Detecting the Dynamics of Urban Growth in Africa Using DMSP/OLS Nighttime Light Data | Land Portal

Información del recurso

Date of publication: 
Enero 2021
Resource Language: 
ISBN / Resource ID: 
10.3390/land10010013
License of the resource: 
Copyright details: 
© 2021 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article.

Africa has been experiencing a rapid urbanization process, which may lead to an increase in unsustainable land use and urban poverty. Assessing the spatiotemporal characteristics of urbanization dynamics is especially important and needed for the sustainable development of Africa. Satellite-based nighttime light (NTL) data are widely used to monitor the dynamics of urban growth from global to local scales. In this study, urban growth patterns across Africa were analyzed and discussed using stable nighttime light datasets obtained from DMSP/OLS (the Defense Meteorological Satellite Program’s Operational Line-scan System) spanning from 1992 to 2013. We partitioned the nighttime lighting areas into three types (low, medium, and high) using thresholds derived from the Brightness Gradient (BG) method. Our results indicated that built-up areas in Africa have increased rapidly, particularly those areas with low nighttime lighting types. Countries with higher urbanization levels in Africa, like South Africa, Algeria, Egypt, Nigeria, and Libya, were leading the brightening trend. The distribution of nighttime lighting types was consistent with the characteristics of urban development, with high nighttime lighting types showed up at the urban center, whereas medium and low nighttime lighting types appeared in the urban-rural transition zone and rural areas respectively. The impacts of these findings on the future of African cities will be further proposed.

Autores y editores

Author(s), editor(s), contributor(s): 

Jiang, Shengnan
Wei, Guoen
Zhang, Zhenke
Wang, Yue
Xu, Minghui
Wang, Qing
Das, Priyanko
Liu, Binglin

Publisher(s): 

Proveedor de datos

Foco geográfico

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