Abstract
Abstract. Detecting and mapping subsidence is currently supported by interferometric synthetic aperture radar (InSAR) products. However, several factors, such as band-dependent processing, noise presence, and strong subsidence limit the use of InSAR for assessing differential subsidence, which can lead to ground instability and damage to infrastructure. In this work, we propose an approach for measuring and mapping differential subsidence using InSAR products. We consider synthetic aperture radar (SAR) data availability, data coverage over time and space, and the region's subsidence rates to evaluate the need of post-processing, and only then we interpret the results. We illustrate our approach with two case-examples in Central Mexico, where we process SAR data from the Japanese ALOS (L-band), the German TerraSAR-X (X-band), the Italian COSMO-SkyMed (X-band) and the European Sentinel-1 (C-band) satellites. We find good agreement between our results on differential subsidence and field data of existing faulting and find potential to map yet-to-develop faults.
Highlights
Several locations around the world experience land subsidence due to groundwater extraction (e.g. Gambolati and Teatini, 2015; Semple et al, 2017)
We propose using synthetic aperture radar (SAR) data, a digital elevation model (DEM) from the Shuttle Radar Topography Mission (SRTM) mission, and surface field data when available
The two datasets covering Aguascalientes consist on 34 ALOS PALSAR scenes acquired form August 2007 to March 2011 and six TerraSAR-X acquired from December 2009 and September 2012
Summary
Several locations around the world experience land subsidence due to groundwater extraction (e.g. Gambolati and Teatini, 2015; Semple et al, 2017). Central Mexico alone, has more than twenty urban areas reported as subsiding (Brunori et al, 2015; Cabral-Cano et al, 2008; Chaussard et al, 2017; Pacheco-Martínez et al, 2015). Several factors limit the application and interpretation of InSAR results for differential subsidence mapping, such as data availability, processing particularities, data integration, and signal interpretation in the presence of strong subsidence. We illustrate our approach with two case studies in Central Mexico, which have different subsidence characteristics and different data availability. The ultimate goal of our approach is to share the expertise we have acquired after studying several cases of differential subsidence for expanding its application to other areas with data availability constrains. Solano-Rojas et al.: A multiscale approach for detection and mapping differential subsidence we perform post-processing of the InSAR velocity maps results using subsidence gradient (Cabral-Cano et al, 2008) or band pass filtering (Solano-Rojas, 2018)
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