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Modelling of population density in urban cities using VIIRS night time light data

The changes in the number of population are one of the important measures for several activities such as land-use planning, environmental monitoring, construction design, soil, water and air quality observation. Urbanization accelerates the development of city and residential expansion. Proper plann...

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Main Authors: Deros S.N.M., Din N.M., Norzeli S., Sukri A.M., Bin Baharuddin M.
Other Authors: 57188721836
Format: Article
Published: Science and Engineering Research Support Society 2023
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spelling my.uniten.dspace-243632023-05-29T15:23:00Z Modelling of population density in urban cities using VIIRS night time light data Deros S.N.M. Din N.M. Norzeli S. Sukri A.M. Bin Baharuddin M. 57188721836 9335429400 50061722000 57215610139 35329255600 The changes in the number of population are one of the important measures for several activities such as land-use planning, environmental monitoring, construction design, soil, water and air quality observation. Urbanization accelerates the development of city and residential expansion. Proper planning of urban city needsa thorough observation to maintain good environmental and economic growth. This study was conducted to estimate and model urban population in five cities in Peninsular Malaysia (Ipoh, Johor Bahru, Klang Valley, Kuantan and Pulau Pinang) from night time light images. This image records the light intensity and helped in derive gridded urban population estimation from the number of light radiance acquired by Day/Night band of VIIRS sensor. The results show that the number of population estimation highly correlates to light intensity (R2>0.7). Validation of the polynomial model shows that the population density of estimated and actual population derived by censuses have high similarities and close into each other. � 2019 SERSC. Final 2023-05-29T07:23:00Z 2023-05-29T07:23:00Z 2019 Article 2-s2.0-85081188170 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081188170&partnerID=40&md5=dfba5ae897e53088e83d24a6df54e982 https://irepository.uniten.edu.my/handle/123456789/24363 28 10 150 157 Science and Engineering Research Support Society Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description The changes in the number of population are one of the important measures for several activities such as land-use planning, environmental monitoring, construction design, soil, water and air quality observation. Urbanization accelerates the development of city and residential expansion. Proper planning of urban city needsa thorough observation to maintain good environmental and economic growth. This study was conducted to estimate and model urban population in five cities in Peninsular Malaysia (Ipoh, Johor Bahru, Klang Valley, Kuantan and Pulau Pinang) from night time light images. This image records the light intensity and helped in derive gridded urban population estimation from the number of light radiance acquired by Day/Night band of VIIRS sensor. The results show that the number of population estimation highly correlates to light intensity (R2>0.7). Validation of the polynomial model shows that the population density of estimated and actual population derived by censuses have high similarities and close into each other. � 2019 SERSC.
author2 57188721836
author_facet 57188721836
Deros S.N.M.
Din N.M.
Norzeli S.
Sukri A.M.
Bin Baharuddin M.
format Article
author Deros S.N.M.
Din N.M.
Norzeli S.
Sukri A.M.
Bin Baharuddin M.
spellingShingle Deros S.N.M.
Din N.M.
Norzeli S.
Sukri A.M.
Bin Baharuddin M.
Modelling of population density in urban cities using VIIRS night time light data
author_sort Deros S.N.M.
title Modelling of population density in urban cities using VIIRS night time light data
title_short Modelling of population density in urban cities using VIIRS night time light data
title_full Modelling of population density in urban cities using VIIRS night time light data
title_fullStr Modelling of population density in urban cities using VIIRS night time light data
title_full_unstemmed Modelling of population density in urban cities using VIIRS night time light data
title_sort modelling of population density in urban cities using viirs night time light data
publisher Science and Engineering Research Support Society
publishDate 2023
_version_ 1806423298232287232
score 13.222552

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