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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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 |
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