NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Insights from the Topographic Characteristics of a Large Global Catalog of Rainfall-Induced Landslide Event InventoriesLandslides are a key hazard in high-relief areas around the world and pose a risk to population and infrastructure. It is important to understand where landslides are likely to occur in the landscape to inform local analyses of exposure and potential impacts. Large triggering events such as earthquakes or major rain storms often cause hundreds or thousands of landslides, and mapping the landslide populations generated by these events can provide extensive datasets of landslide locations. Previous work has explored the characteristic locations of landslides triggered by seismic shaking, but rainfall induced landslides are likely to occur in different parts of a given landscape when compared to seismically induced failures. Here we show measurements of a range of topographic parameters associated with rainfall-induced landslides inventories, including a number of previously unpublished inventories which we also present here. We find that average upstream angle and compound topographic index are strong predictors of landslide scar location, while local relief and topographic position index provide a stronger sense of where landslide material may end up (and thus where hazard may be highest). By providing a large compilation of inventory data for open use by the landslide community, we suggest that this work could be useful for other regional and global landslide modelling studies and local calibration of landslide susceptibility assessment, as well as hazard mitigation studies.
Document ID
20220005527
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Robert Emberson ORCID
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Dalia B Kirschbaum
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Pukar Amatya
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Hakan Tanyas ORCID
(University of Twente Enschede, Overijssel, Netherlands)
Odin Marc ORCID
(Géosciences Environnement Toulouse Toulouse, France)
Date Acquired
April 8, 2022
Publication Date
April 1, 2022
Publication Information
Publication: Natural Hazards and Earth System Sciences
Publisher: European Geosciences Union
Volume: 22
Issue: 3
Issue Publication Date: January 1, 2022
ISSN: 1561-8633
e-ISSN: 1684-9981
Subject Category
Geophysics
Funding Number(s)
CONTRACT_GRANT: 18-DISASTER18-0022
WBS: 346751.02.01.01.58
CONTRACT_GRANT: 80NSSC22M0001
CONTRACT_GRANT: 80NSSC22M0001
CONTRACT_GRANT: NNH15CO48B
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
No Preview Available