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

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 Informa...

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Glavni autori: Penjani Hopkins Nyimbili, Otilia Muyabi, Masauso Sakala, Alick R. Mwanza, Ethel Tembo Mwanaumo, Erastus Misheng’u Mwanaumo, Wellington Didibhuku Thwala
Format: Članak
Jezik:English
Izdano: Alanya Üniversitesi 2024-06-01
Serija:Proceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA
Teme:
Online pristup:https://journal.iccaua.com/jiccaua/article/view/499
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author Penjani Hopkins Nyimbili
Otilia Muyabi
Masauso Sakala
Alick R. Mwanza
Ethel Tembo Mwanaumo
Erastus Misheng’u Mwanaumo
Wellington Didibhuku Thwala
author_facet Penjani Hopkins Nyimbili
Otilia Muyabi
Masauso Sakala
Alick R. Mwanza
Ethel Tembo Mwanaumo
Erastus Misheng’u Mwanaumo
Wellington Didibhuku Thwala
author_sort Penjani Hopkins Nyimbili
collection DOAJ
description 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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spelling doaj.art-63cd955a40784182b515a5b6f2231aee2025-03-04T10:05:15ZengAlanya ÜniversitesiProceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA3023-70092024-06-017110.38027/ICCAUA2024EN0041Transformation of A Sustainable City Using Object-Oriented Techniques for Urban Green Space Planning – A Case Study of Lusaka CityPenjani Hopkins Nyimbili0Otilia Muyabi1Masauso Sakala2Alick R. Mwanza3Ethel Tembo Mwanaumo4Erastus Misheng’u Mwanaumo5Wellington Didibhuku Thwala6Department of Geomatic Engineering, School of Engineering, University of Zambia, Lusaka, ZambiaDepartment of Geomatic Engineering, School of Engineering, University of Zambia, Lusaka, ZambiaDepartment of Geomatic Engineering, School of Engineering, University of Zambia, Lusaka, ZambiaDepartment of Geomatic Engineering, School of Engineering, University of Zambia, Lusaka, ZambiaUniversity of Zambia, Lusaka, ZambiaDepartment of Civil and Environmental Engineering, School of Engineering, University of Zambia, Lusaka, ZambiaFaculty of Engineering, Built Environment and Information Technology, Walter Sisulu University, Eastern Cape, South Africa 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. https://journal.iccaua.com/jiccaua/article/view/499Land resource planningUrban green spacesRemote SensingObject-based classificationGoogle Earth Engine
spellingShingle Penjani Hopkins Nyimbili
Otilia Muyabi
Masauso Sakala
Alick R. Mwanza
Ethel Tembo Mwanaumo
Erastus Misheng’u Mwanaumo
Wellington Didibhuku Thwala
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
Land resource planning
Urban green spaces
Remote Sensing
Object-based classification
Google Earth Engine
title Transformation of A Sustainable City Using Object-Oriented Techniques for Urban Green Space Planning – A Case Study of Lusaka City
title_full Transformation of A Sustainable City Using Object-Oriented Techniques for Urban Green Space Planning – A Case Study of Lusaka City
title_fullStr Transformation of A Sustainable City Using Object-Oriented Techniques for Urban Green Space Planning – A Case Study of Lusaka City
title_full_unstemmed Transformation of A Sustainable City Using Object-Oriented Techniques for Urban Green Space Planning – A Case Study of Lusaka City
title_short Transformation of A Sustainable City Using Object-Oriented Techniques for Urban Green Space Planning – A Case Study of Lusaka City
title_sort transformation of a sustainable city using object oriented techniques for urban green space planning a case study of lusaka city
topic Land resource planning
Urban green spaces
Remote Sensing
Object-based classification
Google Earth Engine
url https://journal.iccaua.com/jiccaua/article/view/499
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