feature collection
var clipToCol = function(image)
return image.clip(geometry);
;
var dataset = ee.ImageCollection('MODIS/006/MYD11A1')
.map(clipToCol);
var landSurfaceTemperature = dataset.select(['LST_Day_1km', 'LST_Night_1km']);
// According to: https://gis.stackexchange.com/questions/307548/getting-temperature-data-of-given-point-using-modis-lst-data
// map over the image collection and use server side functions
var tempToFahr = landSurfaceTemperature.map(function(image)
var props = image.toDictionary(image.propertyNames());
var Fahr = (image.multiply(0.02).subtract(273.15)).multiply(1.8).add(32);
// Mask where one of Night or day temperature has no data
var FahrMasks = Fahr.updateMask(Fahr.select('LST_Day_1km')).updateMask(Fahr.select('LST_Night_1km'));
// we assume that the night temperature is the min temp, and the day temperature is the max temperature
var meanFahr = FahrMasks.reduce('mean').rename('meanTemp');
// Calculate the GGD and make all the negative values 0 (see: https://en.wikipedia.org/wiki/Growing_degree-day)
var GDD = meanFahr.subtract(52.5).rename('GDD');
var GDDnonNeg = GDD.where(GDD.lt(0), 0).rename('GDDnonNeg');
return ee.Image(Fahr.addBands([meanFahr, GDD, GDDnonNeg]).setMulti(props));
);
// calculate the sum of GGD values
var summed = tempToFahr.select('GDDnonNeg').sum().rename('summedGDD');
var landSurfaceTemperatureVis =
min: 0,
max: 100,
bands: ['LST_Day_1km'],
palette: [
'040274', '040281', '0502a3', '0502b8', '0502ce', '0502e6',
'0602ff', '235cb1', '307ef3', '269db1', '30c8e2', '32d3ef',
'3be285', '3ff38f', '86e26f', '3ae237', 'b5e22e', 'd6e21f',
'fff705', 'ffd611', 'ffb613', 'ff8b13', 'ff6e08', 'ff500d',
'ff0000', 'de0101', 'c21301', 'a71001', '911003'
],
;
Map.setCenter(-85.60371794450282,44.73590436363271, 10);
var temp2011 = summed.filterDate("2011-06-15", "2011-07-15");
var temp2012 = summed.filterDate("2012-06-15", "2012-07-15");
var temp2013 = summed.filterDate("2013-06-15", "2013-07-15");
var temp2014 = summed.filterDate("2014-06-15", "2014-07-15");
var temp2015 = summed.filterDate("2015-06-15", "2015-07-15");
var temp2016 = summed.filterDate("2016-06-15", "2016-07-15");
var total2011 = temp2011.reduce(ee.Reducer.sum());
var total2012 = temp2012.reduce(ee.Reducer.sum());
var total2013 = temp2013.reduce(ee.Reducer.sum());
var total2014 = temp2014.reduce(ee.Reducer.sum());
var total2015 = temp2015.reduce(ee.Reducer.sum());
var total2016 = temp2016.reduce(ee.Reducer.sum());
var final = total2011.add(total2012).add(total2013).add(total2014).add(total2015).add(total2016);
Map.addLayer(final, landSurfaceTemperatureVis,
'Final Layer');
// Export a cloud-optimized GeoTIFF.
Export.image.toDrive(
image: summed,
description: 'imageToCOGeoTiffExample',
scale: 1000,
region: features,
fileFormat: 'GeoTIFF',
formatOptions:
cloudOptimized: true
);
I am returned an error "summed.filterDate is not a function"
What I am trying to do is compile the data between the filter dates and then sum the outputs into one final layer. I have been able to successfully perform this task with precipitation, but not temperature. Any ideas?
google-earth-engine
google-earth-engine
edited Apr 9 at 22:03
PolyGeo♦
54k1782246
asked Apr 9 at 17:58
Joey RosesJoey Roses
176
edited Apr 9 at 22:03
PolyGeo♦
54k1782246
asked Apr 9 at 17:58
Joey RosesJoey Roses
176
edited Apr 9 at 22:03
PolyGeo♦
54k1782246
edited Apr 9 at 22:03
PolyGeo♦
54k1782246
edited Apr 9 at 22:03
PolyGeo♦
54k1782246
54k1782246
asked Apr 9 at 17:58
Joey RosesJoey Roses
176
asked Apr 9 at 17:58
Joey RosesJoey Roses
176
asked Apr 9 at 17:58
Joey RosesJoey Roses
176
176
.filterDate()is applied to imageCollections. You used a reducer to create the imagesummed, which cannot be filtered by date since it's only one image.
– JepsonNomad
Apr 9 at 18:09
You're totally right. The other products i used to calculate precipitation did not require to perform those initial calculations / conversions. So the question becomes: how would I sum each filtered date range into an a converted image, which could be later summed?
– Joey Roses
Apr 9 at 18:47
You can useImage.add(Image2)but I'm not sure why you would want to sum temperatures unless you're doing growing degree days or something, which doesn't seem to be the case here.
– JepsonNomad
Apr 9 at 21:18
GDD is precisely what I am looking to analyze here. What I am trying to do is average the GDD outputs over 10 years so I can identify what areas accumulate GDDs versus those that don't - on a 10 year average. As it stands, I was trying to sum all 10 years into an output so you could see the "hotspots", but it might make sense to average them. In any case, I would assume that you have to run each image and filter date through the GDD equation and then have an output for each image. Then sum / average those compiled images. Any ideas about how to structure that?
– Joey Roses
Apr 10 at 15:06
add a comment |
.filterDate()is applied to imageCollections. You used a reducer to create the imagesummed, which cannot be filtered by date since it's only one image.
– JepsonNomad
Apr 9 at 18:09
You're totally right. The other products i used to calculate precipitation did not require to perform those initial calculations / conversions. So the question becomes: how would I sum each filtered date range into an a converted image, which could be later summed?
– Joey Roses
Apr 9 at 18:47
You can useImage.add(Image2)but I'm not sure why you would want to sum temperatures unless you're doing growing degree days or something, which doesn't seem to be the case here.
– JepsonNomad
Apr 9 at 21:18
GDD is precisely what I am looking to analyze here. What I am trying to do is average the GDD outputs over 10 years so I can identify what areas accumulate GDDs versus those that don't - on a 10 year average. As it stands, I was trying to sum all 10 years into an output so you could see the "hotspots", but it might make sense to average them. In any case, I would assume that you have to run each image and filter date through the GDD equation and then have an output for each image. Then sum / average those compiled images. Any ideas about how to structure that?
– Joey Roses
Apr 10 at 15:06
.filterDate() is applied to imageCollections. You used a reducer to create the image summed, which cannot be filtered by date since it's only one image.– JepsonNomad
Apr 9 at 18:09
.filterDate() is applied to imageCollections. You used a reducer to create the image summed, which cannot be filtered by date since it's only one image.– JepsonNomad
Apr 9 at 18:09
You're totally right. The other products i used to calculate precipitation did not require to perform those initial calculations / conversions. So the question becomes: how would I sum each filtered date range into an a converted image, which could be later summed?
– Joey Roses
Apr 9 at 18:47
You're totally right. The other products i used to calculate precipitation did not require to perform those initial calculations / conversions. So the question becomes: how would I sum each filtered date range into an a converted image, which could be later summed?
– Joey Roses
Apr 9 at 18:47
You can use
Image.add(Image2) but I'm not sure why you would want to sum temperatures unless you're doing growing degree days or something, which doesn't seem to be the case here.– JepsonNomad
Apr 9 at 21:18
You can use
Image.add(Image2) but I'm not sure why you would want to sum temperatures unless you're doing growing degree days or something, which doesn't seem to be the case here.– JepsonNomad
Apr 9 at 21:18
GDD is precisely what I am looking to analyze here. What I am trying to do is average the GDD outputs over 10 years so I can identify what areas accumulate GDDs versus those that don't - on a 10 year average. As it stands, I was trying to sum all 10 years into an output so you could see the "hotspots", but it might make sense to average them. In any case, I would assume that you have to run each image and filter date through the GDD equation and then have an output for each image. Then sum / average those compiled images. Any ideas about how to structure that?
– Joey Roses
Apr 10 at 15:06
GDD is precisely what I am looking to analyze here. What I am trying to do is average the GDD outputs over 10 years so I can identify what areas accumulate GDDs versus those that don't - on a 10 year average. As it stands, I was trying to sum all 10 years into an output so you could see the "hotspots", but it might make sense to average them. In any case, I would assume that you have to run each image and filter date through the GDD equation and then have an output for each image. Then sum / average those compiled images. Any ideas about how to structure that?
– Joey Roses
Apr 10 at 15:06
add a comment |
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.filterDate()is applied to imageCollections. You used a reducer to create the imagesummed, which cannot be filtered by date since it's only one image.– JepsonNomad
Apr 9 at 18:09
You're totally right. The other products i used to calculate precipitation did not require to perform those initial calculations / conversions. So the question becomes: how would I sum each filtered date range into an a converted image, which could be later summed?
– Joey Roses
Apr 9 at 18:47
You can use
Image.add(Image2)but I'm not sure why you would want to sum temperatures unless you're doing growing degree days or something, which doesn't seem to be the case here.– JepsonNomad
Apr 9 at 21:18
GDD is precisely what I am looking to analyze here. What I am trying to do is average the GDD outputs over 10 years so I can identify what areas accumulate GDDs versus those that don't - on a 10 year average. As it stands, I was trying to sum all 10 years into an output so you could see the "hotspots", but it might make sense to average them. In any case, I would assume that you have to run each image and filter date through the GDD equation and then have an output for each image. Then sum / average those compiled images. Any ideas about how to structure that?
– Joey Roses
Apr 10 at 15:06