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Program of the MNR Key Laboratory for Geo-Environmental Monitoring of the Great Bay Area","award":["42371462"],"award-info":[{"award-number":["42371462"]}]},{"name":"Open Research Fund Program of the MNR Key Laboratory for Geo-Environmental Monitoring of the Great Bay Area","award":["2023NSFSC1909"],"award-info":[{"award-number":["2023NSFSC1909"]}]},{"name":"Open Research Fund Program of the MNR Key Laboratory for Geo-Environmental Monitoring of the Great Bay Area","award":["2020M673322"],"award-info":[{"award-number":["2020M673322"]}]},{"name":"Open Research Fund Program of the MNR Key Laboratory for Geo-Environmental Monitoring of the Great Bay Area","award":["SKLGP2020Z012"],"award-info":[{"award-number":["SKLGP2020Z012"]}]},{"name":"Open Research Fund Program of the MNR Key Laboratory for Geo-Environmental Monitoring of the Great Bay Area","award":["20220006"],"award-info":[{"award-number":["20220006"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Synthetic aperture radar interferometry (InSAR) has emerged as an effective technique for monitoring potentially unstable landslides and has found widespread application. Nevertheless, in mountainous reservoir regions, the precision of time-series InSAR outcomes is often constrained by topography-dependent atmospheric delay (TDAD) effects. To address this limitation, we propose a novel InSAR time-series method that integrates TDAD correction. This approach employs advanced deep learning algorithms to individually model and mitigate TDAD for each interferogram, thereby enhancing the accuracy of small baseline subset InSAR (SBAS-InSAR) and stacking InSAR time-series analyses. Utilizing Sentinel-1 data, we apply this method to identify potential landslides in the Baihetan reservoir area, located in southwestern China, where we successfully identified 26 potential landslide sites. Comparative experimental results demonstrate a significant reduction (averaging 70% and reaching up to 90%) in phase standard deviation (StdDev) in the corrected interferograms, indicating a marked decrease in phase\u2013topography correlation. Furthermore, the corrected time-series InSAR results effectively remove TDAD signals, leading to clearer displacement boundaries and a remarkable reduction in other spurious displacement signals. Overall, this method efficiently addresses TDAD in time-series InSAR, enabling precise identification of potentially unstable landslides influenced by TDAD, and providing essential technical support for early landslide hazard detection using time-series InSAR.<\/jats:p>","DOI":"10.3390\/rs15225287","type":"journal-article","created":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T03:42:40Z","timestamp":1699501360000},"page":"5287","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Time-Series InSAR with Deep-Learning-Based Topography-Dependent Atmospheric Delay Correction for Potential Landslide Detection"],"prefix":"10.3390","volume":"15","author":[{"given":"Hao","family":"Zhou","sequence":"first","affiliation":[{"name":"College of Earth Science, Chengdu University of Technology, Chengdu 610059, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8989-3113","authenticated-orcid":false,"given":"Keren","family":"Dai","sequence":"additional","affiliation":[{"name":"College of Earth Science, Chengdu University of Technology, Chengdu 610059, China"},{"name":"State Key Laboratory of Geological Disaster Prevention and Geological Environmental Protection, Chengdu University of Technology, Chengdu 610059, China"},{"name":"College of Geological Engineering and Geomatics, Chang\u2019an University, Xi\u2019an 710064, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0579-4797","authenticated-orcid":false,"given":"Xiaochuan","family":"Tang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Cyber Security (Oxford Brookes College), Chengdu University of Technology, Chengdu 610059, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianming","family":"Xiang","sequence":"additional","affiliation":[{"name":"College of Earth Science, Chengdu University of Technology, Chengdu 610059, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rongpeng","family":"Li","sequence":"additional","affiliation":[{"name":"College of Earth Science, Chengdu University of Technology, Chengdu 610059, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingtang","family":"Wu","sequence":"additional","affiliation":[{"name":"Huadong Engineering Corporation Limited, Hangzhou 311122, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yangrui","family":"Peng","sequence":"additional","affiliation":[{"name":"College of Earth Science, Chengdu University of Technology, Chengdu 610059, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8054-7449","authenticated-orcid":false,"given":"Zhenhong","family":"Li","sequence":"additional","affiliation":[{"name":"College of Geological Engineering and Geomatics, Chang\u2019an University, Xi\u2019an 710064, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,11,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"111370","DOI":"10.1016\/j.rse.2019.111370","article-title":"Improved Correction of Seasonal Tropospheric Delay in InSAR Observations for Landslide Deformation Monitoring","volume":"233","author":"Dong","year":"2019","journal-title":"Remote Sens. 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