%0 Computer Program %A Zaki, Amira %A Manzella, Irene %A Meijde, Mark van der %A Girgin, Serkan %A Tanyas, Hakan %A Fadel, Islam %A Chang, Ling %D 2025 %T Code underlying the publication: Automated Python workflow for generating Sentinel-1 PSI and SBAS interferometric stacks using SNAP on Geospatial Computing Platform %U %R 10.4121/360a8191-db77-42cb-92e1-e80720a875a1.v1 %K InSAR %K PSI %K SBAS %K Interferometric Stacks %K Open-Source Tools %X
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
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