{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T15:12:44Z","timestamp":1774451564322,"version":"3.50.1"},"reference-count":49,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2024,6,21]],"date-time":"2024-06-21T00:00:00Z","timestamp":1718928000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Yunnan International Joint Laboratory of China\u2013Laos\u2013Bangladesh\u2013Myanmar Natural Resources Remote Sensing Monitoring","award":["202303AP140015"],"award-info":[{"award-number":["202303AP140015"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Geohazards that have developed in densely vegetated alpine gorges exhibit characteristics such as remote occurrence, high concealment, and cascading effects. Utilizing a single remote sensing datum for their identification has limitations, while utilizing multiple remote sensing data obtained based on different sensors can allow comprehensive and accurate identification of geohazards in such areas. This study takes the Latudi River valley, a tributary of the Nujiang River in the Hengduan Mountains, as the research area, and comprehensively uses three techniques of remote sensing: unmanned aerial vehicle (UAV) Light Detection and Ranging (LiDAR), Small Baseline Subset interferometric synthetic aperture radar (SBAS-InSAR), and UAV optical remote sensing. These techniques are applied to comprehensively identify and analyze landslides, rockfalls, and debris flows in the valley. The results show that a total of 32 geohazards were identified, including 18 landslides, 8 rockfalls, and 6 debris flows. These hazards are distributed along the banks of the Latudi River, significantly influenced by rainfall and distribution of water systems, with deformation variables fluctuating with rainfall. The three types of geohazards cause cascading disasters, and exhibit different characteristics in the 0.5 m resolution hillshade map extracted from LiDAR data. UAV LiDAR has advantages in densely vegetated alpine gorges: after the selection of suitable filtering algorithms and parameters of the point cloud, it can obtain detailed terrain and geomorphological information on geohazards. The different remote sensing technologies used in this study can mutually confirm and complement each other, enhancing the capability to identify geohazards and their associated hazard cascades in densely vegetated alpine gorges, thereby providing valuable references for government departments in disaster prevention and reduction work.<\/jats:p>","DOI":"10.3390\/s24134057","type":"journal-article","created":{"date-parts":[[2024,6,21]],"date-time":"2024-06-21T12:27:33Z","timestamp":1718972853000},"page":"4057","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Identification and Analysis of the Geohazards Located in an Alpine Valley Based on Multi-Source Remote Sensing Data"],"prefix":"10.3390","volume":"24","author":[{"given":"Yonglin","family":"Yang","sequence":"first","affiliation":[{"name":"Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China"},{"name":"Kunming Survey, Design and Research Institute Co., Ltd., China Railway Eryuan Engineering Group Co., Ltd. (CREEC), Kunming 650200, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhifang","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Earth Sciences, Yunnan University, Kunming 650500, China"},{"name":"Engineering Research Center of Domestic High-Resolution Satellite Remote Sensing Geology for Universities of Yunnan Province, Kunming 650500, China"},{"name":"Yunnan International Joint Laboratory of China-Laos-Bangladesh-Myanmar Natural Resources Remote Sensing Monitoring, Kunming 650051, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dingyi","family":"Zhou","sequence":"additional","affiliation":[{"name":"Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China"},{"name":"Engineering Research Center of Domestic High-Resolution Satellite Remote Sensing Geology for Universities of Yunnan Province, Kunming 650500, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhibin","family":"Lai","sequence":"additional","affiliation":[{"name":"School of Earth Sciences, Yunnan University, Kunming 650500, China"},{"name":"Engineering Research Center of Domestic High-Resolution Satellite Remote Sensing Geology for Universities of Yunnan Province, Kunming 650500, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kangtai","family":"Chang","sequence":"additional","affiliation":[{"name":"Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China"},{"name":"Engineering Research Center of Domestic High-Resolution Satellite Remote Sensing Geology for Universities of Yunnan Province, Kunming 650500, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Fu","sequence":"additional","affiliation":[{"name":"Yunnan Institute of Geological Science, Kunming 650051, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Niu","sequence":"additional","affiliation":[{"name":"Yunnan Institute of Geological Science, Kunming 650051, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"00197","DOI":"10.3389\/feart.2019.00197","article-title":"The State of Remote Sensing Capabilities of Cascading Hazards Over High Mountain Asia","volume":"7","author":"Kirschbaum","year":"2019","journal-title":"Front. 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