cff-version: 1.2.0
abstract: "<p>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</p>"
authors:
  - family-names: Zaki
    given-names: Amira
    orcid: "https://orcid.org/0000-0001-6254-1548"
  - family-names: Manzella
    given-names: Irene
    orcid: "https://orcid.org/0000-0001-7518-819X"
  - family-names: Meijde
    given-names: Mark van der
    orcid: "https://orcid.org/0000-0002-8762-585X"
  - family-names: Girgin
    given-names: Serkan
    orcid: "https://orcid.org/0000-0002-0156-185X"
  - family-names: Tanyas
    given-names: Hakan
    orcid: "https://orcid.org/Hakan Tanyas"
  - family-names: Fadel
    given-names: Islam
    orcid: "https://orcid.org/0000-0002-0091-8175"
  - family-names: Chang
    given-names: Ling
    orcid: "https://orcid.org/0000-0001-8212-7221"
title: "Code underlying the publication: Automated Python workflow for generating Sentinel-1 PSI and SBAS interferometric stacks using SNAP on Geospatial Computing Platform"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/360a8191-db77-42cb-92e1-e80720a875a1.v1
license: MIT
date-released: 2025-09-04