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Application of High-Resolution Remote-Sensing Data for Land Use Land Cover Mapping of University Campus

The study of Land Use Land Cover (LULC) is essential to understanding how land has been altered in recent years and what has caused the processes behind the change. This is significant for the future development of the area, particularly on the campus of the Universitas Padjadjaran Jatinangor. The p...

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Autores principales: Dharmawan, Irwan Ary, Rahadianto, Muhammad Ario Eko, Henry, Edward, Endyana, Cipta, Aufaristama, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352705/
https://www.ncbi.nlm.nih.gov/pubmed/34381317
http://dx.doi.org/10.1155/2021/5519011
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author Dharmawan, Irwan Ary
Rahadianto, Muhammad Ario Eko
Henry, Edward
Endyana, Cipta
Aufaristama, Muhammad
author_facet Dharmawan, Irwan Ary
Rahadianto, Muhammad Ario Eko
Henry, Edward
Endyana, Cipta
Aufaristama, Muhammad
author_sort Dharmawan, Irwan Ary
collection PubMed
description The study of Land Use Land Cover (LULC) is essential to understanding how land has been altered in recent years and what has caused the processes behind the change. This is significant for the future development of the area, particularly on the campus of the Universitas Padjadjaran Jatinangor. The purpose of this study was to apply remote-sensing techniques to map a university campus and vicinity by comparing the area of urban green space (UGS) and floor area ratios (FARs) of the campus in 2015 and 2017. Additionally, surface runoff analysis was also conducted. For our research, we used WorldView-2's high-resolution satellite imagery with a resolution of 0.46 m in the Universitas Padjadjaran (Padjadjaran University, or Unpad) Jatinangor campus, Jawa Barat, Indonesia. Our approach was to interpret the imagery by running the normalized difference vegetation index (NDVI) to distinguish UGS and FAR and using digital elevation model (DEM) interferometric synthetic aperture radar (SAR) data with hydrologic analysis to identify the direction of surface runoff. The results obtained are as follows: the UGS remained more extensive compared with FAR, but the difference decreased over time owing to infrastructure development. Surface runoff has tended to flow toward the southeast in direct relation to the slope configuration.
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spelling pubmed-83527052021-08-10 Application of High-Resolution Remote-Sensing Data for Land Use Land Cover Mapping of University Campus Dharmawan, Irwan Ary Rahadianto, Muhammad Ario Eko Henry, Edward Endyana, Cipta Aufaristama, Muhammad ScientificWorldJournal Research Article The study of Land Use Land Cover (LULC) is essential to understanding how land has been altered in recent years and what has caused the processes behind the change. This is significant for the future development of the area, particularly on the campus of the Universitas Padjadjaran Jatinangor. The purpose of this study was to apply remote-sensing techniques to map a university campus and vicinity by comparing the area of urban green space (UGS) and floor area ratios (FARs) of the campus in 2015 and 2017. Additionally, surface runoff analysis was also conducted. For our research, we used WorldView-2's high-resolution satellite imagery with a resolution of 0.46 m in the Universitas Padjadjaran (Padjadjaran University, or Unpad) Jatinangor campus, Jawa Barat, Indonesia. Our approach was to interpret the imagery by running the normalized difference vegetation index (NDVI) to distinguish UGS and FAR and using digital elevation model (DEM) interferometric synthetic aperture radar (SAR) data with hydrologic analysis to identify the direction of surface runoff. The results obtained are as follows: the UGS remained more extensive compared with FAR, but the difference decreased over time owing to infrastructure development. Surface runoff has tended to flow toward the southeast in direct relation to the slope configuration. Hindawi 2021-07-30 /pmc/articles/PMC8352705/ /pubmed/34381317 http://dx.doi.org/10.1155/2021/5519011 Text en Copyright © 2021 Irwan Ary Dharmawan et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Dharmawan, Irwan Ary
Rahadianto, Muhammad Ario Eko
Henry, Edward
Endyana, Cipta
Aufaristama, Muhammad
Application of High-Resolution Remote-Sensing Data for Land Use Land Cover Mapping of University Campus
title Application of High-Resolution Remote-Sensing Data for Land Use Land Cover Mapping of University Campus
title_full Application of High-Resolution Remote-Sensing Data for Land Use Land Cover Mapping of University Campus
title_fullStr Application of High-Resolution Remote-Sensing Data for Land Use Land Cover Mapping of University Campus
title_full_unstemmed Application of High-Resolution Remote-Sensing Data for Land Use Land Cover Mapping of University Campus
title_short Application of High-Resolution Remote-Sensing Data for Land Use Land Cover Mapping of University Campus
title_sort application of high-resolution remote-sensing data for land use land cover mapping of university campus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352705/
https://www.ncbi.nlm.nih.gov/pubmed/34381317
http://dx.doi.org/10.1155/2021/5519011
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