SARvey - survey with SAR: A new Open-Source InSAR Research Software
Year: 2026
Type: article
Abstract: Monitoring surface deformation with Interferometric Synthetic Aperture Radar (InSAR) time series analysis is essential for various geophysical and engineering applications. We present our new open-source research software SARvey which is tailored, but not limited to engineering applications providing various processing options. It builds upon the packages MintPy and MiaplPy and extends them by full spatial resolution analysis of Point Scatterer (PS) and Distributed Scatterer (DS) pixels with spatiotemporal phase unwrapping of sparse point data. We provide case studies with both medium and high spatial resolution imagery, which demonstrates its performance for several case studies including the displacement analysis of landslide, dam, high-rise buildings and airport infrastructure. The results from SARvey agree with previously published results for the same case studies, processed using other well-established open-source and proprietary InSAR time series software. Our new software contributes to research integrity and reproducibility in the field of InSAR time series analysis. • Free and open-source software for research with InSAR time series analysis. • InSAR time series method tailored to engineering applications. • Performance assessment for sensors with medium and high spatial resolution images. • Demonstration on four case studies for monitoring landslide, dam, high-rise buildings and airport infrastructure.
Authors: Andreas Piter, Mahmud Haghshenas Haghighi, Daniela Rabe, Mahdi Motagh, Johannes Knoch, Romulo Goncalves, Daniel Scheffler, Alison Beamish
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,500
OpenAlex ID: W7160434531