Spatial and Temporal Analysis of Global Landslide Reporting Using a Decade of the Global Landslide Catalog
| dc.contributor.author | Dandridge, Chelsea | |
| dc.contributor.author | Stanley, Thomas | |
| dc.contributor.author | Kirschbaum, Dalia B. | |
| dc.contributor.author | Lakshmi, Venkataraman | |
| dc.date.accessioned | 2023-03-03T17:34:06Z | |
| dc.date.available | 2023-03-03T17:34:06Z | |
| dc.date.issued | 2023-02-11 | |
| dc.description.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. | en_US |
| dc.description.sponsorship | C.D. was funded by the Graduate Assistance in Areas of National Need (GAANN) and ARCS Washington Metropolitan Chapter Scholarship. D.B.K. and T.A.S. were funded by NASA SERVIR Science Team (NNH18ZDA001N-18-SERVIR18_2-0036) and NASA’s Disasters program through the solicitation for Earth Science Applications: Disaster Risk Reduction and Response (NNH18ZDA001N). | en_US |
| dc.description.uri | https://www.mdpi.com/2071-1050/15/4/3323 | en_US |
| dc.format.extent | 22 pages | en_US |
| dc.genre | journal articles | en_US |
| dc.identifier | doi:10.13016/m2rs48-3f5g | |
| dc.identifier.citation | "Dandridge, C.; Stanley, T.A.; Kirschbaum, D.B.; Lakshmi, V. Spatial and Temporal Analysis of Global Landslide Reporting Using a Decade of the Global Landslide Catalog. Sustainability 2023, 15, 3323. https://doi.org/10.3390/su15043323" | en_US |
| dc.identifier.uri | https://doi.org/10.3390/su15043323 | |
| dc.identifier.uri | http://hdl.handle.net/11603/26945 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | MDPI | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC GESTAR II Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This 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.rights | Public Domain Mark 1.0 | |
| dc.rights.uri | http://creativecommons.org/publicdomain/mark/1.0/ | * |
| dc.title | Spatial and Temporal Analysis of Global Landslide Reporting Using a Decade of the Global Landslide Catalog | en_US |
| dc.type | Text | en_US |
| dcterms.creator | https://orcid.org/0000-0003-2288-0363 | en_US |