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Authors: Filip Loncar and Pedro Cabral

Affiliation: NOVA IMS, Universidade Nova de Lisboa, Campus de Campolide, 1070-312, Lisbon, Portugal

Keyword(s): Urban Sprawl, Refugee Camp, Unmanned Aerial Vehicle, Support Vector Machine, Maximum Likelihood Classification.

Abstract: Urban sprawl is a common phenomenon associated with geographical and political challenges such as refugee settlements and environmental extremes. Urban sprawl related to refugee or habitation settlement has been an area of active interest because of humanitarian and environmental problems. For example, higher rates of urban sprawling are positively correlated with higher rates of deforestation. The present study explored the viability and reproducibility of different classification techniques in assessing urban sprawl among Rohingya refugees in the Kutupalong refugee camp in Bangladesh. These classification methods include the Support Vector Machine (SVM) and Maximum Likelihood Classifier (MLC). The urban sprawl was measured based on the classification of urban and non-urban classes. The SVM yielded better overall accuracy performance compared to MLC classification. The study showed that urban class exhibited exponential growth from 2.01 km2 to 5.37 km2 within nine months. On the con trary, the non-urban class shrunk from 12.58 km2 to 9.95 km2 during the same period due to a high influx of refugees and rapid camp expansion. (More)

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Paper citation in several formats:
Loncar, F. and Cabral, P. (2022). Urban Sprawl Analysis in Kutupalong Refugee Camp, Bangladesh. In Proceedings of the 8th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-571-5; ISSN 2184-500X, SciTePress, pages 83-90. DOI: 10.5220/0010970200003185

@conference{gistam22,
author={Filip Loncar. and Pedro Cabral.},
title={Urban Sprawl Analysis in Kutupalong Refugee Camp, Bangladesh},
booktitle={Proceedings of the 8th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM},
year={2022},
pages={83-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010970200003185},
isbn={978-989-758-571-5},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - Urban Sprawl Analysis in Kutupalong Refugee Camp, Bangladesh
SN - 978-989-758-571-5
IS - 2184-500X
AU - Loncar, F.
AU - Cabral, P.
PY - 2022
SP - 83
EP - 90
DO - 10.5220/0010970200003185
PB - SciTePress

- Science and Technology Publications, Lda.
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