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TitleMultidimensional small baseline subset (MSBAS) for two-dimensional deformation analysis: Case study Mexico City
AuthorSamsonov, S; d'Oreye, N
SourceCanadian Journal of Remote Sensing 2017 p. 1-12, https://doi.org/10.1080/07038992.2017.1344926
Year2017
Alt SeriesEarth Sciences Sector, Contribution Series 20160244
PublisherInforma UK Limited
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
AreaMexico City; Mexico
Subjectsdeformation; subsidence; landslides; earthquakes; remote sensing; mapping techniques; groundwater; Tikhonov regularization
Illustrationsflow charts; tables; location maps; graphs; satellite images
ProgramMethodology, Remote Sensing Science
Released2017 07 05
AbstractTime series of ground deformation are used to describe motion produced by various natural and anthropocentric processes, such as earthquakes, volcanic eruptions, landslides, subsidence due to resource exploitation and uplift due to fluid injection. Conventional Differential Interferometric Synthetic Aperture Radar (DInSAR) produces one-dimensional ascending/descending line-of-sight deformation time series with very high spatial resolution (a few meters or better) but sparse temporal resolution, equal to satellite revisit time (e.g. 6 days for Sentinel-1A/B, 14 days for ALOS-2, and 24 days for RADARSAT-2). Presented here Multidimensional Small Baseline Subset (MSBAS) technique simultaneously processes multiple ascending and descending DInSAR datasets and produces two-dimensional, horizontal east-west and vertical, deformation time series with combined temporal resolution over overlapped area. The set of linear equations that comprises MSBAS is usually rank deficient and is solved in the least-square sense by applying the Singular Value Decomposition (SVD) and the zero, first, or second order Tikhonov regularization. The MSBAS source code is written in C++ and is linked to the Linear Algebra PACKage (LAPACK) library that provides SVD support. For demonstration of capabilities MSBAS is used to compute two-dimensional deformation time series of Mexico City by simultaneously processing ascending and descending RADARSAT-2 data acquired during October 2008 - December 2012. This area is known to subside due to excessive groundwater extraction that produces pore water pressure drop and compaction of highly-compressible clays. During the studied period we observed subsidence with rates over 35 cm/year and horizontal motion of up to 5 cm/year. The MSBAS software can be downloaded from http://insar.ca.
Summary(Plain Language Summary, not published)
We are developing monitoring methodologies for detecting ground deformation in urban environments using satellite radar. In this study we focus on subsidence in Mexico City. Additionally we produced deformation maps of background processes occurring in these regions. During the study period we observed subsidence with rates over 35 cm/year and horizontal motion of up to 5 cm/year. This research may be of interest to other scientists and industry specializing in geotechnical engineering.
GEOSCAN ID299399