Urban Development in West Africa—Monitoring and Intensity Analysis of Slum Growth in Lagos: Linking Pattern and Process

Upgrading all slums in Lagos by 2030 will an ambitious task, given that more than 70% of its residents resides in slums. Furthermore, there is no recent study identifying neither the slums nor their temporal growth/development pattern in Lagos that can backstop any slum management initiative. This s...

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Main Authors: Olabisi S. Badmos, Andreas Rienow, Daniel Callo-Concha, Klaus Greve, Carsten Jürgens
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/10/7/1044
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spelling doaj-579da1d0f9384497b7b750f6d6beaf362020-11-25T00:37:28ZengMDPI AGRemote Sensing2072-42922018-07-01107104410.3390/rs10071044rs10071044Urban Development in West Africa—Monitoring and Intensity Analysis of Slum Growth in Lagos: Linking Pattern and ProcessOlabisi S. Badmos0Andreas Rienow1Daniel Callo-Concha2Klaus Greve3Carsten Jürgens4Center for Development Research, University of Bonn, Genscherallee 3, D-53113 Bonn, GermanyDepartment of Geography, Ruhr-University Bochum, Universitätsstr. 104/Building UNI 104, D-44799 Bochum, GermanyCenter for Development Research, University of Bonn, Genscherallee 3, D-53113 Bonn, GermanyDepartment of Geography, University of Bonn, Meckenheimer Allee 166, 53115 Bonn, GermanyDepartment of Geography, Ruhr-University Bochum, Universitätsstr. 104/Building UNI 104, D-44799 Bochum, GermanyUpgrading all slums in Lagos by 2030 will an ambitious task, given that more than 70% of its residents resides in slums. Furthermore, there is no recent study identifying neither the slums nor their temporal growth/development pattern in Lagos that can backstop any slum management initiative. This study aims to contribute by applying object-based image analysis and intensity analysis to map and link patterns and processes of slum growth in Lagos. RapidEye imagery from 2009 and 2015 were used to create maps for each time point for six land use categories (water, vegetated area, open space, road, slum, and other urban). Intensity analysis was applied to quantify the annual intensity of changes at the category and transition level. An overall accuracy (and kappa coefficient) of 94% (0.9) and 89% (0.86) were achieved for the 2009 and 2015 land use and land cover maps, respectively. This study showed that slums in Lagos have increased spatially during the time interval studied, with a total net gain of 9.18 square kilometers, influenced by the increase in population, mainly due to in-migration to Lagos. However, this study also revealed that slums were actively losing and gaining land area between 2009 and 2015, with an annual gain and loss intensity of 10.08 and 6.41, respectively, compared to the uniform intensity of 3.15. The gain was due to poor maintenance of buildings and encroachment onto available spaces (water and open space), while the loss was attributed to gentrification and demolition processes. A systematic process of transition was observed between slums and other urban (and open space) areas in the interval studied, and this process was mainly influenced by the Lagos state government. This analysis is crucial for designing policy interventions to manage slum growth in Lagos.http://www.mdpi.com/2072-4292/10/7/1044slumobject based image analysisintensity analysisLagos
collection DOAJ
language English
format Article
sources DOAJ
author Olabisi S. Badmos
Andreas Rienow
Daniel Callo-Concha
Klaus Greve
Carsten Jürgens
spellingShingle Olabisi S. Badmos
Andreas Rienow
Daniel Callo-Concha
Klaus Greve
Carsten Jürgens
Urban Development in West Africa—Monitoring and Intensity Analysis of Slum Growth in Lagos: Linking Pattern and Process
Remote Sensing
slum
object based image analysis
intensity analysis
Lagos
author_facet Olabisi S. Badmos
Andreas Rienow
Daniel Callo-Concha
Klaus Greve
Carsten Jürgens
author_sort Olabisi S. Badmos
title Urban Development in West Africa—Monitoring and Intensity Analysis of Slum Growth in Lagos: Linking Pattern and Process
title_short Urban Development in West Africa—Monitoring and Intensity Analysis of Slum Growth in Lagos: Linking Pattern and Process
title_full Urban Development in West Africa—Monitoring and Intensity Analysis of Slum Growth in Lagos: Linking Pattern and Process
title_fullStr Urban Development in West Africa—Monitoring and Intensity Analysis of Slum Growth in Lagos: Linking Pattern and Process
title_full_unstemmed Urban Development in West Africa—Monitoring and Intensity Analysis of Slum Growth in Lagos: Linking Pattern and Process
title_sort urban development in west africa—monitoring and intensity analysis of slum growth in lagos: linking pattern and process
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2018-07-01
description Upgrading all slums in Lagos by 2030 will an ambitious task, given that more than 70% of its residents resides in slums. Furthermore, there is no recent study identifying neither the slums nor their temporal growth/development pattern in Lagos that can backstop any slum management initiative. This study aims to contribute by applying object-based image analysis and intensity analysis to map and link patterns and processes of slum growth in Lagos. RapidEye imagery from 2009 and 2015 were used to create maps for each time point for six land use categories (water, vegetated area, open space, road, slum, and other urban). Intensity analysis was applied to quantify the annual intensity of changes at the category and transition level. An overall accuracy (and kappa coefficient) of 94% (0.9) and 89% (0.86) were achieved for the 2009 and 2015 land use and land cover maps, respectively. This study showed that slums in Lagos have increased spatially during the time interval studied, with a total net gain of 9.18 square kilometers, influenced by the increase in population, mainly due to in-migration to Lagos. However, this study also revealed that slums were actively losing and gaining land area between 2009 and 2015, with an annual gain and loss intensity of 10.08 and 6.41, respectively, compared to the uniform intensity of 3.15. The gain was due to poor maintenance of buildings and encroachment onto available spaces (water and open space), while the loss was attributed to gentrification and demolition processes. A systematic process of transition was observed between slums and other urban (and open space) areas in the interval studied, and this process was mainly influenced by the Lagos state government. This analysis is crucial for designing policy interventions to manage slum growth in Lagos.
topic slum
object based image analysis
intensity analysis
Lagos
url http://www.mdpi.com/2072-4292/10/7/1044
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