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Impact Quantification of Decentralization in Urban Growth by Extracting Impervious Surfaces Using ISEI in Model Maker

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  • Nana Yaw Danquah Twumasi

    (State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
    Civil Engineering Department, Wa Polytechnic, Box 553, Wa, Upper West Region, Ghana)

  • Chikondi Chisenga

    (State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
    Department of Earth Sciences, Ndata School of Climate and Earth Sciences, Malawi University of Science and Technology, Box 5196, Limbe, Malawi)

  • Nayyer Saleem

    (State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China)

  • Neema Nicodemus Lyimo

    (State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China)

  • Orhan Altan

    (Department of Geomatics, Istanbul Technical University, Istanbul 36626, Turkey)

Abstract

Decentralization problems in Africa have caused some infrastructure disparity between country capitals and distant districts. In Ghana, less public investment has created a gap between implementation results and theoretical benefits. Spectral indices are a good approach to extracting impervious surfaces, which is a good method of measuring urbanization. These are restricted by complexity, sensor limitation, threshold values, and high computational time. In this study, we measure the urbanization dynamics of Wa District in Ghana by applying a proposed method of impervious surface extraction index (ISEI), to evaluate the decentralization policy using Landsat images from 1984–2018 and a single S2A data. Comparing our proposed method with five other existing indexes, ISEI provided good discriminated results between target feature and background, with pixel values ranging between 0 and +1. Other indexes produced negative values. ISEI accuracy varied from 84.62–94.00% while existing indexes varied from 73.85–90.00%. Our results also showed increased impervious surface areas of 83.26 km 2 , which is about 7.72% of total area while the average annual urban growth was recorded as 4.42%. These figures proved that the quantification of decentralization is very positive. The study provides a foundation for urban environment research in the context of decentralization policy.

Suggested Citation

  • Nana Yaw Danquah Twumasi & Chikondi Chisenga & Nayyer Saleem & Neema Nicodemus Lyimo & Orhan Altan, 2020. "Impact Quantification of Decentralization in Urban Growth by Extracting Impervious Surfaces Using ISEI in Model Maker," Sustainability, MDPI, vol. 12(1), pages 1-25, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:1:p:380-:d:304730
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    References listed on IDEAS

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    1. Bernard Dafflon & Thierry Madiès, 2013. "The Political Economy of Decentralization in Sub-Saharan Africa : A New Implementation Model in Burkina Faso, Ghana, Kenya, and Senegal," World Bank Publications - Books, The World Bank Group, number 12235, December.
    2. Berhanu Keno Terfa & Nengcheng Chen & Dandan Liu & Xiang Zhang & Dev Niyogi, 2019. "Urban Expansion in Ethiopia from 1987 to 2017: Characteristics, Spatial Patterns, and Driving Forces," Sustainability, MDPI, vol. 11(10), pages 1-21, May.
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