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Dynamics of Land Use and Land Cover Changes in Harare, Zimbabwe: A Case Study on the Linkage between Drivers and the Axis of Urban Expansion

Author

Listed:
  • Andrew K. Marondedze

    (Department of Earth Sciences, Physical Geography, Freie Universität Berlin, Malteserstr. 74-100, Haus H, 12249 Berlin, Germany)

  • Brigitta Schütt

    (Department of Earth Sciences, Physical Geography, Freie Universität Berlin, Malteserstr. 74-100, Haus H, 12249 Berlin, Germany)

Abstract

With increasing population growth, the Harare Metropolitan Province has experienced accelerated land use and land cover (LULC) changes, influencing the city’s growth. This study aims to assess spatiotemporal urban LULC changes, the axis, and patterns of growth as well as drivers influencing urban growth over the past three decades in the Harare Metropolitan Province. The analysis was based on remotely sensed Landsat Thematic Mapper and Operational Land Imager data from 1984–2018, GIS application, and binary logistic regression. Supervised image classification using support vector machines was performed on Landsat 5 TM and Landsat 8 OLI data combined with the soil adjusted vegetation index, enhanced built-up and bareness index and modified difference water index. Statistical modelling was performed using binary logistic regression to identify the influence of the slope and the distance proximity characters as independent variables on urban growth. The overall mapping accuracy for all time periods was over 85%. Built-up areas extended from 279.5 km 2 (1984) to 445 km 2 (2018) with high-density residential areas growing dramatically from 51.2 km 2 (1984) to 218.4 km 2 (2018). The results suggest that urban growth was influenced mainly by the presence and density of road networks.

Suggested Citation

  • Andrew K. Marondedze & Brigitta Schütt, 2019. "Dynamics of Land Use and Land Cover Changes in Harare, Zimbabwe: A Case Study on the Linkage between Drivers and the Axis of Urban Expansion," Land, MDPI, vol. 8(10), pages 1-20, October.
    • Handle: RePEc:gam:jlands:v:8:y:2019:i:10:p:155-:d:278427
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    References listed on IDEAS

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    1. Norbert Anselm & Grischa Brokamp & Brigitta Schütt, 2018. "Assessment of Land Cover Change in Peri-Urban High Andean Environments South of Bogotá, Colombia," Land, MDPI, vol. 7(2), pages 1-28, June.
    2. Herron, Michael C., 1999. "Postestimation Uncertainty in Limited Dependent Variable Models," Political Analysis, Cambridge University Press, vol. 8(1), pages 83-98, January.
    3. Henry Schubert & Andrés Caballero Calvo & Markus Rauchecker & Oscar Rojas-Zamora & Grischa Brokamp & Brigitta Schütt, 2018. "Assessment of Land Cover Changes in the Hinterland of Barranquilla (Colombia) Using Landsat Imagery and Logistic Regression," Land, MDPI, vol. 7(4), pages 1-24, December.
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    Cited by:

    1. Andrew K. Marondedze & Brigitta Schütt, 2020. "Assessment of Soil Erosion Using the RUSLE Model for the Epworth District of the Harare Metropolitan Province, Zimbabwe," Sustainability, MDPI, vol. 12(20), pages 1-24, October.
    2. Alysha van Duynhoven & Suzana Dragićević, 2021. "Exploring the Sensitivity of Recurrent Neural Network Models for Forecasting Land Cover Change," Land, MDPI, vol. 10(3), pages 1-29, March.
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    4. Jiangjun Wan & Yi Su & Huanglin Zan & Yutong Zhao & Lingqing Zhang & Shaoyao Zhang & Xiangyu Dong & Wei Deng, 2020. "Land Functions, Rural Space Governance, and Farmers’ Environmental Perceptions: A Case Study from the Huanjiang Karst Mountain Area, China," Land, MDPI, vol. 9(5), pages 1-19, April.
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    6. Mawuli Asempah & Wahib Sahwan & Brigitta Schütt, 2021. "Assessment of Land Cover Dynamics and Drivers of Urban Expansion Using Geospatial and Logistic Regression Approach in Wa Municipality, Ghana," Land, MDPI, vol. 10(11), pages 1-19, November.

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