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

Chelsea Dandridge (), Thomas A. Stanley, Dalia B. Kirschbaum and Venkataraman Lakshmi
Additional contact information
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
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

Sustainability, 2023, vol. 15, issue 4, 1-22

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.

Keywords: global landslide catalog; rainfall-triggered landslides; landslide reporting; landslide inventory; landslide database (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/4/3323/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/4/3323/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:4:p:3323-:d:1065220

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().