Comments (3)
Sometimes readers could provide the land-sea mask (some level 3 files have them). This could be treated similar to how @pnuu wanted solar zenith angles to work. Meaning they could be automatically generated if they weren't available in the reader.
Also maybe we could consider this a "where" compositor like np.where(condition, a, b)
.
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The "where" compositor sounds like a good idea. It could be used to threshold IR imagery with cloud mask or a threshold and replace those areas with a static background image. This is something that we've had for our public pages [link]. Although I personally don't like them, I still might need to create them...
So, to complement the proposal @mraspaud made, it'd be nice to have a possibility to use external files with the mask, NWC SAF cloud mask/cloud optical thickness or similar other products to create the maskin.
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Hmm, I think the MaskingCompositor
in #1175 actually added the support needed to implement this. Just use a land-water-mask for the conditions and stack few composites to get the desired result.
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Related Issues (20)
- Refactoring the Scene with accessors HOT 1
- geotiff writer fails with dask distributed HOT 2
- Confusing documentation for creating a Scene without a filename or reader HOT 6
- Help about Netcdf Data HOT 6
- cf_writer adds a _FillValue = NaN to coordinate variables HOT 1
- `gpm_imerg` reader not supporting IMERG V07
- Resampling flash_duration fails with a ValueError exception HOT 4
- Unexpected floats when reading LI L2 LFL data HOT 1
- MTG LI data HOT 5
- Typo or wrong syntax in examples setting chunk size - documentation HOT 1
- LI L2 Accumulated products retrieved from archive ("ARC" 10-min files) have faulty reading HOT 2
- Something is wrong with ami_l1b reader HOT 2
- Documentation takes too long to build HOT 5
- Trying to add VIIRS L2 data product to viirs_l2 reader and getting errors HOT 14
- ninjogeotiff writer should write gradient for P mode images
- nwcsaf-geo reader turns uint8 into int64 on numpy 2.0
- Prepare for Satpy 1.0
- NWCSAF GEO images black with numpy 2 HOT 1
- Add the functionality to select single repeat cycles/timesteps for LI L2 accumulated archive (ARC) data
- The `ahi_hsd` reader returns Brightness Temperatures as `float64` HOT 3
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