Add Support for NSIDC SMAP gridded data - L3, L4, L2-Gridded

[D-Auty]

NSIDC SMAP Datasets include:

• SPL4CMDL, SPL4SMAU, SPL4SMGP, SPL4SMLM
• SPl3SMA, SPL3SMAP; SPL3SMP, SPL3SMP_E; SPL3FTA; SPL3FTP, SPL3FTP_E; SPL2SMSP (tiled, gridded)

Issues with Net2Cog appear to be:

• Processing failures lead to an empty list of output files, which leads to the misleading error reported on termination (exception issue already reported)
• Variable Hierarchies are not handled correctly - xarray does not automatically load nested variables.
  • Upgrade Xarray and related library versions
  • Use Xarray.datatree vs. Xarray.dataset, and convert variable selection back to dataset, or work with DataArray directly.
  • (I suspect code should be restructured to handle multi-variables and variable hierarchies together, see below)
• Related to above - CRS & Dimensions should be handled on a per-variable case, per-variable references.
  • e.g., SMAP L3 has xdim and ydim dimension variable names
  • Upgraded xarray and rioxarray/rasterio appear to handle CF conventions well - including SMAP
    • No need to implement add_crs after to_raster in all cases
    • Code currently assumes geographic grid and adds EPSG:4326 CRS
      • this should be special case - only if nc_xarray[var].rio.crs is None
      • and perhaps should have additional logic to verify geographic grid use-cases
        • Dimension standard names are latitude/longitude, and/or units == degrees
  • This will support multiple CRS per data file, use-cases not currently supported (required for SMAP and ICESat-2)
• For generality (but not necessary for SMAP)
  • Dimensions variables must be in data hierarchy, which Datatree honors (inheritance)
but grid-mapping variables may be “up-and-over”, which requires interpreting absolute or possibly relative path references in the CF grid-mapping attribute.
  • RioXarray may already handle this correctly - TBD
  • Other datasets to support (TBD, following is set of collections associated in UAT)
    • TEMPO
    • PREFIRE
    • CERES_EBAF,
    • CPF_CERES_N20_INTERCAL,
    • CLARREO_SIMTEST_L1A
• Support for Multi-variable or "all" variables - ignoring the non-spatial, incompatible variables
  • Reporting conversion successes vs failures is TBD, but may or may not be relevant.