{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T02:14:49Z","timestamp":1778811289846,"version":"3.51.4"},"reference-count":40,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2024,2,8]],"date-time":"2024-02-08T00:00:00Z","timestamp":1707350400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012401","name":"Beijing Science and Technology Plan Project","doi-asserted-by":"publisher","award":["Z231100003823035"],"award-info":[{"award-number":["Z231100003823035"]}],"id":[{"id":"10.13039\/501100012401","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012401","name":"Beijing Science and Technology Plan Project","doi-asserted-by":"publisher","award":["2023-JBKY-57"],"award-info":[{"award-number":["2023-JBKY-57"]}],"id":[{"id":"10.13039\/501100012401","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Institute of Natural Hazards, Ministry of Emergency Management of China","award":["Z231100003823035"],"award-info":[{"award-number":["Z231100003823035"]}]},{"name":"National Institute of Natural Hazards, Ministry of Emergency Management of China","award":["2023-JBKY-57"],"award-info":[{"award-number":["2023-JBKY-57"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>China boasts a vast expanse of mountainous terrain, characterized by intricate geological conditions and structural features, resulting in frequent geological disasters. Among these, landslides, as prototypical geological hazards, pose significant threats to both lives and property. Consequently, conducting a comprehensive landslide inventory in mountainous regions is imperative for current research. This study concentrates on the Yinshan Mountains, an ancient fault-block mountain range spanning east\u2013west in the central Inner Mongolia Autonomous Region, extending from Langshan Mountains in the west to Damaqun Mountains in the east, with the narrow sense Xiao\u2013Yin Mountains District in between. Employing multi-temporal high-resolution remote sensing images from Google Earth, this study conducted visual interpretation, identifying 10,968 landslides in the Yinshan area, encompassing a total area of 308.94 km2. The largest landslide occupies 2.95 km2, while the smallest covers 84.47 m2. Specifically, the Langshan area comprises 331 landslides with a total area of 11.96 km2, the narrow sense Xiao\u2013Yin Mountains include 3393 landslides covering 64.13 km2, and the Manhan Mountains, Damaqun Mountains, and adjacent areas account for 7244 landslides over a total area of 232.85 km2. This research not only contributes to global landslide cataloging initiatives but also serves as a robust foundation for future geohazard prevention and management efforts.<\/jats:p>","DOI":"10.3390\/data9020031","type":"journal-article","created":{"date-parts":[[2024,2,8]],"date-time":"2024-02-08T03:36:17Z","timestamp":1707363377000},"page":"31","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["The Yinshan Mountains Record over 10,000 Landslides"],"prefix":"10.3390","volume":"9","author":[{"given":"Jingjing","family":"Sun","sequence":"first","affiliation":[{"name":"School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China"},{"name":"National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3956-4925","authenticated-orcid":false,"given":"Chong","family":"Xu","sequence":"additional","affiliation":[{"name":"National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China"},{"name":"Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing 100085, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liye","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China"},{"name":"National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuewei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China"},{"name":"National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7253-7814","authenticated-orcid":false,"given":"Wentao","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,8]]},"reference":[{"key":"ref_1","first-page":"145","article-title":"Deformation and failure behavior and intrinsic mechanism of landslides","volume":"20","author":"Xu","year":"2012","journal-title":"J. Eng. Geol."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Li, L., Xu, C., Yang, Z., Zhang, Z., and Lv, M. (2022). An Inventory of Large-Scale Landslides in Baoji City, Shaanxi Province, China. Data, 7.","DOI":"10.3390\/data7080114"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"100181","DOI":"10.1016\/j.eqrea.2022.100181","article-title":"An open-accessed inventory of landslides triggered by the MS 6.8 Luding earthquake, China on September 5, 2022","volume":"3","author":"Huang","year":"2023","journal-title":"Earthq. Res. Adv."},{"key":"ref_4","first-page":"15","article-title":"Map of landslides triggered by the January 12, 2010, Haiti earthquake","volume":"3353","author":"Harp","year":"2016","journal-title":"US Geol. Surv. Sci. Invest. Map."},{"key":"ref_5","first-page":"103504","article-title":"The world\u2019s second-largest, recorded landslide event: Lessons learnt from the landslides triggered during and after the 2018 Mw 7.5 Papua New Guinea earthquake","volume":"297","author":"Hill","year":"2022","journal-title":"Eng. Geol."},{"key":"ref_6","unstructured":"Kavzoglu, T., Colkesen, I., and Sahin, E.K. (2019). Landslides: Theory, Practice and Modelling, Springer."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1007\/s10346-011-0299-z","article-title":"Statistical modelling of Europe-wide landslide susceptibility using limited landslide inventory data","volume":"9","author":"Jaedicke","year":"2012","journal-title":"Landslides"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"203","DOI":"10.2113\/10.3.203","article-title":"An inventory-based approach to landslide susceptibility assessment and its application to the Virginio River Basin, Italy","volume":"10","author":"Casagli","year":"2004","journal-title":"Environ. Eng. Geosci."},{"key":"ref_9","unstructured":"Herv\u00e1s, J., and Bobrowsky, P. (2009). Landslides\u2013Disaster Risk Reduction, Springer."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"507","DOI":"10.5194\/nhess-9-507-2009","article-title":"Combined landslide inventory and susceptibility assessment based on different mapping units: An example from the Flemish Ardennes, Belgium","volume":"9","author":"Reichenbach","year":"2009","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.scitotenv.2017.02.188","article-title":"Mapping landslide susceptibility using data-driven methods","volume":"589","author":"Pereira","year":"2017","journal-title":"Sci Total Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.enggeo.2008.03.010","article-title":"Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview","volume":"102","author":"Van","year":"2008","journal-title":"Eng. Geol."},{"key":"ref_13","unstructured":"Bao, S., Bao, W., and Bao, Y. (2014). Information Technology in Risk Analysis and Crisis Response, Proceedings of the Sixth Annual Meeting of the Risk Analysis Professional Committee of the China Disaster Prevention Association, Atlantis Press."},{"key":"ref_14","unstructured":"Nan, X., Li, A., and Deng, W. (2024, January 05). Data Set of \u201cDigital Mountain Map of China\u201d. A Big Earth Data Platform for Three Poles. Available online: https:\/\/data.tpdc.ac.cn\/en\/data\/efa1dc3f-5f2d-4e60-8bf7-3ea4c6ec1929\/."},{"key":"ref_15","first-page":"253","article-title":"Overview of plants resources in Yinshan Mountain range and Its achievements","volume":"20","author":"Zhang","year":"2018","journal-title":"Mod. Chin. Med."},{"key":"ref_16","first-page":"314","article-title":"The region gravity and magnetic anomaly fields and the deep structure in Yinshan mountains of Inner Mongolia Chinese","volume":"48","author":"Wang","year":"2005","journal-title":"J.Geophys."},{"key":"ref_17","first-page":"66","article-title":"Analysis on relationship between geological hazards and geological environment in Inner Mongolia autonomous region","volume":"28","author":"Hou","year":"2013","journal-title":"J. Catastrophol."},{"key":"ref_18","unstructured":"Deng, W., Li, A., Nan, X., Chen, Y., and Liao, K. (2015). China Digital Mountain Map, China Map Publishing House."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1016\/j.jseaes.2010.04.010","article-title":"Spatial distribution of landslides triggered by the 2008 Ms 8.0 Wenchuan earthquake, China","volume":"40","author":"Dai","year":"2011","journal-title":"China J. Asian Earth Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1007\/s10346-018-1069-y","article-title":"Visual interpretation of stereoscopic NDVI satellite images to map rainfall-induced landslides","volume":"16","author":"Fiorucci","year":"2019","journal-title":"Landslides"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"3715","DOI":"10.1007\/s10346-021-01756-9","article-title":"Efficient and automatic extraction of slope units based on multi-scale segmentation method for landslide assessments","volume":"18","author":"Huang","year":"2021","journal-title":"Landslides"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Liu, P., Wei, Y., Wang, Q., Xie, J., Chen, Y., Li, Z., and Zhou, H. (2021). A research on landslides automatic extraction model based on the improved mask R-CNN. ISPRS Int. J. Geo-Inf., 10.","DOI":"10.3390\/ijgi10030168"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.geomorph.2011.01.013","article-title":"Seasonal landslide mapping and estimation of landslide mobilization rates using aerial and satellite images","volume":"129","author":"Fiorucci","year":"2011","journal-title":"Geomorphology"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2389","DOI":"10.3390\/rs5052389","article-title":"Automatic extraction and size distribution of landslides in Kurdistan region, NE Iraq","volume":"5","author":"Othman","year":"2013","journal-title":"Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2247","DOI":"10.1080\/01431161.2014.890760","article-title":"A method aimed at automatic landslide extraction based on background values of satellite imagery","volume":"35","author":"Yang","year":"2014","journal-title":"Int. J. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Liu, P., Wei, Y., Wang, Q., Chen, Y., and Xie, J. (2020). Research on post-earthquake landslide extraction algorithm based on improved U-Net model. Remote Sens., 12.","DOI":"10.3390\/rs12050894"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"3833","DOI":"10.1007\/s10346-021-01735-0","article-title":"Co-seismic landslide detection after M 7.4 earthquake on June 23, 2020, in Oaxaca, Mexico, based on rapid mapping method using high and medium resolution synthetic aperture radar (SAR) images","volume":"18","author":"Hernandez","year":"2021","journal-title":"Landslides"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"e24787","DOI":"10.1016\/j.heliyon.2024.e24787","article-title":"An essential update on the inventory of landslides triggered by the Jiuzhaigou Mw6. 5 earthquake in China on 8 August 2017, with their spatial distribution analyses","volume":"10","author":"Sun","year":"2024","journal-title":"Heliyon"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1007\/s11069-018-3543-1","article-title":"Landslide features identification and morphology investigation using high-resolution DEM derivatives","volume":"96","author":"Pawluszek","year":"2019","journal-title":"Nat. Hazards"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1080\/17445647.2014.949313","article-title":"Landslide inventory map of the upper Sinni River valley, Southern Italy","volume":"11","author":"Santangelo","year":"2015","journal-title":"J. Maps."},{"key":"ref_31","unstructured":"Wati, S., Hastuti, T., Widjojo, S., and Pinem, F. (2010). Landslide susceptibility mapping with heuristic approach in mountainous area: A case study in Tawangmangu sub district Central Java, Indonesia. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., 38, Available online: https:\/\/www.isprs.org\/PROCEEDINGS\/XXXVIII\/part8\/pdf\/W01P04_20100312174755.pdf."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Huang, Y., Xu, C., Li, L., He, X., Cheng, J., Xu, X., Li, J., and Zhang, X. (2022). Inventory and spatial distribution of ancient Landslides in Hualong County, China. Land, 12.","DOI":"10.3390\/land12010136"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Shao, X., Xu, C., Li, L., Yang, Z., Yao, X., Shao, B., Liang, C., Xue, Z., and Xu, X. (2023). Spatial analysis and hazard assessment of Large-scale ancient landslides around the reservoir area of Wudongde Hydropower Station, China. Nat. Hazards, Available online: https:\/\/www.researchsquare.com\/article\/rs-2805236\/v1.","DOI":"10.21203\/rs.3.rs-2805236\/v1"},{"key":"ref_34","first-page":"e01470","article-title":"Application and validation of AHP and FR methods for landslide susceptibility mapping around choke mountain, northwestern ethiopia","volume":"19","author":"Asmare","year":"2023","journal-title":"Sci. Afr."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.geomorph.2004.06.010","article-title":"The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan","volume":"65","author":"Ayalew","year":"2005","journal-title":"Geomorphology"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1007\/s12665-021-09650-2","article-title":"Landslide susceptibility mapping with GIS in high mountain area of Nepal: A comparison of four methods","volume":"80","author":"Gautam","year":"2021","journal-title":"Environ. Earth Sci."},{"key":"ref_37","first-page":"49","article-title":"Landslides inventory map as a first step for hazard and risk assessment: Rif mountains, Morocco","volume":"42","author":"Mastere","year":"2020","journal-title":"Bull. De L\u2019Inst. Sci. Rabat Sect. Sci. De La Terre"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1007\/s10346-015-0582-5","article-title":"The Rwenzori Mountains, a landslide-prone region?","volume":"13","author":"Jacobs","year":"2016","journal-title":"Landslides"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Morales, B., Garcia-Pedrero, A., Lizama, E., Lillo-Saavedra, M., Gonzalo-Mart\u00edn, C., Chen, N., and Somos-Valenzuela, M. (2022). Patagonian Andes Landslides Inventory: The deep learning\u2019s way to their automatic detection. Remote Sens., 14.","DOI":"10.3390\/rs14184622"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.geomorph.2009.02.026","article-title":"Comparison of landslide susceptibility based on a decision-tree model and actual landslide occurrence: The Akaishi Mountains, Japan","volume":"109","author":"Saito","year":"2009","journal-title":"Geomorphology"}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/9\/2\/31\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T13:57:02Z","timestamp":1760104622000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/9\/2\/31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,8]]},"references-count":40,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2024,2]]}},"alternative-id":["data9020031"],"URL":"https:\/\/doi.org\/10.3390\/data9020031","relation":{},"ISSN":["2306-5729"],"issn-type":[{"value":"2306-5729","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2,8]]}}}