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Impacts of large-scale refugee resettlement on LCLUC

Bidi Bidi refugee settlement, Uganda case study

Bibliographic Data

ID15545360
AuthorsCatherine Nakalembe (0000-0002-2213-593X, University of Maryland, College Park, corresponding author), Maria Zubkova (0000-0001-7075-6936, University of Maryland, College Park), Joanne Hall (0000-0001-5413-7369, University of Maryland, College Park), Fernanda Argueta (0000-0002-0350-3581, University of Maryland, College Park), Louis Giglio (0000-0001-6312-7955, University of Maryland, College Park)
Year2022
Volume17
Issue6
Pages064019-064019
Publication date2022-05-10
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ac6e48
OpenAlexW4280489556
LanguageEN
Citations received3
References cited48

Uganda is the third-largest refugee-hosting country partly due to its open-door policy—deemed one of the most progressive. When new refugees arrive, refugee settlements are established rapidly, and irreversible changes to the landscape are inevitable. We utilize satellite data to map land cover (LC), land use, and burned area (BA) to assess their relationship in the context of large-scale refugee resettlement in Bidi Bidi—Uganda’s largest refugee settlement. We show inevitable dramatic changes in LC, e.g. built-up residential zones increased from 1.8% to 30%, while cropland increased from less than 0.7%–25.6% during our study period (2015–2019). In contrast, BA that affected more than 80% of the area was drastically reduced during the establishment phase (August–December 2017). Substantial reduction in BA was observed predominantly within the residential zones, but outside of the zones, BA was hardly affected by the arrival of refugees. Our study shows that these changes in LC and BA are mainly missing in the readily accessible satellite-derived data products, which impede assessment, planning, and implementation of humanitarian response programs. We discuss the importance of mapping at the appropriate spatial and temporal scales and the importance of context, sector, and geographic domain knowledge expertise in developing critical information products for informing programs to support vulnerable populations

Archaeology · Business · Cartography · Context (archaeology · Economic growth · Environmental planning · Geography · Human settlement · Political science · Refugee · Scale (ratio · Settlement (finance · Socioeconomics · Sociology · Climate Change, Adaptation, Migration · Energy and Environment Impacts · Remote-Sensing Image Classification

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Unique citing works3
Citations per year1,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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