IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i10p1580-d1487973.html
   My bibliography  Save this article

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

Author

Listed:
  • Sen Zhang

    (College of Geology Engineering and Geomatics, Chang’an University, Xi’an 710064, China
    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
    Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing 100085, China)

  • Zhenjiang Meng

    (College of Geology Engineering and Geomatics, Chang’an University, Xi’an 710064, China
    Scientific Research Institute of Chang’an University, Chang’an University, Xi’an 710064, China)

  • Tao Li

    (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)

  • 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
    Key Laboratory of Compound and Chained Natural Hazards Dynamics, 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
    Key Laboratory of Compound and Chained Natural Hazards Dynamics, 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
    Key Laboratory of Compound and Chained Natural Hazards Dynamics, 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)

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.

Suggested Citation

  • Sen Zhang & Chong Xu & Zhenjiang Meng & Tao Li & Chao Li & Yuandong Huang & Xiaoyi Shao & Liye Feng & Penghan Luo & Changyou Luo, 2024. "Establishing a Landslide Traces Inventory for the Baota District, Yan’an City, China, Using High-Resolution Satellite Images," Land, MDPI, vol. 13(10), pages 1-18, September.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:10:p:1580-:d:1487973
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/10/1580/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/10/1580/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiang-Zhou Xu & Wen-Zhao Guo & Ya-Kun Liu & Jian-Zhong Ma & Wen-Long Wang & Hong-Wu Zhang & Hang Gao, 2017. "Landslides on the Loess Plateau of China: a latest statistics together with a close look," 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. 86(3), pages 1393-1403, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fanyu Zhang & Jianbing Peng & Xiaowei Huang & Hengxing Lan, 2021. "Hazard assessment and mitigation of non-seismically fatal landslides in China," 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. 106(1), pages 785-804, March.
    2. Zhuo Chen & Danqing Song, 2021. "Numerical investigation of the recent Chenhecun landslide (Gansu, China) using the discrete element method," 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. 105(1), pages 717-733, January.
    3. Xiangjian Rui & Lei Nie & Yan Xu & Hong Wang, 2019. "Land Degeneration due to Water Infiltration and Sub-Erosion: A Case Study of Soil Slope Failure at the National Geological Park of Qian-an Mud Forest, China," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    4. Zhilu Chang & Huanxiang Gao & Faming Huang & Jiawu Chen & Jinsong Huang & Zizheng Guo, 2020. "Study on the creep behaviours and the improved Burgers model of a loess landslide considering matric suction," 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. 103(1), pages 1479-1497, August.
    5. Xing Su & Wanhong Wei & Weilin Ye & Xingmin Meng & Weijiang Wu, 2019. "Predicting landslide sliding distance based on energy dissipation and mass point kinematics," 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. 96(3), pages 1367-1385, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:13:y:2024:i:10:p:1580-:d:1487973. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.