Multi-temporal InSAR for Urban Deformation Monitoring: Progress and Challenges
Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) is one of the most powerful Earth observation techniques, especially useful for measuring highly detailed ground deformation over large ground areas. Much research has been carried out to apply MT-InSAR to monitor ground and infrastr...
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| Format: | Article |
| Language: | English |
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China Science Publishing & Media Ltd. (CSPM)
2020-04-01
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| Series: | Leida xuebao |
| Subjects: | |
| Online Access: | http://radars.ie.ac.cn/article/doi/10.12000/JR20037?viewType=HTML |
| _version_ | 1797428108266045440 |
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| author | WU Songbo LE Yongyao ZHANG Lei DING Xiaoli |
| author_facet | WU Songbo LE Yongyao ZHANG Lei DING Xiaoli |
| author_sort | WU Songbo |
| collection | DOAJ |
| description | Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) is one of the most powerful Earth observation techniques, especially useful for measuring highly detailed ground deformation over large ground areas. Much research has been carried out to apply MT-InSAR to monitor ground and infrastructure deformation in urban areas related to land reclamation, underground construction and groundwater extraction. This paper reviews the progress in the research and identifies challenges in applying the technology, including the inconsistency in coherent point identification when different approaches are used, the reliability issue in parameter estimation, difficulty in accurate geolocation of measured points, the one-dimensional line-of-sight nature of InSAR measurements, the inability of making complete measurements over an area due to geometric distortions, especially the shadowing effects, the challenges in processing large SAR datasets, the decrease of the number of coherent points with the increase of the length of SAR time series, and the difficulty in quality control of MT-InSAR results. |
| first_indexed | 2024-03-09T08:54:24Z |
| format | Article |
| id | doaj.art-a189b9dfe2824fb39f4a030e76f006be |
| institution | Directory Open Access Journal |
| issn | 2095-283X 2095-283X |
| language | English |
| last_indexed | 2024-03-09T08:54:24Z |
| publishDate | 2020-04-01 |
| publisher | China Science Publishing & Media Ltd. (CSPM) |
| record_format | Article |
| series | Leida xuebao |
| spelling | doaj.art-a189b9dfe2824fb39f4a030e76f006be2023-12-02T13:39:31ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2095-283X2020-04-019227729410.12000/JR20037Multi-temporal InSAR for Urban Deformation Monitoring: Progress and ChallengesWU Songbo0LE Yongyao1ZHANG Lei2DING Xiaoli3①( Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, KLN, Hong Kong 999077, China)②( Xi'an Engineering Investigation and Design Research Institute of China National Nonferrous Metals Industry Co. Ltd., Xi'an 710000, China)①( Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, KLN, Hong Kong 999077, China)①( Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, KLN, Hong Kong 999077, China)Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) is one of the most powerful Earth observation techniques, especially useful for measuring highly detailed ground deformation over large ground areas. Much research has been carried out to apply MT-InSAR to monitor ground and infrastructure deformation in urban areas related to land reclamation, underground construction and groundwater extraction. This paper reviews the progress in the research and identifies challenges in applying the technology, including the inconsistency in coherent point identification when different approaches are used, the reliability issue in parameter estimation, difficulty in accurate geolocation of measured points, the one-dimensional line-of-sight nature of InSAR measurements, the inability of making complete measurements over an area due to geometric distortions, especially the shadowing effects, the challenges in processing large SAR datasets, the decrease of the number of coherent points with the increase of the length of SAR time series, and the difficulty in quality control of MT-InSAR results.http://radars.ie.ac.cn/article/doi/10.12000/JR20037?viewType=HTMLurban deformationmonitoringmulti-temporal insar |
| spellingShingle | WU Songbo LE Yongyao ZHANG Lei DING Xiaoli Multi-temporal InSAR for Urban Deformation Monitoring: Progress and Challenges Leida xuebao urban deformation monitoring multi-temporal insar |
| title | Multi-temporal InSAR for Urban Deformation Monitoring: Progress and Challenges |
| title_full | Multi-temporal InSAR for Urban Deformation Monitoring: Progress and Challenges |
| title_fullStr | Multi-temporal InSAR for Urban Deformation Monitoring: Progress and Challenges |
| title_full_unstemmed | Multi-temporal InSAR for Urban Deformation Monitoring: Progress and Challenges |
| title_short | Multi-temporal InSAR for Urban Deformation Monitoring: Progress and Challenges |
| title_sort | multi temporal insar for urban deformation monitoring progress and challenges |
| topic | urban deformation monitoring multi-temporal insar |
| url | http://radars.ie.ac.cn/article/doi/10.12000/JR20037?viewType=HTML |
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