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

Lei Li, Chong Xu (), Zhiqiang Yang, Zhongjian Zhang and Mingsheng Lv
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Lei Li: National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
Chong Xu: National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
Zhiqiang Yang: National Institute of Natural Hazards, 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

Data, 2022, vol. 7, issue 8, 1-9

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.

Keywords: Loess Plateau; Baoji City; large-scale landslides (area > 5000 m 2 ); google earth; visual interpretation (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2022
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