Landslide Hazard and Exposure Modelling in Data-Poor Regions: The Example of the Rohingya Refugee Camps in Bangladesh

dc.contributor.authorEmberson, R. A.
dc.contributor.authorKirschbaum, D. B.
dc.contributor.authorStanley, Thomas
dc.date.accessioned2022-10-03T21:25:14Z
dc.date.available2022-10-03T21:25:14Z
dc.date.issued2021-01-14
dc.description.abstractLandslide hazards significantly affect economies and populations around the world, but locations where the greatest proportional losses occur are in data-poor regions where capacity to estimate and prepare for these hazards is most limited. Earth observation (EO) data can fill key knowledge gaps, and can be rapidly used in settings with lower analytical capacity. In this study, we describe a novel series of methods designed to analyze landslide susceptibility, hazard and exposure in the region in and around the Rohingya refugee camps in Bangladesh, where limited data is juxtaposed with a major humanitarian crisis. We demonstrate that a high degree of accuracy is possible even when estimating susceptibility of relatively small landslides. In the context of this example, we also explore how estimates of landslide hazard and exposure are most beneficial to decisions made by humanitarian stakeholders relevant to natural hazards and risk. The unique opportunity to work alongside humanitarian end-users has allowed us to produce focused products that can be tested while in development. In particular, we stress the importance of communicating the difference between a landslide “early warning system”—for which satellite data may be unsuitable at local scales—and a model that provides relative hazard estimates, where EO may be valuable. The toolbox of methods presented here could be used to generate landslide hazard and exposure maps in other data-poor regions around the globe.en_US
dc.description.sponsorshipAll authors acknowledge no conflict of interest, financial, or otherwise. RE's research was supported by an appointment to the NASA Postdoctoral Program at NASA Goddard Space Flight Center, administered by Universities Space Research Association under contract with NASA. The authors greatly appreciate the input and expertize of the members of the COMPAS project, supported by NASA's Rapid Response Grant (18-RRNES18-0008), and from end-users and stakeholders from UNHCR, UNDP, IOM, and ISCG in Cox's Bazar, Bangladesh. Pukar Amatya provided useful insight during model development and manuscript review.en_US
dc.description.urihttps://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020EF001666en_US
dc.format.extent22 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m23yae-xkr3
dc.identifier.citationEmberson, R. A., Kirschbaum, D. B., & Stanley, T. (2021). Landslide hazard and exposure modelling in data-poor regions: the example of the Rohingya refugee camps in Bangladesh. Earth's Future, 9, e2020EF001666. https://doi.org/10.1029/2020EF001666en_US
dc.identifier.urihttps://doi.org/10.1029/2020EF001666
dc.identifier.urihttp://hdl.handle.net/11603/26086
dc.language.isoen_USen_US
dc.publisherAGUen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC GESTAR II Collection
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.titleLandslide Hazard and Exposure Modelling in Data-Poor Regions: The Example of the Rohingya Refugee Camps in Bangladeshen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0003-2288-0363en_US

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