Early identification of geological hazards in Shandong areas using Sentinel-1A and SBAS-InSAR

FanQi Meng; Feng Gao; Bo Lin; JinLiang Xu; Wei Niu; HouLu Li

doi:10.1117/12.2667383

10 February 2023 Early identification of geological hazards in Shandong areas using Sentinel-1A and SBAS-InSAR

FanQi Meng, Feng Gao, Bo Lin, JinLiang Xu, Wei Niu, HouLu Li

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125520F (2023) https://doi.org/10.1117/12.2667383
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

Taking the Shandong area as the study area, we use the SBAS-InSAR to process 647 views Sentinel-1A data in Shandong area between 2018.7 and 2020.4 and, according to the deformation amount and trend, reveal the hidden geological disaster points and extract the surface deformation field. In this paper, the areas with obvious ground deformation in Feicheng were selected. We combined with the field survey results, finally verified the combination of high-resolution imagery and DEM has a certain effect in the interpretation of geological disaster points.

Citation Download Citation

FanQi Meng, Feng Gao, Bo Lin, JinLiang Xu, Wei Niu, and HouLu Li "Early identification of geological hazards in Shandong areas using Sentinel-1A and SBAS-InSAR", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125520F (10 February 2023); https://doi.org/10.1117/12.2667383

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KEYWORDS

Deformation

Radar

Interferometric synthetic aperture radar

Tunable filters

Linear filtering

Image processing

Interferograms

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