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Long-term urban land use data in Maputo, Mozambique: A comprehensive dataset covering five decades (1964-2001)

Rapid urban change and expansion pose significant challenges in the Global South, and Maputo, Mozambique, is no exception to this phenomenon. Among the multifaceted dimensions of urban transformations, land use stands out as a key factor in urban planning. The implications on environmental aspects,...

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Autores principales: Henriques, Cristina D., Correia, Ezequiel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539890/
https://www.ncbi.nlm.nih.gov/pubmed/37780461
http://dx.doi.org/10.1016/j.dib.2023.109595
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author Henriques, Cristina D.
Correia, Ezequiel
author_facet Henriques, Cristina D.
Correia, Ezequiel
author_sort Henriques, Cristina D.
collection PubMed
description Rapid urban change and expansion pose significant challenges in the Global South, and Maputo, Mozambique, is no exception to this phenomenon. Among the multifaceted dimensions of urban transformations, land use stands out as a key factor in urban planning. The implications on environmental aspects, availability of land for public services, and overall quality of life make understanding these issues crucial. This paper aims to address the afore mentioned challenges through a two-fold approach. Firstly, it provides open and free access to urban land use maps of Maputo city spanning five decades in a Geographic Information System (GIS) format, enabling the comprehensive study of the city's transformation over time. Secondly, it presents a detailed and comparable classification and nomenclature of urban land use, ensuring consistency and comparability in research and planning endeavors. The land use maps were created using image interpretation techniques, incorporating remote sensing data such as aerial photographs and high-resolution satellite images, as well as fieldwork and ancillary data. By combining these diverse sources, a comprehensive and accurate representation of Maputo's urban land use shapes was achieved. This study contributes to the understanding of urban dynamics and their impacts on various aspects of city life in Maputo. The open access data and detailed classification presented here serve as valuable resources for researchers, planners, and policymakers, facilitating informed decision-making, sustainable development, and effective urban management in Maputo and beyond.
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spelling pubmed-105398902023-09-30 Long-term urban land use data in Maputo, Mozambique: A comprehensive dataset covering five decades (1964-2001) Henriques, Cristina D. Correia, Ezequiel Data Brief Data Article Rapid urban change and expansion pose significant challenges in the Global South, and Maputo, Mozambique, is no exception to this phenomenon. Among the multifaceted dimensions of urban transformations, land use stands out as a key factor in urban planning. The implications on environmental aspects, availability of land for public services, and overall quality of life make understanding these issues crucial. This paper aims to address the afore mentioned challenges through a two-fold approach. Firstly, it provides open and free access to urban land use maps of Maputo city spanning five decades in a Geographic Information System (GIS) format, enabling the comprehensive study of the city's transformation over time. Secondly, it presents a detailed and comparable classification and nomenclature of urban land use, ensuring consistency and comparability in research and planning endeavors. The land use maps were created using image interpretation techniques, incorporating remote sensing data such as aerial photographs and high-resolution satellite images, as well as fieldwork and ancillary data. By combining these diverse sources, a comprehensive and accurate representation of Maputo's urban land use shapes was achieved. This study contributes to the understanding of urban dynamics and their impacts on various aspects of city life in Maputo. The open access data and detailed classification presented here serve as valuable resources for researchers, planners, and policymakers, facilitating informed decision-making, sustainable development, and effective urban management in Maputo and beyond. Elsevier 2023-09-19 /pmc/articles/PMC10539890/ /pubmed/37780461 http://dx.doi.org/10.1016/j.dib.2023.109595 Text en © 2023 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Henriques, Cristina D.
Correia, Ezequiel
Long-term urban land use data in Maputo, Mozambique: A comprehensive dataset covering five decades (1964-2001)
title Long-term urban land use data in Maputo, Mozambique: A comprehensive dataset covering five decades (1964-2001)
title_full Long-term urban land use data in Maputo, Mozambique: A comprehensive dataset covering five decades (1964-2001)
title_fullStr Long-term urban land use data in Maputo, Mozambique: A comprehensive dataset covering five decades (1964-2001)
title_full_unstemmed Long-term urban land use data in Maputo, Mozambique: A comprehensive dataset covering five decades (1964-2001)
title_short Long-term urban land use data in Maputo, Mozambique: A comprehensive dataset covering five decades (1964-2001)
title_sort long-term urban land use data in maputo, mozambique: a comprehensive dataset covering five decades (1964-2001)
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539890/
https://www.ncbi.nlm.nih.gov/pubmed/37780461
http://dx.doi.org/10.1016/j.dib.2023.109595
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