Code underlying the publication: Automated Python workflow for generating Sentinel-1 PSI and SBAS interferometric stacks using SNAP on Geospatial Computing Platform

DOI:10.4121/360a8191-db77-42cb-92e1-e80720a875a1.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/360a8191-db77-42cb-92e1-e80720a875a1

Datacite citation style

Zaki, Amira; Manzella, Irene; Meijde, Mark van der; Girgin, Serkan; Tanyas, Hakan et. al. (2025): Code underlying the publication: Automated Python workflow for generating Sentinel-1 PSI and SBAS interferometric stacks using SNAP on Geospatial Computing Platform. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/360a8191-db77-42cb-92e1-e80720a875a1.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

We introduce an automated Python workflow, SNAPWF, using SNAP-ESA that enables efficient PSI and SBAS InSAR interferometric time series stacks generation using flexible network graphs. The new workflow has been implemented on a dedicated geospatial computing platform, enabling efficient performance over large areas

History

  • 2025-09-04 first online, published, posted

Publisher

4TU.ResearchData

Format

Software files are in a python (ipynb)

Code hosting project url

https://github.com/AmiraZakii/SNAPWF

Organizations

University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Department of Applied Earth Sciences (ITC-AES), Enschede, the Netherlands.

To access the source code, use the following command:

git clone https://data.4tu.nl/v3/datasets/d4574db9-d365-4f9f-856f-9e609fa2e540.git "SNAPWF"

Or download the latest commit as a ZIP.