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      Ground Displacement in East Azerbaijan Province, Iran, Revealed by L-band and C-band InSAR Analyses

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          Abstract

          Iran, as a semi-arid and arid country, has a water challenge in the recent decades and underground water extraction has been increased because of improper developments in the agricultural sector. Thus, detection and measurement of ground subsidence in major plains is of great importance for hazard mitigation purposes. In this study, we carried out a time series small baseline subset (SBAS) interferometric synthetic aperture radar (InSAR) analysis of 15 L-band PALSAR-2 images acquired from ascending orbits of the ALOS-2 satellite between 2015 and 2020 to investigate long-term ground displacements in East Azerbaijan Province, Iran. We found that two major parts of the study area (Tabriz and Shabestar plains) are subsiding, where the mean and maximum vertical subsidence rates are −10 and −98 mm/year, respectively. The results revealed that the visible subsidence patterns in the study area are associated with either anthropogenic activities (e.g., underground water usage) or presence of compressible soils along the Tabriz–Shabestar and Tabriz–Azarshahr railways. This implies that infrastructure such as railways and roads is vulnerable if progressive ground subsidence takes over the whole area. The SBAS results deduced from L-band PALSAR-2 data were validated with field observations and compared with C-band Sentinel-1 results for the same period. The C-band Sentinel-1 results showed good agreement with the L-band PALSAR-2 dataset, in which the mean and maximum vertical subsidence rates are −13 and −120 mm/year, respectively. For better visualization of the results, the SBAS InSAR velocity map was down-sampled and principal component analysis (PCA) was performed on ~3600 randomly selected time series of the study area, and the results are presented by two principal components (PC1 and PC2).

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          A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms

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            Guidelines for landslide susceptibility, hazard and risk zoning for land use planning

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              Persistent Scatterer Interferometry: A review

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                03 December 2020
                December 2020
                : 20
                : 23
                : 6913
                Affiliations
                [1 ]Department of Remote Sensing and GIS, University of Tabriz, Tabriz 5166616471, Iran
                [2 ]Institute of Environment, University of Tabriz, Tabriz 5166616471, Iran
                [3 ]Department of Architecture and Building Engineering, Tokyo Institute of Technology, 4259-G3-2 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan; matsuoka.m.ab@ 123456m.titech.ac.jp
                Author notes
                Author information
                https://orcid.org/0000-0002-5645-0188
                https://orcid.org/0000-0003-3061-5754
                Article
                sensors-20-06913
                10.3390/s20236913
                7730240
                33287271
                d85c16ac-098b-48ce-ab3d-2d30c9ee2292
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 11 November 2020
                : 02 December 2020
                Categories
                Article

                Biomedical engineering
                l-band palsar-2,ground subsidence,synthetic aperture radar,east azerbaijan province

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