Permanent scatterer radar interferometry as an effective structure deformation monitoring tool over undermined areas

Zach Agioutantis; Joe Robertson; Greg Gollaher; Nathaniel Schaefer; Jhon Silva; Achilleas Tripolitsiotis; Panagiotis Partsinevelos

doi:10.1117/12.2533713

27 June 2019 Permanent scatterer radar interferometry as an effective structure deformation monitoring tool over undermined areas

Zach Agioutantis, Joe Robertson, Greg Gollaher, Nathaniel Schaefer, Jhon Silva, Achilleas Tripolitsiotis, Panagiotis Partsinevelos

Author Affiliations +

Proceedings Volume 11174, Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019); 111741R (2019) https://doi.org/10.1117/12.2533713
Event: Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019), 2019, Paphos, Cyprus

Abstract

This paper discusses the potential of using advanced satellite remote sensing techniques such as radar interferometry for millimeter-accuracy structural health monitoring over abandoned mines. Images covering the broader Springfield, IL, USA area were used to determine the potential of radar interferometry products from several satellite missions (e.g., Sentinel-1) by employing diverse processing techniques. The methodology and results for permanent scatterer interferometric synthetic aperture radar (PS-InSAR) solutions is presented in detail. The vertical movements calculated using PS-InSAR are validated using high precision in-situ surveying measurements. The practical limitations and considerations for utilizing PS-InSAR as an accurate and cost-effective operational procedure for the subsidence insurance industry are presented.

Citation Download Citation

Zach Agioutantis, Joe Robertson, Greg Gollaher, Nathaniel Schaefer, Jhon Silva, Achilleas Tripolitsiotis, and Panagiotis Partsinevelos "Permanent scatterer radar interferometry as an effective structure deformation monitoring tool over undermined areas", Proc. SPIE 11174, Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019), 111741R (27 June 2019); https://doi.org/10.1117/12.2533713

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