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Refugee Camp Population Estimates Using Automated Feature Extraction

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Title:Refugee Camp Population Estimates Using Automated Feature Extraction
Authors:Green, Brandon
Blanford, Justine
Keywords:Disaster Information, Technology, and Resilience
gis
object-based
pixel-based
population estimate
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Date Issued:07 Jan 2020
Abstract:Throughout 2018, approximately 68.5 million people were forcibly displaced due to armed conflict, generalized violence, or human rights violations around the world; of those, 40 million were internally displaced persons (IDP), 25.4 million refugees, and 3.1 million asylum-seekers. Effective management of refugee and IDP camps rely on accurate, up-to-date, and comprehensive population estimates. However, obtaining this information is not always easy. Thus, the purpose of this study was to develop a methodology and custom toolset that estimates populations based on dwellings derived from automated feature extraction of high-resolution, multi-spectral orthorectified imagery. Estimates were determined for five Rohingya refugee camp populations and compared with United Nations High Commissioner for Human Rights (UNHCR) baseline data to determine accuracy.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/64009
ISBN:978-0-9981331-3-3
DOI:10.24251/HICSS.2020.268
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Disaster Information, Technology, and Resilience


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