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The reduceregion tag has no summary.
42 questions
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Which one is generally more computationally- and memory-efficient - ee.reduceRegions or ee.sampleRegions?
For the following hypothetical scenario:
assuming 10000 points (geometry file) with a tileScale of 1 or 2
that are spread across the globe
I'm interesting to appending the ImageCollection bands info ...
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1
answer
75
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Getting max value of an Image efficiently
I have some satellite TIFF assets in my Earth Engine project. Each of the images has a single band and I would like to extract the max value of an image. The images are big worldwide high resolution ...
- 11
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1
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27
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How tiling is processed when passing a geometry file to an image in GEE
In ee.reduceRegions, a geometry file is passed as an argument while in ee.sampleRegions, a FeatureCollection is passed. In both of these functions, assuming that an ImageCollection is loaded without ...
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1
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38
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ReduceRegion for multiple masks and multiple regions in the Google Earth Engine
Per day, I want to compute the average snow cover for different areas (polygons) and different elevation classes (masks). As a result, I want a table with a date per row and the area_elevation combo ...
- 3
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62
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GEE Error: "Unable to transform edge" when using reduceRegion in a function
I have a land cover dataset and a point feature collection, and I am trying to calculate two pieces of information to the feature collection: 1) the mode underlying land cover within a specific buffer ...
- 93
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33
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EEException: User memory limit exceeded eventhough having only 1 Band and reducing it: reduceRegion(ee.Reducer.min(), pointgeometry)
I run this in GoogleColab
I am loading Modis and Landsat data and reproject Landsat to Modis data:
# pip install eemont
import ee
import eemont
# getting modis properties
modis_proj = ee....
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1
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52
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reduceRegion() gives NULL for some small polygons
I have a function that calculates the average rainfall over the first 6 months of the year over a 30 year period. The function receives a geometry, and returns the mean of pixels inside the geometry.
...
- 2,302
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Google Earth Engine JavaScript API reduceRegion vs. reduceRegions computation efficiency
Context
I often need to calculate zonal statistics in the Google Earth Engine JavaScript API across many features in a feature collection. I usually use the reduceRegion() function and map over the ...
- 149
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49
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GEE outputs different number of groups for each year when performing grouped area calculation in GEE
I wrote a function that aims to calculate the pixel area of each of 19 land cover classes within a masked image's area (MODIS burned area). I mapped the function over 20 years of land cover and burn ...
- 93
1
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27
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Mean Copernicus landcover in multiple polygons with reduceRegions
I would like to estimate the average tree cover for each polygon of a Feature Collection, but the code below only returns empty values. I have tried using different Image Collections (like EVI) and ...
- 11
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2
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209
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reduceRegion works but reduceRegions returns null values for all reducer
When using ee.reduceRegions() I try to estimate the mean values of copernicus landcover values within all features in a feature collection I get 'null' as a result for all reducers I have tried (mean,...
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1
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48
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Discrepancy when counting pixels in Google Earth Engine Python API
I have this polygon:
ee.Geometry({
"functionInvocationValue": {
"functionName": "GeometryConstructors.Polygon",
"arguments": {
"coordinates&...
- 1,899
0
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1
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153
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EarthEngine: how to change pyramiding policy to mode for a "sum" reduction?
I am trying to do a simple "area of deforestation per year" computation in GEE, that is, applying a grouped sum reducer of a "year of deforestation" variable coming from the ...
- 2,112
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1
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86
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ReduceRegion not giving GEE data
I'm using reduceRegion on Hyperion data using the GEE Python API. I have a FeatureCollection, where, for each feature, I find the average of the required field for the whole feature, for a single ...
- 41
1
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1
answer
177
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How to map a grouped reducer over a feature collection
I'm working with the Hansen Global Forest Change dataset and following the guide on how to quantify the data. This produces an object showing acres of forest loss for each year (lossyear band values) ...
- 1,613