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An Inventory of Large-Scale Landslides in Baoji City, Shaanxi Province, China

Author

Listed:
  • Lei Li

    (National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
    School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

  • Chong Xu

    (National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
    Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing 100085, China
    Key Laboratory of Landslide Risk Early-Warning and Control, Ministry of Emergency Management of China, Chengdu 610059, China)

  • Zhiqiang Yang

    (National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
    Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing 100085, China)

  • Zhongjian Zhang

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

  • Mingsheng Lv

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

Abstract

Landslides are a typical geological hazard that endangers people’s lives and property in the Loess Plateau. The destructiveness of large-scale landslides, in particular, is incalculable. For example, traffic disruptions, river blockages, and house collapses may all result from landslides. Thus, it is urgent to compile a complete inventory of landslides in a specific region. The investigation object of this study is Baoji City, Shaanxi Province, China. Using the multi-temporal high-resolution remote sensing images from Google Earth, we preliminarily completed the cataloging of large-scale (area > 5000 m 2 ) landslides in the study area through visual interpretation. The inventory was subsequently compared with the existing literature and hazard records for improvement and supplement. We identified 3422 landslides with a total area of 360.7 km 2 and an average area of 105,400 m 2 for each individual landslide. The largest landslide had an area of 1.71 km 2 , while the smallest one was 6042 m 2 . In previous studies, we analyzed these data without describing the data sources in detail. We now provide a shared dataset of each landslide in shp format, containing geographic location, boundary information, etc. The dataset is significantly useful for understanding the distribution characteristics of large-scale landslides in this region. Moreover, it can serve as basic data for the study of paleolandslide resurrection.

Suggested Citation

  • Lei Li & Chong Xu & Zhiqiang Yang & Zhongjian Zhang & Mingsheng Lv, 2022. "An Inventory of Large-Scale Landslides in Baoji City, Shaanxi Province, China," Data, MDPI, vol. 7(8), pages 1-9, August.
    • Handle: RePEc:gam:jdataj:v:7:y:2022:i:8:p:114-:d:888303
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    References listed on IDEAS

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    1. Thomas Stanley & Dalia B. Kirschbaum, 2017. "A heuristic approach to global landslide susceptibility mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(1), pages 145-164, May.
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