Green, BrandonBlanford, Justine2020-01-042020-01-042020-01-07978-0-9981331-3-3http://hdl.handle.net/10125/64009Throughout 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.10 pagesengAttribution-NonCommercial-NoDerivatives 4.0 InternationalDisaster Information, Technology, and Resiliencegisobject-basedpixel-basedpopulation estimatepythonConference Paper10.24251/HICSS.2020.268