- look for scenes intersecting an AOI between 2 dates
- group scenes by orbit and footprint (InSAR processing will be only performed for fully overlapping scenes)
- produce a geo dataframe with scenes that can be displayed on a map to help the user visualizing the different products
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use a pre-defined graph (one subswath and polarization)
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simple version: takes master and slave assuming they are from the same orbit / slice
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polarization list
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return one file per polarization
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more complex version: takes a dataframe of filenames and use the groups for coherence / ifgs
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allow processing burst subsets
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change operation order (split before apply orbit)
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add interferogam option
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allow groupByWorkers processing
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geocode independently all IW, stitch in the end with rasterio
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improved coregistration (ESD, etc)
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make graph more generic by adding placeholders
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Speckle filtering
- for parameter estimation (would need covariance)
- for visualization -- channels could be addressed independently
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Split graphs into smaller chunks.
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add more parameters, think of a convenient way of doing it (class?)
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slice assembly (post-process with rio)
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goldstein filter (optional)
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gpt options (?)
- Optional: apply Sen2Cor on L1C products
- Test:
- L2A processing
- Baseline < 4
- plot raster on top of folium map, use tile server
- make HSV composites with phase / coherence / intensity