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  • snowman2 · 1 ✖

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  • Should we make "rasterio" an engine option? · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
642669071 https://github.com/pydata/xarray/issues/4142#issuecomment-642669071 https://api.github.com/repos/pydata/xarray/issues/4142 MDEyOklzc3VlQ29tbWVudDY0MjY2OTA3MQ== snowman2 8699967 2020-06-11T13:54:33Z 2020-06-11T14:05:49Z CONTRIBUTOR

In rioxarray we updated open_rasterio so it opens a tif file like a DataArray and netcdf-like files as a dataset. It also loads in the metadata/tags as well:

NetCDF file as Dataset

python import rioxarray xds = rioxarray.open_rasterio("PLANET_SCOPE_3D.nc") <xarray.Dataset> Dimensions: (time: 2, x: 10, y: 10) Coordinates: * y (y) float64 8.085e+06 8.085e+06 ... 8.085e+06 8.085e+06 * x (x) float64 4.663e+05 4.663e+05 ... 4.663e+05 4.663e+05 * time (time) object 2016-12-19 10:27:29 2016-12-29 12:52:41.659696 spatial_ref int64 0 Data variables: blue (time, y, x) float64 6.611 5.581 0.3996 ... 3.491 5.056 3.368 green (time, y, x) float64 7.921 66.15 30.1 ... 21.76 27.29 18.41 Attributes: coordinates: spatial_ref

GeoTiff as DataArray

python rds = rioxarray.open_rasterio("test_albedo.tif") <xarray.DataArray (band: 1, y: 936, x: 745)> [697320 values with dtype=int8] Coordinates: * band (band) int64 1 * y (y) float64 4.225e+06 4.225e+06 ... 4.216e+06 4.216e+06 * x (x) float64 6.168e+05 6.168e+05 ... 6.242e+05 6.242e+05 spatial_ref int64 0 Attributes: transform: (10.0, 0.0, 616800.0, 0.0, -10.0, 4225260.0) _FillValue: -1.0 scale_factor: 1.0 add_offset: 0.0 long_name: Albedo dry - the estimated ratio of the incident short-wav... grid_mapping: spatial_ref

So, it could be modified to use as an engine in its current state.

 
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   Should we make "rasterio" an engine option? 636493109

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