{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T01:49:39Z","timestamp":1768614579384,"version":"3.49.0"},"reference-count":60,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2020,5,12]],"date-time":"2020-05-12T00:00:00Z","timestamp":1589241600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41807290"],"award-info":[{"award-number":["41807290"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Open foundation of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology","award":["SKLGP2017K019"],"award-info":[{"award-number":["SKLGP2017K019"]}]},{"name":"The Natural Science Foundation of Qinghai Province","award":["2017-ZJ-926Q"],"award-info":[{"award-number":["2017-ZJ-926Q"]}]},{"name":"The Key Research Project of Qinghai Province","award":["2019-0101-ZJC-0001, 2019-ZJ-A10"],"award-info":[{"award-number":["2019-0101-ZJC-0001, 2019-ZJ-A10"]}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["CSC201808635039"],"award-info":[{"award-number":["CSC201808635039"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Identification and classification of landslides is a preliminary and crucial work for landslide risk assessment and hazard mitigation. The exploitation of surface deformation velocity derived from satellite synthetic aperture radar interferometry (InSAR) is a consolidated and suitable procedure for the recognition of active landslides over wide areas. However, the calculated displacement velocity from InSAR is one-dimensional motion along the satellite line of sight (LOS), representing a major hurdle for landslide type and failure mechanism classification. In this paper, different velocity datasets derived from both ascending and descending Sentinel-1 data are employed to analyze the surface ground movement of the Huangshui region (Northwestern China). With global warming, precipitation in the Huangshui region, geologically belonging to the loess basin in the eastern edge of Qing-Tibet Plateau, has been increasing, often triggering a large number of landslides, posing a potential threat to local citizens and natural and anthropic environments. After processing both SAR data geometries, the surface motion was decomposed to obtain the two-dimensional displacements (vertical and horizontal E\u2013W). Thus, a classification criterion of the loess landslide types and failure mode is proposed, according to the analysis of deformation direction, velocities, texture, and topographic characteristics. With the support of high-resolution images acquired by remote sensing and unmanned aerial vehicle (UAV), 14 translational slides, seven rotational slides, and 10 loess flows were recognized in the study area. The derived results may provide solid support for stakeholders to comprehend the hazard of unstable slopes and to undertake specific precautions for moderate and slow slope movements.<\/jats:p>","DOI":"10.3390\/rs12101541","type":"journal-article","created":{"date-parts":[[2020,5,12]],"date-time":"2020-05-12T10:53:55Z","timestamp":1589280835000},"page":"1541","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Regional Recognition and Classification of Active Loess Landslides Using Two-Dimensional Deformation Derived from Sentinel-1 Interferometric Radar Data"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2019-9702","authenticated-orcid":false,"given":"Qingkai","family":"Meng","sequence":"first","affiliation":[{"name":"State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China"},{"name":"Earth Sciences Department, University of Florence, 50121 Florence, Italy"},{"name":"School of Water Resources and Electric Power, Qinghai University, Xining 810016, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4291-4604","authenticated-orcid":false,"given":"Pierluigi","family":"Confuorto","sequence":"additional","affiliation":[{"name":"Earth Sciences Department, University of Florence, 50121 Florence, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1818-3231","authenticated-orcid":false,"given":"Ying","family":"Peng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China"},{"name":"College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Federico","family":"Raspini","sequence":"additional","affiliation":[{"name":"Earth Sciences Department, University of Florence, 50121 Florence, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2724-5641","authenticated-orcid":false,"given":"Silvia","family":"Bianchini","sequence":"additional","affiliation":[{"name":"Earth Sciences Department, University of Florence, 50121 Florence, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2264-5243","authenticated-orcid":false,"given":"Shuai","family":"Han","sequence":"additional","affiliation":[{"name":"School of Water Resources and Electric Power, Qinghai University, Xining 810016, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1205-2230","authenticated-orcid":false,"given":"Haocheng","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Water Resources and Electric Power, Qinghai University, Xining 810016, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8684-7848","authenticated-orcid":false,"given":"Nicola","family":"Casagli","sequence":"additional","affiliation":[{"name":"Earth Sciences Department, University of Florence, 50121 Florence, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,5,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1016\/j.jseaes.2018.11.015","article-title":"Distribution and genetic types of loess landslides in China","volume":"170","author":"Peng","year":"2019","journal-title":"J. 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