New Composite Nighttime Light Index (NCNTL): A New Index for Urbanization Evaluation Research

This article employs the 2018 National Polar-Orbiting Partnership/Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) and Luojia_01 nighttime light imagery to construct a New Composite Nighttime Light Index, which is NCNTL. The reliability of NCNTL is verified based on the an...

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Main Authors: Haofan Ran, Fei Zhang, Ngai Weng Chan, Mou Leong Tan, Hsiang-Te Kung, Jingchao Shi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10075337/
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author Haofan Ran
Fei Zhang
Ngai Weng Chan
Mou Leong Tan
Hsiang-Te Kung
Jingchao Shi
author_facet Haofan Ran
Fei Zhang
Ngai Weng Chan
Mou Leong Tan
Hsiang-Te Kung
Jingchao Shi
author_sort Haofan Ran
collection DOAJ
description This article employs the 2018 National Polar-Orbiting Partnership/Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) and Luojia_01 nighttime light imagery to construct a New Composite Nighttime Light Index, which is NCNTL. The reliability of NCNTL is verified based on the analysis of urban road network, population, and Landsat normalized difference vegetation index auxiliary data. The research found some differences between the NPP/VIIRS and the Luojia_01 nighttime light imagery in detecting urban areas by comparing and analyzing the urban area factor of the Xinjiang region. Therefore, NCNTL was developed to solve this issue. First, a more significant improvement of correlation was found between NCNTL and the city-related factors than that in a single nighttime light imagery source. Second, the conformation of the NCNTL integration of the characteristics of multisource nighttime light was achieved to a certain extent by using NPP/VIIRS and Luojia_01 to extract urban area features. Third, NCNTL outperformed the single-source data in extracting small- and medium-sized cities in southern Xinjiang. With the application of the new nighttime index, researchers can now fuse nighttime light imagery easily to perform urban analysis. Although the quality of NCNTL is similar to nighttime light imagery processed using multisource auxiliary data, it can greatly reduce the workload in urban analysis and decrease the complex task requirement of collecting data from multiple sources.
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spelling doaj.art-f8aeb1f35d604796a2659b5d68258ed32023-04-11T23:00:11ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352023-01-01163418343410.1109/JSTARS.2023.325875410075337New Composite Nighttime Light Index (NCNTL): A New Index for Urbanization Evaluation ResearchHaofan Ran0https://orcid.org/0000-0002-1065-7116Fei Zhang1https://orcid.org/0000-0002-1194-8513Ngai Weng Chan2https://orcid.org/0000-0003-3257-3922Mou Leong Tan3https://orcid.org/0000-0003-3939-0336Hsiang-Te Kung4Jingchao Shi5University of Chinese Academy of Sciences, Beijing, ChinaCollege of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, ChinaGeoInformatic Unit, Geography Section, School of Humanities, Universiti Sains Malaysia, Penang, MalaysiaGeoInformatic Unit, Geography Section, School of Humanities, Universiti Sains Malaysia, Penang, MalaysiaDepartment of Earth Sciences, University of Memphis, Memphis, TN, USADepartment of Earth Sciences, University of Memphis, Memphis, TN, USAThis article employs the 2018 National Polar-Orbiting Partnership/Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) and Luojia_01 nighttime light imagery to construct a New Composite Nighttime Light Index, which is NCNTL. The reliability of NCNTL is verified based on the analysis of urban road network, population, and Landsat normalized difference vegetation index auxiliary data. The research found some differences between the NPP/VIIRS and the Luojia_01 nighttime light imagery in detecting urban areas by comparing and analyzing the urban area factor of the Xinjiang region. Therefore, NCNTL was developed to solve this issue. First, a more significant improvement of correlation was found between NCNTL and the city-related factors than that in a single nighttime light imagery source. Second, the conformation of the NCNTL integration of the characteristics of multisource nighttime light was achieved to a certain extent by using NPP/VIIRS and Luojia_01 to extract urban area features. Third, NCNTL outperformed the single-source data in extracting small- and medium-sized cities in southern Xinjiang. With the application of the new nighttime index, researchers can now fuse nighttime light imagery easily to perform urban analysis. Although the quality of NCNTL is similar to nighttime light imagery processed using multisource auxiliary data, it can greatly reduce the workload in urban analysis and decrease the complex task requirement of collecting data from multiple sources.https://ieeexplore.ieee.org/document/10075337/Luojia_01National Polar-Orbiting Partner- ship/Visible Infrared Imaging Radiometer Suite (NPP/VIIRS)urbanization
spellingShingle Haofan Ran
Fei Zhang
Ngai Weng Chan
Mou Leong Tan
Hsiang-Te Kung
Jingchao Shi
New Composite Nighttime Light Index (NCNTL): A New Index for Urbanization Evaluation Research
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Luojia_01
National Polar-Orbiting Partner- ship/Visible Infrared Imaging Radiometer Suite (NPP/VIIRS)
urbanization
title New Composite Nighttime Light Index (NCNTL): A New Index for Urbanization Evaluation Research
title_full New Composite Nighttime Light Index (NCNTL): A New Index for Urbanization Evaluation Research
title_fullStr New Composite Nighttime Light Index (NCNTL): A New Index for Urbanization Evaluation Research
title_full_unstemmed New Composite Nighttime Light Index (NCNTL): A New Index for Urbanization Evaluation Research
title_short New Composite Nighttime Light Index (NCNTL): A New Index for Urbanization Evaluation Research
title_sort new composite nighttime light index ncntl a new index for urbanization evaluation research
topic Luojia_01
National Polar-Orbiting Partner- ship/Visible Infrared Imaging Radiometer Suite (NPP/VIIRS)
urbanization
url https://ieeexplore.ieee.org/document/10075337/
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AT ngaiwengchan newcompositenighttimelightindexncntlanewindexforurbanizationevaluationresearch
AT mouleongtan newcompositenighttimelightindexncntlanewindexforurbanizationevaluationresearch
AT hsiangtekung newcompositenighttimelightindexncntlanewindexforurbanizationevaluationresearch
AT jingchaoshi newcompositenighttimelightindexncntlanewindexforurbanizationevaluationresearch