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  • rio.crs seems to misbehave with geopandas.to_crs · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
924395904 https://github.com/pydata/xarray/issues/5782#issuecomment-924395904 https://api.github.com/repos/pydata/xarray/issues/5782 IC_kwDOAMm_X843GSmA snowman2 8699967 2021-09-21T21:24:03Z 2021-09-21T21:24:12Z CONTRIBUTOR

xr.open_rasterio() is being used earlier in the pipeline

What issues do you have if you change to use rioxarray.open_rasterio?

 
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   rio.crs seems to misbehave with geopandas.to_crs 991857313
924395141 https://github.com/pydata/xarray/issues/5782#issuecomment-924395141 https://api.github.com/repos/pydata/xarray/issues/5782 IC_kwDOAMm_X843GSaF snowman2 8699967 2021-09-21T21:23:01Z 2021-09-21T21:23:01Z CONTRIBUTOR

This appears to not be an xarray issue since the code uses open_dataset and the rio.crs accessor. The rio.crs accessor is from rioxarray. From what I can tell, the issue has to do with the data is stored in the netCDF file: https://corteva.github.io/rioxarray/stable/getting_started/crs_management.html

My guess is that there is an attribute named crs with the contents +init=EPSG:XXXX. If that is the case, I recommend using rioxarray to do:

python data.rio.write_crs("ESPG:XXXX", inplace=True)

Hopefully this is helpful.

 
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   rio.crs seems to misbehave with geopandas.to_crs 991857313

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