PSInSAR using PySAR

877 views
Skip to first unread message

Andre Theron

unread,
Dec 13, 2018, 5:38:34 AM12/13/18
to PySAR
I need to run some kind of persistent scatterer processing and have given up on using Stamps (matlab issues)

Is this software capable ?

Is there another python implementation that would be better?

I am keen to adapt the code for different needs...

Yunjun Zhang

unread,
Dec 17, 2018, 11:56:31 AM12/17/18
to PySAR
Hi Andre,

Sorry for the late response, I just come back from the AGU meeting. Regards to your question, no, the current PySAR is for SBAS algorithms only, which usually have lower spatial resolution than PSInSAR algorithms. Sara Mirzaee in our group in Miami is developing a SqueeSAR-like code in python and will open it in the future. I don't have an exact timeline for it.

Except for StaMPS, I am not aware of other open-source code for PSInSAR. Here is a summary of SAR/InSAR code available in the community:


Yunjun

Russell Grew

unread,
Jun 9, 2022, 6:38:03 PM6/9/22
to MintPy
Hi Yunjun, everyone,

Do you know of any updates in this space?

I see https://github.com/geodesymiami/rsmas_insar/wiki/Big-Ideas speaks about "SqueeSAR for PySAR".

If MintPy has evolved to accommodate PSInSAR it would be helpful to know recommended configuration.

Many thanks.

Zhang Yunjun

unread,
Jun 10, 2022, 9:16:30 PM6/10/22
to MintPy
Hi Russell,

For the SqueeSAR-like algorithm, please check MiaplPy (https://github.com/insarlab/MiaplPy) or FRInGE (https://github.com/isce-framework/fringe). Both of them have implemented the SqueeSAR algorithm, plus the latest development from DLR for more efficient computation. Their output is compatible with MintPy.

Cheers,
Yunjun

Russell Grew

unread,
Jun 13, 2022, 5:27:48 PM6/13/22
to min...@googlegroups.com
Awesome. Thanks. I was not aware of the insarlab repo.

--
You received this message because you are subscribed to the Google Groups "MintPy" group.
To unsubscribe from this group and stop receiving emails from it, send an email to mintpy+un...@googlegroups.com.
To view this discussion on the web visit https://groups.google.com/d/msgid/mintpy/f59232b5-9c26-49e1-afa2-b7f7f497a55en%40googlegroups.com.
Reply all
Reply to author
Forward
0 new messages