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Automated pre-processing of Sentinel 1 (satellite radar imagery)
Hello!
I am a newcomer with datacube and, in general, with geospatial data.
I am trying to ingest Sentinel 1 data into Open Data Cube.
I read the documentation, but I still have problems...
I downloaded S1 data from Copernicus portal, the data consists in different folder containing measurements (TIFF format) and metadata (and other information).
The ODC documents that I read said that for the ingestion I need different files:
I am currenctly stuck on the 2), i.e., the yalm metadata file.
Does exist examples of python script or metadata yalm file related to Sentinel 1 data? (if you dont' have for S1, for me it is ok also Sentinel 2 documentation...)
I really appreciate if you could help me!! :D
Thanks
productdef.yaml needs a default crs, otherwise must always specify output_crs/resolution upon datacube.load
Do not wish to auto-download default (3 arc second) DEM.
Instead, wish to use better local DSM (for higher quality product), and with more-appropriate no-data specifications (so that ocean is not masked out).
May be complications depending on file format (e.g. might need to subset DSM, for efficient performance of gpt).
Hello,
I'm unable to run prep.py to create yaml datasets documents for indexing the data.
Can you show me an example of the generated yaml file?
Also, is it possible to create yaml datasets documents from header of ENVI only (.hdr)?
Thank You
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