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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2 Answers 2


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


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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    – MrXsquared
    Dec 22, 2022 at 13:54

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