{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T14:20:35Z","timestamp":1780928435729,"version":"3.54.1"},"reference-count":28,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2024,10,5]],"date-time":"2024-10-05T00:00:00Z","timestamp":1728086400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key Research and Development Program Project","award":["2021YFC3000500"],"award-info":[{"award-number":["2021YFC3000500"]}]},{"name":"National Key Research and Development Program Project","award":["42474054"],"award-info":[{"award-number":["42474054"]}]},{"name":"National Key Research and Development Program Project","award":["42030112"],"award-info":[{"award-number":["42030112"]}]},{"name":"National Key Research and Development Program Project","award":["42201432"],"award-info":[{"award-number":["42201432"]}]},{"name":"National Key Research and Development Program Project","award":["2022RC3042"],"award-info":[{"award-number":["2022RC3042"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2021YFC3000500"],"award-info":[{"award-number":["2021YFC3000500"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42474054"],"award-info":[{"award-number":["42474054"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42030112"],"award-info":[{"award-number":["42030112"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42201432"],"award-info":[{"award-number":["42201432"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2022RC3042"],"award-info":[{"award-number":["2022RC3042"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Innovation Program of Hunan Province","award":["2021YFC3000500"],"award-info":[{"award-number":["2021YFC3000500"]}]},{"name":"Science and Technology Innovation Program of Hunan Province","award":["42474054"],"award-info":[{"award-number":["42474054"]}]},{"name":"Science and Technology Innovation Program of Hunan Province","award":["42030112"],"award-info":[{"award-number":["42030112"]}]},{"name":"Science and Technology Innovation Program of Hunan Province","award":["42201432"],"award-info":[{"award-number":["42201432"]}]},{"name":"Science and Technology Innovation Program of Hunan Province","award":["2022RC3042"],"award-info":[{"award-number":["2022RC3042"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Landslides are the most serious geological disaster in our country, causing economic losses. Because they go undetected, a large number of landslides that have caused disasters are not in the catalogue. At present, Interferometric Synthetic Aperture Radar (InSAR) has been widely used in the identification of landslides. However, it is time-consuming, inefficient, etc., to survey landslides throughout our large country. In the context of massive SAR data, this problem is more obvious. Therefore, based on the current technique of using differential interferogram phase gradient stacking to avoid phase unwrapping errors, a landslide phase gradient dataset has been constructed. To validate the dataset\u2019s effectiveness and applicability, deep learning methods were introduced, applying the dataset to four networks: U-Net, Attention-Unet, Bisenet v2, and Deeplab v3. The results indicate that the phase gradient dataset performs well across different models, with the Attention-Unet network demonstrating the best performance. Specifically, the precision, recall, and accuracy on the test dataset were 0.8771, 0.8712, and 0.9834, respectively, and the accuracy on the validation dataset was 0.8523. Finally, in this paper, the model is applied to landslide identification in Gansu Province, China, during 2022-2023, and a total of 1882 landslides are found. These landslides are mainly concentrated in the south of Gansu Province, where the terrain is relatively undulating. The results show that this method can quickly and accurately realize landslide automatic identification in a wide area and provide technical support for large-scale landslide disaster surveys.<\/jats:p>","DOI":"10.3390\/rs16193711","type":"journal-article","created":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T07:30:18Z","timestamp":1728286218000},"page":"3711","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Automatic Landslide Detection in Gansu, China, Based on InSAR Phase Gradient Stacking and AttU-Net"],"prefix":"10.3390","volume":"16","author":[{"given":"Qian","family":"Sun","sequence":"first","affiliation":[{"name":"College of Geographic Science, Hunan Normal University, Changsha 410081, China"},{"name":"Key Laboratory of Geospatial Big Data Mining and Application, Hunan Normal University, Changsha 410081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cong","family":"Li","sequence":"additional","affiliation":[{"name":"College of Geographic Science, Hunan Normal University, Changsha 410081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Xiong","sequence":"additional","affiliation":[{"name":"College of Geographic Science, Hunan Normal University, Changsha 410081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8470-3405","authenticated-orcid":false,"given":"Rong","family":"Gui","sequence":"additional","affiliation":[{"name":"School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bing","family":"Han","sequence":"additional","affiliation":[{"name":"China Institute of Geo-Environmental Monitoring, Beijing 100081, China"},{"name":"Observation and Research Station of Geological Hazard in Sichuan Ya\u2019an, Ministry of Natural Resources, Ya\u2019an 625000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yilun","family":"Tan","sequence":"additional","affiliation":[{"name":"School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aoqing","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junfeng","family":"Li","sequence":"additional","affiliation":[{"name":"China Institute of Geo-Environmental Monitoring, Beijing 100081, China"},{"name":"Observation and Research Station of Geological Hazard in Sichuan Ya\u2019an, Ministry of Natural Resources, Ya\u2019an 625000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5412-2703","authenticated-orcid":false,"given":"Jun","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.geomorph.2015.03.016","article-title":"Spatial and temporal analysis of a global landslide catalog","volume":"249","author":"Kirschbaum","year":"2015","journal-title":"Geomorphology"},{"key":"ref_2","first-page":"11","article-title":"Slope movement types and processes","volume":"176","author":"Varnes","year":"1978","journal-title":"Spec. 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