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Esri's ArcGIS Enterprise is an amazing all-inclusive turn-key solution for NASA Earthdata on cloudin both cloud and on-premise systems.
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.
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Data transformation can be done independently from arcpy or any other without Esri ArcGIS software such as arcpy. Using the latest GDAL python or CLI is recommended for transformation if arcpy lacks what the latest GDAL can provide.
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If MDCS fails, export the input table into CSV and modify header to standardize the key field names - such as StdZ, StdTime. Then, try ArcGIS Pro to create a large mosaic dataset using the CSV file.
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