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Exploring the nexus between land use land cover (LULC) changes and population growth in a planned city of islamabad and unplanned city of Rawalpindi, Pakistan
For the last three decades, Islamabad - a planned city, and Rawalpindi - an unplanned city, have experienced massive land use and land cover changes. The main objective of this study was a comparative assessment and quantification of LULC changes in relation to population growth and urbanization fro...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905946/ https://www.ncbi.nlm.nih.gov/pubmed/36761822 http://dx.doi.org/10.1016/j.heliyon.2023.e13297 |
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author | Kamran Khan, Junaid Aziz Khayyam, Umer Waheed, Abdul Khokhar, Muhammad Fahim |
author_facet | Kamran Khan, Junaid Aziz Khayyam, Umer Waheed, Abdul Khokhar, Muhammad Fahim |
author_sort | Kamran |
collection | PubMed |
description | For the last three decades, Islamabad - a planned city, and Rawalpindi - an unplanned city, have experienced massive land use and land cover changes. The main objective of this study was a comparative assessment and quantification of LULC changes in relation to population growth and urbanization from 1990 to 2021 with the help of satellite imagery and population data in planned and unplanned cities. For classification four land-use land cover classes: built-up, vegetation, bare land, and water were selected. Maximum likelihood algorithm and confusion matrix were employed for classification and accuracy assessment. Results revealed that built-up increased from 5.7% (52 km(2)) to 25.7% (233 km(2)) and 3.7% (60 km(2)) to 14.1% (228 km(2)) from 1990 to 2021 for Islamabad and Rawalpindi, respectively. Wherein the bare land decreased from 42.2% (382 km(2)) to 18.1% (164 km(2)) in Islamabad and 65.5% (1058 km(2)) to 32.1% (518 km(2)) in Rawalpindi. Vegetation showed an increment of 4.7% for Islamabad and 24.5% for Rawalpindi. Surface water bodies decreased in both study areas. Population growth showed a strong positive correlation with the built-up class and a strong negative correlation with the bare land class for both cities. The outcomes of this study may be helpful in policymaking for better planning and management of land use land cover and urban sprawl in the context of sustainable development goals. |
format | Online Article Text |
id | pubmed-9905946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99059462023-02-08 Exploring the nexus between land use land cover (LULC) changes and population growth in a planned city of islamabad and unplanned city of Rawalpindi, Pakistan Kamran Khan, Junaid Aziz Khayyam, Umer Waheed, Abdul Khokhar, Muhammad Fahim Heliyon Research Article For the last three decades, Islamabad - a planned city, and Rawalpindi - an unplanned city, have experienced massive land use and land cover changes. The main objective of this study was a comparative assessment and quantification of LULC changes in relation to population growth and urbanization from 1990 to 2021 with the help of satellite imagery and population data in planned and unplanned cities. For classification four land-use land cover classes: built-up, vegetation, bare land, and water were selected. Maximum likelihood algorithm and confusion matrix were employed for classification and accuracy assessment. Results revealed that built-up increased from 5.7% (52 km(2)) to 25.7% (233 km(2)) and 3.7% (60 km(2)) to 14.1% (228 km(2)) from 1990 to 2021 for Islamabad and Rawalpindi, respectively. Wherein the bare land decreased from 42.2% (382 km(2)) to 18.1% (164 km(2)) in Islamabad and 65.5% (1058 km(2)) to 32.1% (518 km(2)) in Rawalpindi. Vegetation showed an increment of 4.7% for Islamabad and 24.5% for Rawalpindi. Surface water bodies decreased in both study areas. Population growth showed a strong positive correlation with the built-up class and a strong negative correlation with the bare land class for both cities. The outcomes of this study may be helpful in policymaking for better planning and management of land use land cover and urban sprawl in the context of sustainable development goals. Elsevier 2023-01-31 /pmc/articles/PMC9905946/ /pubmed/36761822 http://dx.doi.org/10.1016/j.heliyon.2023.e13297 Text en © 2023 The Authors 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 | Research Article Kamran Khan, Junaid Aziz Khayyam, Umer Waheed, Abdul Khokhar, Muhammad Fahim Exploring the nexus between land use land cover (LULC) changes and population growth in a planned city of islamabad and unplanned city of Rawalpindi, Pakistan |
title | Exploring the nexus between land use land cover (LULC) changes and population growth in a planned city of islamabad and unplanned city of Rawalpindi, Pakistan |
title_full | Exploring the nexus between land use land cover (LULC) changes and population growth in a planned city of islamabad and unplanned city of Rawalpindi, Pakistan |
title_fullStr | Exploring the nexus between land use land cover (LULC) changes and population growth in a planned city of islamabad and unplanned city of Rawalpindi, Pakistan |
title_full_unstemmed | Exploring the nexus between land use land cover (LULC) changes and population growth in a planned city of islamabad and unplanned city of Rawalpindi, Pakistan |
title_short | Exploring the nexus between land use land cover (LULC) changes and population growth in a planned city of islamabad and unplanned city of Rawalpindi, Pakistan |
title_sort | exploring the nexus between land use land cover (lulc) changes and population growth in a planned city of islamabad and unplanned city of rawalpindi, pakistan |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905946/ https://www.ncbi.nlm.nih.gov/pubmed/36761822 http://dx.doi.org/10.1016/j.heliyon.2023.e13297 |
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