{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T15:12:46Z","timestamp":1778857966061,"version":"3.51.4"},"reference-count":31,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2022,4,18]],"date-time":"2022-04-18T00:00:00Z","timestamp":1650240000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Sichuan Provincial Department of Natural Resources","award":["510201202076888"],"award-info":[{"award-number":["510201202076888"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The southwest mountainous area of China is one of the areas with the most landslides in the world. In this paper, we used Ya\u2019an City and Garz\u00ea Tibetan Autonomous Prefecture in Sichuan Province as the research areas to explore the identification application effects of large-area potential landslides using synthetic aperture radar (SAR) data with different wavelength types (Sentinel-1, ALOS-2), different processing methods (SBAS-InSAR, Stacking-InSAR), and different geological environmental conditions. The results show the following: (1) The effect of identifying landslides with different slope directions is largely affected by the satellite orbit direction; when we identify landslide hazards across a large area, the joint monitoring mode of ascending and descending orbit data is required. (2) The period of monitoring affects the identification effect of potential landslides when landslide identification is carried out in southwestern China; the InSAR monitoring period is recommended to be more than 2 years. (3) In different geological environmental regions, SBAS technology and Stacking technology have their own advantages; Stacking technology identifies more potential landslides, and SBAS technology identifies potential landslides with higher accuracy; (4) the degree of vegetation coverage has a great impact on the landslide identification effect of different SAR data sources. In low-density vegetation coverage areas, the landslide identification result using Sentinel-1 data seems to be better than the result using ALOS-2 data. In high-density vegetation coverage areas, the landslide identification result using ALOS-2 data is better than that using Sentinel-1 data.<\/jats:p>","DOI":"10.3390\/rs14081952","type":"journal-article","created":{"date-parts":[[2022,4,19]],"date-time":"2022-04-19T02:39:31Z","timestamp":1650335971000},"page":"1952","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Discussion on InSAR Identification Effectivity of Potential Landslides and Factors That Influence the Effectivity"],"prefix":"10.3390","volume":"14","author":[{"given":"Jingtao","family":"Liang","sequence":"first","affiliation":[{"name":"Evaluation and Utilization of Strategic Rare Metals and Rare Earth Resource Key Laboratory of Sichuan Province, Sichuan Geological Survey, Chengdu 610081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jihong","family":"Dong","sequence":"additional","affiliation":[{"name":"Evaluation and Utilization of Strategic Rare Metals and Rare Earth Resource Key Laboratory of Sichuan Province, Sichuan Geological Survey, Chengdu 610081, China"},{"name":"Sichuan Intelligent Geological Big Data Co., Ltd., Chengdu 610081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Su","family":"Zhang","sequence":"additional","affiliation":[{"name":"Evaluation and Utilization of Strategic Rare Metals and Rare Earth Resource Key Laboratory of Sichuan Province, Sichuan Geological Survey, Chengdu 610081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cong","family":"Zhao","sequence":"additional","affiliation":[{"name":"Evaluation and Utilization of Strategic Rare Metals and Rare Earth Resource Key Laboratory of Sichuan Province, Sichuan Geological Survey, Chengdu 610081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Liu","sequence":"additional","affiliation":[{"name":"Evaluation and Utilization of Strategic Rare Metals and Rare Earth Resource Key Laboratory of Sichuan Province, Sichuan Geological Survey, Chengdu 610081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Yang","sequence":"additional","affiliation":[{"name":"Evaluation and Utilization of Strategic Rare Metals and Rare Earth Resource Key Laboratory of Sichuan Province, Sichuan Geological Survey, Chengdu 610081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengwu","family":"Yan","sequence":"additional","affiliation":[{"name":"Evaluation and Utilization of Strategic Rare Metals and Rare Earth Resource Key Laboratory of Sichuan Province, Sichuan Geological Survey, Chengdu 610081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaobo","family":"Ma","sequence":"additional","affiliation":[{"name":"Evaluation and Utilization of Strategic Rare Metals and Rare Earth Resource Key Laboratory of Sichuan Province, Sichuan Geological Survey, Chengdu 610081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2129","DOI":"10.1007\/s10346-017-0907-7","article-title":"Failure mechanism and kinematics of the deadly 24 June 2017 Xinmo landslide, Maoxian, Sichuan, China","volume":"14","author":"Fan","year":"2017","journal-title":"Landslides"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1115","DOI":"10.1007\/s10346-020-01612-2","article-title":"Emergency response to the reactivated Aniangzhai landslide resulting from a rainstorm-triggered debris flow, Sichuan Province, China","volume":"18","author":"Zhao","year":"2021","journal-title":"Landslides"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1397","DOI":"10.1007\/s10346-019-01177-9","article-title":"Insights from the failure and dynamic characteristics of two sequential landslides at Baige village along the Jinsha River, China","volume":"16","author":"Ouyang","year":"2019","journal-title":"Landslides"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1016\/j.scitotenv.2019.03.415","article-title":"The human cost of global warming: Deadly landslides and their triggers (1995\u20132014)","volume":"682","author":"Haque","year":"2019","journal-title":"Sci. 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