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Assessment of Urban Green Space Dynamics in Dhaka South City Corporation of Bangladesh Using Geospatial Techniques

Author

Listed:
  • Maliha Sanzana Misty

    (Department of Geography and Environment, Jagannath University, Dhaka 1100, Bangladesh)

  • Muhammad Al-Amin Hoque

    (Department of Geography and Environment, Jagannath University, Dhaka 1100, Bangladesh
    Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia)

  • Sharif A. Mukul

    (Department of Environment and Development Studies, United International University, Dhaka 1212, Bangladesh
    School of Science, Technology and Engineering (SSTE), University of the Sunshine Coast, Maroochydore, QLD 4558, Australia
    Department of Earth and Environment, Florida International University, Miami, FL 33199, USA)

Abstract

Green spaces play a critical role in enhancing the urban environment, improving livability, and providing essential ecosystem services. A city should have at least 25% green space from an environmental and health point of view. However, quantitative estimation is required to assess the extent and pattern of green space changes for proper urban management. The present study aimed to identify and track the changes in urban green spaces within the Dhaka South City Corporation (DSCC) of Bangladesh over a 30-year period (i.e., 1991–2021). Geospatial techniques were utilized to analyze green space dynamics using Landsat 4–5 TM satellite images from 1991, 2001, and 2011 and Landsat 8 images from 2021. Supervised image classification techniques and Normalized Difference Vegetation Index (NDVI) analysis were performed to assess the urban green space dynamics in DSCC. The results of our study revealed a significant 36.5% reduction in vegetation cover in the DSCC area over the study period. In 1991, the green area coverage in DSCC was 46%, indicating a relatively healthy environment. By 2001, this coverage had declined sharply to 21.3%, further decreasing to 19.7% in 2011, and reaching a low of just 9.5% in 2021. The classified maps generated in the study were validated through field observations and Google Earth images. The outcomes of our study will be helpful for policymakers and city planners in developing and applying appropriate policies and plans to preserve and improve urban green spaces in DSCC in Bangladesh and other Asian megacities with high population density.

Suggested Citation

  • Maliha Sanzana Misty & Muhammad Al-Amin Hoque & Sharif A. Mukul, 2024. "Assessment of Urban Green Space Dynamics in Dhaka South City Corporation of Bangladesh Using Geospatial Techniques," Land, MDPI, vol. 13(9), pages 1-17, September.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:9:p:1426-:d:1470981
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    References listed on IDEAS

    as
    1. Md. Mizanur Rahman & Hamidul Huq & Sharif A. Mukul, 2023. "Implications of Changing Urban Land Use on the Livelihoods of Local People in Northwestern Bangladesh," Sustainability, MDPI, vol. 15(15), pages 1-15, July.
    2. K M Atikur Rahman & Dunfu Zhang, 2018. "Analyzing the Level of Accessibility of Public Urban Green Spaces to Different Socially Vulnerable Groups of People," Sustainability, MDPI, vol. 10(11), pages 1-27, October.
    3. Jiayu Yan & Huiping Liu & Shangyuan Yu & Xiaowen Zong & Yao Shan, 2023. "Classification of Urban Green Space Types Using Machine Learning Optimized by Marine Predators Algorithm," Sustainability, MDPI, vol. 15(7), pages 1-18, March.
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