Highlights

  Through BEDI, GDAL Enhancement for ESDIS (GEE) project identified an issue in handling multi-dimensional dataset and made patches. When the GEE team made a pull request after clearing NOSA, GDAL community reviewed the requests and created a new RFC 75 to generalize our patch work further. The RFC was discussed, approved, and fully implemented in GDAL 3.1.

  The large GDAL community now can easily access and transform arbitrary N-dimensional dataset that can be found in netCDF and HDF. The new GDAL 3.1 multidimensional APIs and tools also supports group hierarchy so users can unambiguously extract and subset data.

   This capability is already tested through SDT project and proven to work with a large (32G) granule that resides on AWS S3 like TERRA FUSION sample data.

 RecommendationRecommendation

  Data transformation can be done independently from arcpy or any other Esri software. Using the latest GDAL python or CLI is recommended for transformation if arcpy lacks what the latest GDAL can provide.

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