Analysis of Groundwater Depletion/Inflation and Freeze–Thaw Cycles in the Northern Urumqi Region with the SBAS Technique and an Adjusted Network of Interferograms
This work investigated the large-scale ground deformations threatening the Northern Urumqi district, China, which are connected to groundwater exploitation and the seasonal freeze–thaw cycles that characterize this frozen region. Ground deformations can be well captured by satellite data using a mul...
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doaj-3cd5fb2265ea43ce88cca602e1ec078d2021-06-01T01:37:57ZengMDPI AGRemote Sensing2072-42922021-05-01132144214410.3390/rs13112144Analysis of Groundwater Depletion/Inflation and Freeze–Thaw Cycles in the Northern Urumqi Region with the SBAS Technique and an Adjusted Network of InterferogramsBaohang Wang0Qin Zhang1Antonio Pepe2Pietro Mastro3Chaoying Zhao4Zhong Lu5Wu Zhu6Chengsheng Yang7Jing Zhang8School of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, ChinaSchool of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, ChinaNational Research Council of Italy, Institute for the Electromagnetic Sensing of the Environment (CNR-IREA), 80124 Napoli, ItalySchool of Engineering, University of Basilicata, 85100 Potenza, ItalySchool of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, ChinaRoy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX 75275, USASchool of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, ChinaSchool of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, ChinaSchool of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, ChinaThis work investigated the large-scale ground deformations threatening the Northern Urumqi district, China, which are connected to groundwater exploitation and the seasonal freeze–thaw cycles that characterize this frozen region. Ground deformations can be well captured by satellite data using a multi-temporal interferometric synthetic aperture radar (Mt-InSAR) approach. The accuracy of the achievable ground deformation products (e.g., mean displacement time series and related ground displacement time series) critically depends on the number and quality of the selected interferograms. This paper presents a straightforward interferogram selection algorithm that can be applied to identify an optimal network of small baseline (SB) interferograms. The selected SB interferograms are then used to produce ground deformation products using the well-known small baseline subset (SBAS) Mt-InSAR algorithm. The developed interferogram selection algorithm (ISA) permits the selection of the group of SB data pairs that minimize the relative error of the mean ground deformation velocity. Experiments were carried out using a group of 102 Sentinel-1B SAR data collected from 12 April 2017 to 29 October 2020. This research study shows that the investigated farmland region is characterized by a maximum ground deformation rate of about 120 mm/year. Periodic groundwater overexploitation, coupled with irrigation and freeze–thaw phases, is also responsible for seasonal (one-year) ground displacement signals, with oscillation amplitudes up to 120 mm in the zones of maximum displacement.https://www.mdpi.com/2072-4292/13/11/2144InSARsmall baselineseasonal ground deformationlinear deformationirrigated farmlandsreservoir safety |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Baohang Wang Qin Zhang Antonio Pepe Pietro Mastro Chaoying Zhao Zhong Lu Wu Zhu Chengsheng Yang Jing Zhang |
spellingShingle |
Baohang Wang Qin Zhang Antonio Pepe Pietro Mastro Chaoying Zhao Zhong Lu Wu Zhu Chengsheng Yang Jing Zhang Analysis of Groundwater Depletion/Inflation and Freeze–Thaw Cycles in the Northern Urumqi Region with the SBAS Technique and an Adjusted Network of Interferograms Remote Sensing InSAR small baseline seasonal ground deformation linear deformation irrigated farmlands reservoir safety |
author_facet |
Baohang Wang Qin Zhang Antonio Pepe Pietro Mastro Chaoying Zhao Zhong Lu Wu Zhu Chengsheng Yang Jing Zhang |
author_sort |
Baohang Wang |
title |
Analysis of Groundwater Depletion/Inflation and Freeze–Thaw Cycles in the Northern Urumqi Region with the SBAS Technique and an Adjusted Network of Interferograms |
title_short |
Analysis of Groundwater Depletion/Inflation and Freeze–Thaw Cycles in the Northern Urumqi Region with the SBAS Technique and an Adjusted Network of Interferograms |
title_full |
Analysis of Groundwater Depletion/Inflation and Freeze–Thaw Cycles in the Northern Urumqi Region with the SBAS Technique and an Adjusted Network of Interferograms |
title_fullStr |
Analysis of Groundwater Depletion/Inflation and Freeze–Thaw Cycles in the Northern Urumqi Region with the SBAS Technique and an Adjusted Network of Interferograms |
title_full_unstemmed |
Analysis of Groundwater Depletion/Inflation and Freeze–Thaw Cycles in the Northern Urumqi Region with the SBAS Technique and an Adjusted Network of Interferograms |
title_sort |
analysis of groundwater depletion/inflation and freeze–thaw cycles in the northern urumqi region with the sbas technique and an adjusted network of interferograms |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2021-05-01 |
description |
This work investigated the large-scale ground deformations threatening the Northern Urumqi district, China, which are connected to groundwater exploitation and the seasonal freeze–thaw cycles that characterize this frozen region. Ground deformations can be well captured by satellite data using a multi-temporal interferometric synthetic aperture radar (Mt-InSAR) approach. The accuracy of the achievable ground deformation products (e.g., mean displacement time series and related ground displacement time series) critically depends on the number and quality of the selected interferograms. This paper presents a straightforward interferogram selection algorithm that can be applied to identify an optimal network of small baseline (SB) interferograms. The selected SB interferograms are then used to produce ground deformation products using the well-known small baseline subset (SBAS) Mt-InSAR algorithm. The developed interferogram selection algorithm (ISA) permits the selection of the group of SB data pairs that minimize the relative error of the mean ground deformation velocity. Experiments were carried out using a group of 102 Sentinel-1B SAR data collected from 12 April 2017 to 29 October 2020. This research study shows that the investigated farmland region is characterized by a maximum ground deformation rate of about 120 mm/year. Periodic groundwater overexploitation, coupled with irrigation and freeze–thaw phases, is also responsible for seasonal (one-year) ground displacement signals, with oscillation amplitudes up to 120 mm in the zones of maximum displacement. |
topic |
InSAR small baseline seasonal ground deformation linear deformation irrigated farmlands reservoir safety |
url |
https://www.mdpi.com/2072-4292/13/11/2144 |
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