Establishing a Landslide Traces Inventory for the Baota District, Yan’an City, China, Using High-Resolution Satellite Images

Sen Zhang, Chong Xu (), Zhenjiang Meng (), Tao Li, Chao Li, Yuandong Huang, Xiaoyi Shao, Liye Feng, Penghan Luo and Changyou Luo
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Sen Zhang: College of Geology Engineering and Geomatics, Chang’an University, Xi’an 710064, China
Chong Xu: National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
Zhenjiang Meng: College of Geology Engineering and Geomatics, Chang’an University, Xi’an 710064, China
Tao Li: National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
Chao Li: College of Geology Engineering and Geomatics, Chang’an University, Xi’an 710064, China
Yuandong Huang: National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
Xiaoyi Shao: National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
Liye Feng: National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
Penghan Luo: College of Geology Engineering and Geomatics, Chang’an University, Xi’an 710064, China
Changyou Luo: College of Geology Engineering and Geomatics, Chang’an University, Xi’an 710064, China

Land, 2024, vol. 13, issue 10, 1-18

Abstract: The Baota District of Yan’an City, located in the Loess Plateau, is an important patriotic education base in China. The region’s fragile geological environment and frequent geological disasters pose significant threats to the production and livelihood of residents. Establishing a landslide traces inventory can provide crucial assistance for studying regional land disaster distribution patterns and implementing disaster prevention and mitigation measures. However, the Baota District has not yet established a comprehensive and detailed landslide traces inventory, resulting in a lack of clear understanding and comprehensive knowledge regarding the threats and impacts of landslide disasters in the area. Therefore, this study employed high-resolution satellite images, applying a human–computer interactive visual interpretation method in conjunction with field survey verifications, to develop the most detailed and comprehensive landslide traces inventory for the Baota District to date. The results indicate that within the 3556 km 2 area of the Baota District, there are 73,324 landslide traces, with an average landslide density of 20.62 km -2 and a total landslide area of 769.12 km 2 , accounting for 21.63% of the total land area. These landslides are relatively evenly distributed throughout the district, with a higher concentration in the east compared to the west. Most of the landslides are small in size. This study can support disaster prevention and mitigation efforts in the Baota District and serve as a reference for establishing landslide inventories in other regions of the Loess Plateau.

Keywords: landslide traces inventory; Yan’an City; Loess Plateau; loess landslides; satellite image; visual interpretation (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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