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

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 ap...

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Main Authors: Moussa Aliou Keita, Renzong Ruan, Ru An
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Urban Science
Subjects:
Online Access:https://www.mdpi.com/2413-8851/5/1/4
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spelling doaj-b6d4f71a2edd4d619b019e707fb50b092020-12-30T00:00:48ZengMDPI AGUrban Science2413-88512021-12-0154410.3390/urbansci5010004Spatiotemporal Change of Urban Sprawl Patterns in Bamako District in Mali Based on Time Series AnalysisMoussa Aliou Keita0Renzong Ruan1Ru An2School of the Earth Sciences and Engineering, Hohai University, Nanjing 211100, ChinaSchool of the Hydrology and Water Resources, Hohai University, Nanjing 211100, ChinaSchool of the Hydrology and Water Resources, Hohai University, Nanjing 211100, ChinaFor 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.https://www.mdpi.com/2413-8851/5/1/4urban sprawl patternsBamako districtlandscape indexpatterns changeMali
collection DOAJ
language English
format Article
sources DOAJ
author Moussa Aliou Keita
Renzong Ruan
Ru An
spellingShingle Moussa Aliou Keita
Renzong Ruan
Ru An
Spatiotemporal Change of Urban Sprawl Patterns in Bamako District in Mali Based on Time Series Analysis
Urban Science
urban sprawl patterns
Bamako district
landscape index
patterns change
Mali
author_facet Moussa Aliou Keita
Renzong Ruan
Ru An
author_sort Moussa Aliou Keita
title Spatiotemporal Change of Urban Sprawl Patterns in Bamako District in Mali Based on Time Series Analysis
title_short Spatiotemporal Change of Urban Sprawl Patterns in Bamako District in Mali Based on Time Series Analysis
title_full Spatiotemporal Change of Urban Sprawl Patterns in Bamako District in Mali Based on Time Series Analysis
title_fullStr Spatiotemporal Change of Urban Sprawl Patterns in Bamako District in Mali Based on Time Series Analysis
title_full_unstemmed Spatiotemporal Change of Urban Sprawl Patterns in Bamako District in Mali Based on Time Series Analysis
title_sort spatiotemporal change of urban sprawl patterns in bamako district in mali based on time series analysis
publisher MDPI AG
series Urban Science
issn 2413-8851
publishDate 2021-12-01
description 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.
topic urban sprawl patterns
Bamako district
landscape index
patterns change
Mali
url https://www.mdpi.com/2413-8851/5/1/4
work_keys_str_mv AT moussaalioukeita spatiotemporalchangeofurbansprawlpatternsinbamakodistrictinmalibasedontimeseriesanalysis
AT renzongruan spatiotemporalchangeofurbansprawlpatternsinbamakodistrictinmalibasedontimeseriesanalysis
AT ruan spatiotemporalchangeofurbansprawlpatternsinbamakodistrictinmalibasedontimeseriesanalysis
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