StaMPS-PyRefactor v0.20

StaMPS-PyRefactor v0.20 adds the first validated Small Baseline (SBAS) workflow support on top of the existing PS-InSAR Python refactor.

Highlights

• Added SLC-native Small Baseline pair definition with define_sb_pairs.py.
• Added split SB preprocessing support in prep_isce.py, including SB candidate preparation without immediate phase extraction.
• Added build_sb_phase.py to build wrapped SB phase samples from co-registered ISCE2 SLC pairs and write Python-native Step-1 HDF5 products.
• Extended Step 1-8 processing paths for SB projects, including SB-aware merge, unwrapping, SCLA/SCN handling, and export behavior.
• Updated GeoPackage/Shapefile export so SB time series can be exported through the Python pipeline.
• Expanded README and operation manual with the recommended Small Baseline workflow and command examples.
• Added a synthetic regression check for split SB preparation plus SLC-native SB phase building.

Validation

• Syntax checks passed for the modified Python modules and new SB scripts.
• stamps_python/tests/prep_isce_sb_split_check.py passed on the synthetic ISCE2 SB fixture.
• git diff --check passed, with only local LF/CRLF conversion warnings from Git on Windows.

Known limitations

• SBAS support is now available, but broader numerical equivalence against every MATLAB StaMPS SB branch still needs more datasets.
• TRAIN/tropospheric correction integrations remain outside this release.
• The project is still a development refactor, not a packaged Python distribution.

This project is an independent GPL-3.0 refactor and is not the official StaMPS distribution.

StaMPS-PyRefactor v0.10

StaMPS-PyRefactor v0.10 is the first public development release of the Python refactor of the StaMPS PS-InSAR workflow.

Highlights

• Python implementation of the PS-InSAR processing chain from Step 1 through Step 8.
• Direct preprocessing of ISCE2 SLC stack outputs with prep_isce.py.
• Python-native HDF5 intermediate products and JSON parameter files.
• SNAPHU integration for phase unwrapping.
• Improved Step 6 grid construction, Goldstein filtering, look-angle error estimation, and 3D_FULL unwrapping behavior.
• Deramped velocity and displacement time-series export.
• GeoPackage output by default, with Shapefile output retained as an option.
• Windows-focused validation with cross-platform Python code paths.

Validation

• The full PS-InSAR chain has been run through Step 8 on real ISCE2 SLC stack data.
• ISCE2 metadata bootstrap and candidate preparation have been validated without requiring MATLAB parameter files.
• Synthetic regression checks cover small-baseline preparation and core Step 6 grid/unwrapping behavior.

Known limitations

• The Small Baseline workflow is not yet fully validated end to end.
• TRAIN/tropospheric correction integrations are not ported end to end.
• Numerical equivalence with every MATLAB StaMPS branch and optional mode is still being validated.
• The project is not yet packaged as an installable Python distribution.

This project is an independent GPL-3.0 refactor and is not the official StaMPS distribution.