RS_FromNetCDF

Introduction: Returns a raster geometry representing the given record variable short name from a NetCDF file. This API reads the array data of the record variable in memory along with all its dimensions Since the netCDF format has many variants, the reader might not work for your test case, if that is so, please report this using the public forums.

This API has been tested for netCDF classic (NetCDF 1, 2, 5) and netCDF4/HDF5 files.

This API requires the name of the record variable. It is assumed that a variable of the given name exists, and its last 2 dimensions are 'lat' and 'lon' dimensions respectively.

If this assumption does not hold true for your case, you can choose to pass the lonDimensionName and latDimensionName explicitly.

You can use RS_NetCDFInfo to get the details of the passed netCDF file (variables and its dimensions).

Format 1: RS_FromNetCDF(netCDF: ARRAY[Byte], recordVariableName: String)

Format 2: RS_FromNetCDF(netCDF: ARRAY[Byte], recordVariableName: String, lonDimensionName: String, latDimensionName: String)

Since: v1.5.1

Spark Example:

val df = sedona.read.format("binaryFile").load("/some/path/test.nc")
df = df.withColumn("raster", f.expr("RS_FromNetCDF(content, 'O3')"))

val df = sedona.read.format("binaryFile").load("/some/path/test.nc")
df = df.withColumn("raster", f.expr("RS_FromNetCDF(content, 'O3', 'lon', 'lat')"))