Assistance Needed: Extracting Values from Product for Model Training

Hi everyone,

I’m currently working on training a model and I need to extract specific values from a product to populate a CSV file for training purposes. The values I’m interested in include ‘vv_mean’, ‘vv_std’, ‘vh_mean’, ‘vh_std’, ‘lia’, ‘ea’, ‘aza’, ‘OID’, ‘pix’, ‘MID’, and ‘RO’.
(lia= local incident angle , ea: Earth Angle , aza: Azimuth Angle , OID: Object ID , pix: no of pixcel , mid : mission id , ro: range offset)

Could anyone offer guidance on how to efficiently extract these values and organize them in a CSV file? Any advice or suggestions would be greatly appreciated.

Thank you!

Sounds like work with QGIS and SNAP. I normally read the raster in QGIS, make point vector layer with centers of the pixels. Then the points are imported in SNAP as vector/mask and there export mask points.