Xee does not provide correct data for resampled image

[deepgabani8]

When I use ee.data.computePixels, it returns different data for different resample methods, which it should but fetching data using xee as backend returns the same data.

Using ee.data.computePixels, which gives different data for resample methods = ['bilinear', 'bicubic'].

image = ee.Image(image_id)
image = image.resample('bilinear').reproject(crs=crs, crsTransform=crs_transform)
image = image.clip(
    ee.Geometry.Rectangle(
      [[-180, -90], [-90, -45]],
      None,
      geodesic=False,
  )
)

data = np.load(io.BytesIO(ee.data.computePixels({
    'expression': image,
    'fileFormat': 'NPY',
})))

Using Xee as the backend, which gives the same data for resample methods = ['bilinear', 'bicubic'].

image = ee.Image(image_id)
image = image.resample('bilinear').reproject(crs=crs, crsTransform=crs_transform)
geom = ee.Geometry.Rectangle(
    [[-180, -90], [-90, -45]],
    None,
    geodesic=False,
)

ds = xr.open_dataset(
  ee.ImageCollection([image]), projection = image.projection(), geometry=geom,
  engine=xee.EarthEngineBackendEntrypoint,
)

var = list(ds.data_vars)[0]
data = ds[var].data[0,:,:].T

[mahrsee1997]

Thanks for raising the issue, @deepgabani8.

Just for your information (jfyi), we internally work with asset_ids, so any manipulation made on images like these will not affect the data fetched from EE.

[mahrsee1997]

Actually, we have a bug/issue in the codebase: https://github.com/google/Xee/blob/main/xee/ext.py#L789C1-L797C80.

We consider 'asset_ids' at the time of processing, if we can obtain them. And we implemented this to avoid an expensive toList() operation. But it seems like it will cause issue like in your case.

[alxmrs]

This discussion on the Pangeo discourse seems really relevant.

https://discourse.pangeo.io/t/example-which-highlights-the-limitations-of-netcdf-style-coordinates-for-large-geospatial-rasters/4140

@schwehr @simon Any thoughts on how this might be related? Could the discrepancy eventually cause an issue?

[alxmrs]

I think this PR in Xarray may provide a long term fix for this issue.

pydata/xarray#9543

[jdbcode]

#156 may have fixed this – needs verification.

[tylere]

This colab script shows that Xee now produces different results for different resampling methods ('bilinear' and 'bicubic').
https://colab.research.google.com/gist/tylere/3d0548e28d8458b71142007157f8c539/template-xee-issue.ipynb
Given this, I'm closing this issue.