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Spatiotemporal Change of Urban Sprawl Patterns in Bamako District in Mali Based on Time Series Analysis

Bibliographic Data

ID13114272
AuthorsMoussa Aliou Keita (Hohai University, corresponding author), Renzong Ruan (Hohai University), Ru An (Hohai University)
Year2020
Volume5
Issue1
Pages4-4
Publication date2020-12-29
Open AccessYes
TypeARTICLE
VenueUrban Science (JOURNAL)
Journal identifiersISSN: 2413-8851 • E-ISSN: 2413-8851
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/urbansci5010004
OpenAlexW3115177316
LanguageEN
Citations received6
References cited27

For decades, urban sprawl has remained a major challenge for big cities in developing countries, such as Bamako. The aim of this study is to analyze urban sprawl pattern changes over time in the Bamako district using landscape index analyses. Four thematic maps of land cover (LC) were produced by applying the maximum likelihood supervised classification method on Landsat images for 1990, 2000, 2010, and 2018. Five landscape indexes were selected and calculated at class level and landscape level using FRAGSTATS software. The results showed that the dominant class for all the years within the landscape was a built-up class. Forest class covered the smallest area in terms of the percentage of land (%PLAND), and was the weakest class in terms of number of patches (NP) and largest patch index (LPI). Grassland is defined as the class with the highest fragmentation, farmland with the highest shape irregularity and more heterogeneity, and built-up with the highest patches. Class area (CA) of built-up showed the importance of sprawl in Communes 6, 5, and 4, respectively. Indices trends and land use/cover showed infill, scattered, and ribbon developments of sprawl. This study contributes toward monitoring long-term urban sprawl patterns using index analyses

Biology · Cartography · Fragmentation (computing · Geography · Grassland · Index (typography · Infill · Land cover · Land use · Physical geography · Remote sensing · Satellite imagery · Thematic map · Thematic Mapper · Urban sprawl · Computer Science · Land Use and Ecosystem Services · Remote Sensing and Land Use · Soil and Land Suitability Analysis · Ecology

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  • Fragstats

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    Open Access•Russell G Congalton•Remote Sensing of Environment•1991

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Citations per year2
Citation span2023 - 2026 (4)
Highly citedNo

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