SARvey - survey with SAR

Open-source InSAR time series analysis software developed within the project SAR4Infra. SARvey aims to analyze InSAR displacement time series for engineering applications.

How to cite

If you use SARvey in your research, please cite the following.

1. The paper describing the methodology:

Piter A, Haghshenas Haghighi M, Motagh M (2024). Challenges and Opportunities of Sentinel-1 InSAR for Transport Infrastructure Monitoring. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 92, 609-627.

2. The software itself. Please specify the version you use:

Piter A, Haghshenas Haghighi M, FERN.Lab, Motagh M (2024). SARvey - survey with SAR [version]. Zenodo. https://doi.org/10.5281/zenodo.12544131

3. If you use the PUMA method for unwrapping in your research, please cite the following publication as indicated in the license:

Boykov Y, Kolmogorov V (2004). An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(9):1124–1137, DOI 10.1109/TPAMI.2004.60. Link to paper.

Credits

This software was developed within the project SAR4Infra (2020-2024) with funds of the German Federal Ministry for Digital and Transport. The project consortium consists of the Institute of Photogrammetry and GeoInformation at Leibniz University Hannover, FERN.Lab (innovation and technology transfer lab of the GFZ German Research Centre for Geosciences, Potsdam), Landesamt fuer Vermessung und Geoinformation Schleswig-Holstein, and Landesbetrieb Strassenbau und Verkehr Schleswig-Holstein. The scientific and methodological development was carried out by Andreas Piter (piter@ipi.uni-hannover.de), supervised by Mahmud H. Haghighi (mahmud@ipi.uni-hannover.de) and Mahdi Motagh (motagh@gfz-potsdam.de). The FERN.Lab (fernlab@gfz-potsdam.de) contributed to the development, documentation, continuous integration, and testing of the package.