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
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DOI: 10.4121/360a8191-db77-42cb-92e1-e80720a875a1
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
Licence MIT
Interoperability
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.ResearchDataFormat
Software files are in a python (ipynb)Associated peer-reviewed publication
Automated Python workflow for generating Sentinel-1 PSI and SBAS interferometric stacks using SNAP on Geospatial Computing PlatformCode hosting project url
https://github.com/AmiraZakii/SNAPWFOrganizations
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"