Open Inventories of Rainfall‐Triggered Landslides

ABSTRACT Landslide inventories support both post‐event response and predictive model evaluation, but it remains challenging to create public, current, comprehensive and accurate landslide inventories. In response to this need, thousands of rainfall‐triggered landslides were mapped and organised within the National Aeronautics and Space Administration's Cooperative Open‐Online Landslide Repository (COOLR), which contains over 11,000 landslide reports from the Global Landslide Catalogue. Recently, 22 inventories containing thousands of rainfall‐triggered landslides have been added to COOLR, which was reorganised to better accommodate large landslide inventories. All the data are available on the ‘Landslide Viewer’ web application, which also shows referenced and imported landslide inventories from other researchers. The new inventories are each connected to a landslide‐triggering rainfall event, and therefore their date of occurrence was usually known. Landslide events were found by searching through credible sources or due to an external request for support during a disaster response. In either case, high‐resolution imagery was utilised to digitise the landslides in the region. The resulting data can be used for various purposes, such as model training and validation. To demonstrate their potential, satellite precipitation was analysed with reference to the new inventories. The precipitation analysis highlights the potential of daily satellite precipitation estimates in areas with limited ground precipitation observations. Some of the heavy precipitation events were underestimated, but many were captured and could inform future landslide hazard assessment.

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Publication Details

Journal
Geoscience Data Journal
Published
2025-08-29
DOI
https://doi.org/10.1002/gdj3.70023
Citations
1
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
2.42

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article

Open Inventories of Rainfall‐Triggered Landslides

Dalia Kirschbaum, J. R. Sutton, Pukar Amatya, Thomas Stanley et al.
1 citations
Geoscience Data Journal
Landslides and related hazards
2.42
article

Open Inventories of Rainfall‐Triggered Landslides

Dalia Kirschbaum, J. R. Sutton, Pukar Amatya, Thomas Stanley, Rachel B. Soobitsky
article en
1 citations

Abstract

ABSTRACT Landslide inventories support both post‐event response and predictive model evaluation, but it remains challenging to create public, current, comprehensive and accurate landslide inventories. In response to this need, thousands of rainfall‐triggered landslides were mapped and organised within the National Aeronautics and Space Administration's Cooperative Open‐Online Landslide Repository (COOLR), which contains over 11,000 landslide reports from the Global Landslide Catalogue. Recently, 22 inventories containing thousands of rainfall‐triggered landslides have been added to COOLR, which was reorganised to better accommodate large landslide inventories. All the data are available on the ‘Landslide Viewer’ web application, which also shows referenced and imported landslide inventories from other researchers. The new inventories are each connected to a landslide‐triggering rainfall event, and therefore their date of occurrence was usually known. Landslide events were found by searching through credible sources or due to an external request for support during a disaster response. In either case, high‐resolution imagery was utilised to digitise the landslides in the region. The resulting data can be used for various purposes, such as model training and validation. To demonstrate their potential, satellite precipitation was analysed with reference to the new inventories. The precipitation analysis highlights the potential of daily satellite precipitation estimates in areas with limited ground precipitation observations. Some of the heavy precipitation events were underestimated, but many were captured and could inform future landslide hazard assessment.

Geoscience Data JournalVol. 12(4)
Goddard Space Flight Center (US), Science Systems and Applications (United States) (US), University of Maryland, Baltimore County (US)
National Aeronautics and Space Administration
Openalex Percentile: Top 9%
Landslides and related hazards
2.42
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