IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3323-d1065220.html
   My bibliography  Save this article

Spatial and Temporal Analysis of Global Landslide Reporting Using a Decade of the Global Landslide Catalog

Author

Listed:
  • Chelsea Dandridge

    (Engineering Systems and Environment, University of Virginia, Charlottesville, VA 22903, USA)

  • Thomas A. Stanley

    (GESTAR II, University of Maryland Baltimore County, Baltimore, MD 21250, USA
    Hydrological Sciences Laboratory, National Aeronautics and Space Administration Goddard Space Flight Center, Greenbelt, MD 20771, USA)

  • Dalia B. Kirschbaum

    (Earth Science Division, National Aeronautics and Space Administration Goddard Space Flight Center, Greenbelt, MD 20771, USA)

  • Venkataraman Lakshmi

    (Engineering Systems and Environment, University of Virginia, Charlottesville, VA 22903, USA)

Abstract

Rainfall-triggered landslides can result in devastating loss of life and property damage and are a growing concern from a local to global scale. NASA’s global landslide catalog (GLC) compiles a record of rainfall-triggered landslide events from media reports, academic articles, and existing databases at global scale. The database consists of all types of mass movement events that are triggered by rainfall and represents a minimum number of events occurring between 2007 and 2018. The GLC collection is no longer being compiled, and the dataset will not be updated past 2018. The research presented here evaluates global patterns in landslide reporting from events in the GLC. The evaluation includes an analysis of the spatial and temporal distribution of global landslide events and associated casualties and comparisons with other landslide inventories. This database has been used to estimate landslide hotspots, evaluate geographic patterns in landslides, and train and validate landslide models from local to global scales. The most notable landslide hotspots are in the Pacific Northwest of North America, High Mountain Asia, and the Philippines. Additionally, the relationship between country GDP and income status with landslide occurrence was determined to have a positive correlation between economic status and landslide reporting. The GLC also indicates a reporting bias towards English-speaking countries. The general goal of this research is to assess the decade of global landslide reports from the GLC and show how this database can be used for rainfall-triggered landslide research.

Suggested Citation

  • Chelsea Dandridge & Thomas A. Stanley & Dalia B. Kirschbaum & Venkataraman Lakshmi, 2023. "Spatial and Temporal Analysis of Global Landslide Reporting Using a Decade of the Global Landslide Catalog," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3323-:d:1065220
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3323/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/4/3323/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Petley & Gareth Hearn & Andrew Hart & Nicholas Rosser & Stuart Dunning & Katie Oven & Wishart Mitchell, 2007. "Trends in landslide occurrence in Nepal," 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. 43(1), pages 23-44, October.
    2. Dalia Kirschbaum & Robert Adler & Yang Hong & Stephanie Hill & Arthur Lerner-Lam, 2010. "A global landslide catalog for hazard applications: method, results, and limitations," 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. 52(3), pages 561-575, March.
    3. Netra Bhandary & Ranjan Dahal & Manita Timilsina & Ryuichi Yatabe, 2013. "Rainfall event-based landslide susceptibility zonation 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. 69(1), pages 365-388, October.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jingxiang Wang & Xiaojie Yang & Zhigang Tao & Fuxin Shen, 2025. "Failure characteristics and instability mechanism of the Hengshanbei catastrophic high-locality landslide in Guangdong, 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. 121(7), pages 8805-8825, April.

    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. G. Sakkas & I. Misailidis & N. Sakellariou & V. Kouskouna & G. Kaviris, 2016. "Modeling landslide susceptibility in Greece: a weighted linear combination approach using analytic hierarchical process, validated with spatial and statistical analysis," 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. 84(3), pages 1873-1904, December.
    2. 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.
    3. Fhatuwani Sengani & François Mulenga, 2020. "Application of Limit Equilibrium Analysis and Numerical Modeling in a Case of Slope Instability," Sustainability, MDPI, vol. 12(21), pages 1-33, October.
    4. Olga Petrucci & Paola Salvati & Luigi Aceto & Cinzia Bianchi & Angela Aurora Pasqua & Mauro Rossi & Fausto Guzzetti, 2017. "The Vulnerability of People to Damaging Hydrogeological Events in the Calabria Region (Southern Italy)," IJERPH, MDPI, vol. 15(1), pages 1-28, December.
    5. Seçkin Fidan & Hakan Tanyaş & Abdullah Akbaş & Luigi Lombardo & David N. Petley & Tolga Görüm, 2024. "Understanding fatal landslides at global scales: a summary of topographic, climatic, and anthropogenic perspectives," 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. 120(7), pages 6437-6455, May.
    6. Derly Gómez & Edwin F. García & Edier Aristizábal, 2023. "Spatial and temporal landslide distributions using global and open landslide databases," 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. 117(1), pages 25-55, May.
    7. 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.
    8. Stephen R. Sobie, 2020. "Future changes in precipitation-caused landslide frequency in British Columbia," Climatic Change, Springer, vol. 162(2), pages 465-484, September.
    9. S. Modugno & S. C. M. Johnson & P. Borrelli & E. Alam & N. Bezak & H. Balzter, 2022. "Analysis of human exposure to landslides with a GIS multiscale approach," 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. 112(1), pages 387-412, May.
    10. Weidong Wang & Jiaying Li & Xia Qu & Zheng Han & Pan Liu, 2019. "Prediction on landslide displacement using a new combination model: a case study of Qinglong landslide 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. 96(3), pages 1121-1139, April.
    11. Xinfu Xing & Chenglong Wu & Jinhui Li & Xueyou Li & Limin Zhang & Rongjie He, 2021. "Susceptibility assessment for rainfall-induced landslides using a revised logistic regression 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. 106(1), pages 97-117, March.
    12. Randell, Heather & Jiang, Chengsheng & Liang, Xin-Zhong & Murtugudde, Raghu & Sapkota, Amir, 2021. "Food insecurity and compound environmental shocks in Nepal: Implications for a changing climate," World Development, Elsevier, vol. 145(C).
    13. Bo Cao & Qingyi Li & Yuhang Zhu, 2022. "Comparison of Effects between Different Weight Calculation Methods for Improving Regional Landslide Susceptibility—A Case Study from Xingshan County of China," Sustainability, MDPI, vol. 14(17), pages 1-15, September.
    14. George Gaprindashvili & Cees Westen, 2016. "Generation of a national landslide hazard and risk map for the country of Georgia," 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. 80(1), pages 69-101, January.
    15. Jeevan R. Kulkarni & Sneha S. Kulkarni & Mitali U. Inamdar & Nitin M. Tamhankar & Spandan B. Waghmare & Kiran R. Thombare & Paresh S. Mhetre & Tanuja Khatavkar & Yashodhan Panse & Amey Patwardhan & Yo, 2022. "“Satark”: Landslide Prediction System over Western Ghats of India," Land, MDPI, vol. 11(5), pages 1-23, May.
    16. Motilal Ghimire & Niroj Timalsina & Wei Zhao, 2024. "A Geographical approach of watershed prioritization in the Himalayas: a case study in the middle mountain district of Nepal," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 23527-23560, September.
    17. Xiangyang Feng & Zhaoqi Wu & Zihao Wu & Junping Bai & Shixiang Liu & Qingwu Yan, 2025. "Landslide Susceptibility Mapping in Xinjiang: Identifying Critical Thresholds and Interaction Effects Among Disaster-Causing Factors," Land, MDPI, vol. 14(3), pages 1-25, March.
    18. Chao Yang & Haiying Xu & Qingquan Li & Xuqing Wang & Bohui Tang & Junyi Chen & Wei Tu & Yinghui Zhang & Tiezhu Shi & Min Chen & Wei Ma & Huizeng Liu & Jonathan M. Chase, 2025. "Global loss of mountain vegetated landscapes and its impact on biodiversity conservation," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
    19. Zongxing Zou & Tao Luo & Qinwen Tan & Junbiao Yan & Yinfeng Luo & Xinli Hu, 2023. "Dynamic determination of landslide stability and thrust force considering slip zone evolution," 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. 118(1), pages 31-53, August.
    20. Adel Asadi & Laurie G. Baise & Magaly Koch & Babak Moaveni & Snehamoy Chatterjee & Yusupujiang Aimaiti, 2024. "Pixel-based classification method for earthquake-induced landslide mapping using remotely sensed imagery, geospatial data and temporal change information," 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. 120(6), pages 5163-5200, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:15:y:2023:i:4:p:3323-:d:1065220. 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.