We’re using GPT to do some processing on several S1B_IW_GRDH_1SDV_* files. In the last two steps we are subsetting and exporting to NetCDF4-CF. What we see is that subsetting selects the data within the subset area (as defined by a shapefile) and sets everything else to NaNs, which is correct. However, the NetCDF lat/lon extent is still the original image extent, rather than clipping to the bounding box of the shapefile. This results in a huge file when the NetCDF is uncompressed (for use in another software package).
Is there a way to subset and export images in SNAP which really subsets (i.e. reduces the lat/lon range) the data, rather than just changing cells to NaNs?