Published February 18, 2021 | Version v1
Journal article Open

Sentinel-1 A-DInSAR Approaches to Map and Monitor Ground Displacements

  • 1. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC),
  • 2. Jiangsu Ocean University
  • 3. HEMAV SL/ Universidad Politécnica de Madrid (UPM)/Geological Survey of Spain (IGME
  • 4. Geohazards InSAR Laboratory and Modelling Group (InSARlab)
  • 5. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
  • 6. University of Milan
  • 7. Universitat Politècnica de Catalunya (UPC)

Description

Persistent scatterer interferometry (PSI) is a group of advanced interferometric synthetic aperture radar (SAR) techniques used to measure and monitor terrain deformation. Sentinel-1 has improved the data acquisition throughout and, compared to previous sensors, increased considerably the differential interferometric SAR (DInSAR) and PSI deformation monitoring potential. The low density of persistent scatterer (PS) in non-urban areas is a critical issue in DInSAR and has inspired the development of alternative approaches and refinement of the PS chains. This paper proposes two different and complementary data-driven procedures to obtain terrain deformation maps. These approaches aim to exploit Sentinel-1 highly coherent interferograms and their short revisit time. The first approach, called direct integration (DI), aims at providing a very fast and straightforward approach to screen-wide areas and easily detects active areas. This approach fully exploits the coherent interferograms from consecutive images provided by Sentinel-1, resulting in a very high sampling density. However, it lacks robustness and its usability lays on the operator experience. The second method, called persistent scatterer interferometry geomatics (PSIG) short temporal baseline, provides a constrained application of the PSIG chain, the CTTC approach to the PSI. It uses short temporal baseline interferograms and does not assume any deformation model for point selection. It is also quite a straightforward approach, which improves the performances of the standard PSIG approach, increasing the PS density and providing robust measurements. The effectiveness of the approaches is illustrated through analyses performed on different test sites.

Notes

QGIS.org, 2020. QGIS Geographic Information System. QGIS Association.

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Krishnakumar-2021-Sentinel--a-dinsar-approaches-to-ma-1.pdf

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