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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Main Authors: Baohang Wang, Qin Zhang, Antonio Pepe, Pietro Mastro, Chaoying Zhao, Zhong Lu, Wu Zhu, Chengsheng Yang, Jing Zhang
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/11/2144
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spelling 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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