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I am new to SNAP and Sentinel 1. I am using SNAP for preprocessing of the Sentinel-1 image, however, I am dealing with large S1 datasets so the preprocessing time is long.

Can I export the model to a python script and start preprocessing it in Google collab?

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You cannot directory export it from SNAP, but there are libraries in Python which allow you to easily create and run it.

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You could use high level libraries such as EOReader to pre-process directly your data (with SNAP under the hood):

from eoreader.reader import Reader
from eoreader.bands import VV


# Open the Sentinel-1 product
prod = Reader().open("S1A_IW_GRDH_1SDV_20191215T060906_20191215T060931_030355_0378F7_3696.zip")

# Load VV band
vv_band = prod.load(VV)[VV]

More information on SAR data are available in this notebook.

Disclaimer: I am the maintainer of EOReader.

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    Dec 22, 2022 at 13:54

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