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

IF 11.4 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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全球夜间灯光的定量表征：一种基于辐射通量和SNPP-VIIRS数据测量能量强度的方法

夜间光遥感已成为研究人类活动及其对环境影响的重要工具。然而，准确和定量地测量NTL仍然是一个挑战。在这项研究中，我们建议使用辐射通量作为NTL能量强度的更精确测量，它同时考虑了辐射和图像像素面积。为了实现这一目标，我们基于SNPP-VIIRS数据集建立了从辐射强度到辐射通量的转换模型，并计算了2022年全球辐射通量图。在全球50个具有代表性的城市对模型进行了验证，验证了模型的合理性和准确性。辐射通量的使用更直观地反映了NTL能量强度，并消除了由像素区域变化引起的系统误差。这项研究强调了使用NTL定量测量的重要性，并强调了利用NTL辐射通量进一步评估社会经济参数和生态影响的潜力。

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来源期刊

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.