Spatial and temporal analysis of a global landslide catalog

dc.contributor.authorKirschbaum, Dalia
dc.contributor.authorStanley, Thomas
dc.contributor.authorZhou, Yaping
dc.date.accessioned2022-07-06T21:21:28Z
dc.date.available2022-07-06T21:21:28Z
dc.date.issued2015-10-11
dc.description.abstractLandslide inventories are critical to support investigations of where and when landslides have happened and may occur in the future; however, there is surprisingly little information on the historical occurrence of landslides at the global scale. This paper presents a new publicly available global landslide catalog (GLC), which is based on media reports, online databases, and other sources. This database is currently available at http://ojo-streamer.herokuapp.com/. The 5741 points in the GLC provide a foundation for evaluating spatial and temporal trends in landslide activity from 2007 to 2013. Globally, landslides were reported most frequently from July to September. Most events occurred in Asia, North America and Southeast Asia. In contrast, fewer than 5% of the fatalities were reported in North America, suggesting a significant amount of under-reporting in other regions as well as potential discrepancies between developing and developed regions. Reported landslide events were also compared to satellite-based precipitation estimates from the Tropical Rainfall Measuring Mission (TRMM) to evaluate the co-occurrence of extreme precipitation and landslide activity. Of the 3550 points considered in a subset of the GLC, approximately 60% of the reported landslides have daily precipitation exceeding the 95th percentile of precipitation calculated over a 14-year TRMM record for the same location. This study also investigated how the recurrence interval of extreme precipitation corresponded to some of the most catastrophic landslide events. In spite of several reporting and cataloging biases, spatial and temporal analysis of the GLC suggests that it is a valuable database for characterizing global patterns of landslide occurrence and evaluating relationships with extreme precipitation at regional and global scales.en_US
dc.description.sponsorshipThe authors acknowledge the individuals who helped to develop the GLC, including Stephanie Hill, Lynne Shupp, Teddy Allen, Pradeep Adhikari, Lauren Redmond, David Adler, Kimberly Rodgers, Lee Sanders, Benjamin Hall, and Melanie Franchek. This work was supported by the NASA SERVIR program (NNH11ZDA001N-SERVIR) and the Global Precipitation Measurement (GPM) mission. Thanks also to Yudong Tian, who helped provide the TMPA data for this analysis.en_US
dc.description.urihttps://www.sciencedirect.com/science/article/pii/S0169555X15001579en_US
dc.format.extent12 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2q9q7-s5wk
dc.identifier.citationKirschbaum, Dalia, Thomas Stanley and Yaping Zhou. "Spatial and temporal analysis of a global landslide catalog." Geomorphology 249 (2015):4-15. https://doi.org/10.1016/j.geomorph.2015.03.016.en_US
dc.identifier.urihttps://doi.org/10.1016/j.geomorph.2015.03.016
dc.identifier.urihttp://hdl.handle.net/11603/25096
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.relation.ispartofUMBC GESTAR II
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleSpatial and temporal analysis of a global landslide catalogen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-7812-851Xen_US

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