Transformation of A Sustainable City Using Object-Oriented Techniques for Urban Green Space Planning – A Case Study of Lusaka City

Authors

  • Dr. Penjani Hopkins Nyimbili Department of Geomatic Engineering, School of Engineering, University of Zambia, Lusaka, Zambia
  • BEng. Otilia Muyabi Department of Geomatic Engineering, School of Engineering, University of Zambia, Lusaka, Zambia
  • MSc. Masauso Sakala Department of Geomatic Engineering, School of Engineering, University of Zambia, Lusaka, Zambia
  • Dr. Alick R. Mwanza Department of Geomatic Engineering, School of Engineering, University of Zambia, Lusaka, Zambia
  • Dr. Ethel Tembo Mwanaumo University of Zambia, Lusaka, Zambia
  • Prof. Dr. Erastus Misheng’u Mwanaumo Department of Civil and Environmental Engineering, School of Engineering, University of Zambia, Lusaka, Zambia
  • Prof. Dr. Wellington Didibhuku Thwala Faculty of Engineering, Built Environment and Information Technology, Walter Sisulu University, Eastern Cape, South Africa

DOI:

https://doi.org/10.38027/ICCAUA2024EN0041

Keywords:

Land resource planning, Urban green spaces, Remote Sensing, Object-based classification, Google Earth Engine

Abstract

Effective land resource management and sustainable development, particularly in urban green spaces, rely on strategic
land planning and mapping techniques such as Remote Sensing. This study utilises object-based classification techniques,
employing Google Earth Engine and Quantum Geographic Information Systems (QGIS), to examine Lusaka City's green
space encroachment. Findings reveal a 59% increase in built-up areas towards the north-east direction and a 2% decline
in green spaces towards the south-east part of Lusaka. The implications are significant, highlighting the urgent need for
intervention to preserve the city's environmental balance. Immediate action is essential, requiring rigorous regulations,
community engagement, and stakeholder collaboration. Furthermore, the study underscores the critical role of remote
sensing in monitoring urban green spaces and identifying sustainability threats, emphasising the importance of prioritising
the protection and improvement of green spaces through comprehensive land use planning and land use land cover
mapping through the use of object-based classification techniques.

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Published

2024-06-30

How to Cite

Nyimbili, P. H., Muyabi, O., Sakala, M., Mwanza, A. R., Mwanaumo, E. T., Mwanaumo, E. M., & Thwala, W. D. (2024). Transformation of A Sustainable City Using Object-Oriented Techniques for Urban Green Space Planning – A Case Study of Lusaka City. Proceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA, 7(1), 438–451. https://doi.org/10.38027/ICCAUA2024EN0041

Issue

Vol. 7 No. 1 (2024): Vol. 7 No. 1 (2024): 7th International Conference of Contemporary Affairs in Architecture and Urbanism (ICCAUA2024)

Section

Sustainability and Urban Design

License

Copyright (c) 2024 Dr. Penjani Hopkins Nyimbili, BEng. Otilia Muyabi, MSc. Masauso Sakala, Dr. Alick R. Mwanza, Dr. Ethel Tembo Mwanaumo, Prof. Dr. Erastus Misheng’u Mwanaumo , Prof. Dr. Wellington Didibhuku Thwala

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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