This package serves for the preprocessing of high-resolution TerraSAR-X data provided by the German Aerospace Center (DLR) for the ingestion in StaMPS, to process PSI time-series. It is an extension of the Snap2StaMPS_v1 package (https://github.com/mdelgadoblasco/snap2stamps) developed by José Manuel Delgado Blasco and Michael Foumelis in collaboration with A. Hooper at the University of Leeds, to automate the pre-processing of Sentinel-1 SLC data and their preparation for ingestion to StaMPS.
Since both packages serve for the same purpose, the functionality of Snap2StaMPS was partly overtaken in TSX2StaMPS. The package consists of 6 processing steps, which are listed below:
- Unpack SAR scenes
- Prepare SAR scenes for preprocessing
- Subsetting
- Coregistration
- Interferogram generation
- Stamps Export
- Python > 3.10.16
- SNAP Version 9
- TerraSAR-X Stripmap Data
Note: This package is part of the Snap2StaMPS_v2 software for the automated preprocessing of Sentinel-1 Topsar and TerraSAR-X Stripmap data, which was presented at the FRINGE conference in September 2023. For further information see the Snap2Stamps repository (https://github.com/mdelgadoblasco/snap2stamps) or the tutorial attached.
[1] Identifying Deformation Drivers in Dam Segments Using Combined X- and C-Band PS Time Series (https://www.mdpi.com/2072-4292/17/15/2629)
[2] Novel Amplitude-based Approach for Reducing Sidelobes in Persistent Scatterer Interferometry Processing using Spatially Variant Apodization (https://www.mdpi.com/1424-8220/26/1/204)