Comments (3)
omad
commented on June 7, 2024
@simonaoliver , can you please look at the list from GDAL and determine which resampling algorithms we need to support. In an effort to have more verifiable tasks to complete.
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woodcockr
commented on June 7, 2024
Would be worth taking a look at pyresample as well https://pyresample.readthedocs.org/en/latest/
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sixy6e
commented on June 7, 2024
As a minimum, I'd say:
Nearest Neighbour
Bilinear
Cubic
Cubic Spline
Nearset is the main one currently in use for ingestion, purely because of the categorical nature of PQ.
rasterio has a method to tap into the GDAL library and perform on a NumPy array. We tapped into it for NBAR processing, https://github.com/GeoscienceAustralia/ga-neo-landsat-processor/blob/develop/gaip/data.py#L391
pyresample looks good, but transpositions will need to occur for 3D data. It does allow blocking in order to reduce memory footprint, but I'm not sure if one still needs the original image in memory in order to process the result,, which would not be ideal.
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