1 December 2014 Preparation of a national Copernicus service for detection and monitoring of land subsidence and mass movements in the context of remote sensing assisted hazard mitigation
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Abstract
Land subsidence can cause severe damage for e.g. infrastructure and buildings and mass movements even can lead to loss of live. Detection and monitoring of these processes by terrestrial measurement techniques remain a challenge due to limitations in spatial coverage and temporal resolution. Since the launch of ERS-1 in 1991 numerous scientific studies demonstrated the capability of differential SAR-Interferometry (DInSAR) for the detection of surface deformation proving the usability of this method. In order to assist the utilization of DInSAR for governmental tasks a national service-concept within the EU-ESA Program “Copernicus” is in the process of preparation. This is done by i) analyzing the user requirements, ii) developing a concept and iii) perform case studies as “proof of concept”. Due to the iterative nature of this procedure governmental users as well as DInSAR experts are involved. This paper introduces the concept, shows the available SAR data archive from ERS-1/2, TerraSAR-X and TanDEM-X as well as the proposed case study. The case study is focusing on the application of advanced DInSAR methods for the detection of subsidence in a region with active gas extraction. The area of interest is located in the state of Lower Saxony in the northwest of Germany. The DInSAR analysis will be based on ERS-1/2 and on TerraSARX/ TanDEM-X SAR data. The usability of the DInSAR products will be discussed with the responsible mining authority (LBEG) in order to adapt the DInSAR products to the user needs and to evaluate the proposed concept.
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Andre Cahyadi Kalia, Michaela Frei, Thomas Lege, "Preparation of a national Copernicus service for detection and monitoring of land subsidence and mass movements in the context of remote sensing assisted hazard mitigation", Proc. SPIE 9245, Earth Resources and Environmental Remote Sensing/GIS Applications V, 924508 (1 December 2014); doi: 10.1117/12.2067268; https://doi.org/10.1117/12.2067268
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