Quantitative characterization of global nighttime light: A method for measuring energy intensity based on radiant flux and SNPP-VIIRS data

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Remote Sensing of Environment Pub Date : 2024-12-19 DOI:10.1016/j.rse.2024.114576
Haihang Zeng, Mingming Jia, Xiangyu Ning, Zhaohui Xue, Rong Zhang, Chuanpeng Zhao, Yangyang Yan, Zongming Wang
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Abstract

Nighttime light (NTL) remote sensing has become an important tool to study human activities and their impact on the environment. However, accurately and quantitatively measuring NTL has remained a challenge. In this study, we propose using radiant flux as a more precise measure of NTL energy intensity, which takes into account both radiance and image pixel area. To achieve this, we develop a conversion model from radiance to radiant flux based on the SNPP-VIIRS dataset and calculate the global radiant flux map for 2022. A validation of the model was conducted in 50 representative cities worldwide, confirming its rationality and accuracy. The use of radiant flux provides a more intuitive reflection of NTL energy intensity and eliminates system error caused by variations in pixel areas. This research emphasizes the importance of using a quantitative measurement for NTL and highlights the potential for further evaluation of socio-economic parameters and ecological impacts using NTL radiant flux.
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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