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This is possible, but not for any larger number of pixels. Earth Engine will complain. In practice, you almost certainly would be better off exporting your imagery to Google Drive or Google Cloud Stor …

Maybe something like this? def sample_point(point, image): return image \ .select(['annualNPP']) \ .sample( region=point.geometry(), scale=1000, …

You didn't provide a complete, running script. If you'd done that, it certainly would have make it easier to help you. Now, just glancing at your script, I see that you're actually not using the eleva …

The crsTransform argument cannot be the string 'null'. You either leave it out completely, set it to None, or specify a proper value. # Just a collection with 10 random images as a dummy setup collect …

You cannot do that. The algorithm you specify in map() must take exactly one argument. If you want that exact signature of your mask_image function, this is one option: def mask_image(image, fields): …

It seems like the Python API doesn't actually provide a valid default proj value. The docs probaby could use an update to clarify. This works: point0 = ee.Geometry.Point([0,0]) point1 = ee.Geometry.Po …

You have to use the ee.data.createAsset() method, like so: import ee ee.Initialize() ee.data.createAsset({'type': 'ImageCollection'}, 'users/[your-username]/test-folder') Note that the type is diff …

You were not very specific in the output you're looking for. Here's one potential approach you can take, that hopefully gets you closer to where you want to get. Create an image collection for your y …

First, a general note: Always try to avoid getInfo() calls whenever you can. It evaluates the value server-side, and returns a client-side object. This often makes your script significantly slower tha …

As far as I can tell, to implement a server-side, generic, deep equality check between two feature collections would be pretty involved and expensive. Both should have same properties Both should hav …

You can extract the mask from your masked image with ee.Image.mask(). Use that one to determine which pixels to include when you're calculating the area. I'm having a multi-band image, and there's a m …

What Padmanabha said. Arguably, not really much more code in Python than JavaScript. An explicit conversion from String to Number, with the ability to control the formatting, might be a good idea in a …

As far as I know you cannot recurse without using client-side code. A workaround to this is to iterate at least as many times as the depth of your recursion. I'm giving an example how this can be done …

How are you checking which CRS the two images have? To me, both seems to be EPSG: 32631: roi = ee.Geometry.Polygon( [[[3.94, 51.6], [5.3, 51.6], [5.3, 52.15], [3.94, 52.15], [3.94, 51 …

You're incorrectly filtering the dates - the full date is required: .filterDate('2012-01-01','2013-01-01') You can debug such things by printing intermediate results. print(filtered_data.getInfo()) …