issue_comments: 196021945

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https://github.com/pydata/xarray/issues/790#issuecomment-196021945 https://api.github.com/repos/pydata/xarray/issues/790 196021945 MDEyOklzc3VlQ29tbWVudDE5NjAyMTk0NQ== 2443309 2016-03-13T19:06:03Z 2016-03-13T19:06:03Z MEMBER

@fmaussion -

As for (1), I like your idea of leaving out the projection of the coordinates. That certainly makes things easier from the perspective of the backend.

A band dimension in (2) seems pretty manageable.

I'm not concerned about the GDAL dependency (3). I would love to see more robust conda support for GDAL but that's another issue. This would be an optional backend, similar to Pynio, which isn't broadly available on conda. We could sort out the CI issues.

So, if we took the simplest approach for implementing a rasterio backend, open_dataset would always return a Dataset with a single unprojected DataArray (name to be determined). The other big question is what to call the dimensions, since that is not explicitly provided in all raster formats.

 
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