气候变化领域集成服务门户(CCPortal): Monitoring hourly night-time light by an unmanned aerial vehicle and its implications to satellite remote sensing

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DOI	10.1016/j.rse.2020.111942
	Monitoring hourly night-time light by an unmanned aerial vehicle and its implications to satellite remote sensing
	Li X.; Levin N.; Xie J.; Li D.
发表日期	2020
ISSN	00344257
卷号	247
英文摘要	Satellite-observed night-time light in urban areas has been widely used as an indicator for socioeconomic development and light pollution. Up to present, the diurnal dynamics of city light during the night, which are important to understand the nature of human activity and the underlying variables explaining night-time brightness, have hardly been investigated by remote sensing techniques due to limitation of the revisit time and spatial resolution of available satellites. In this study, we employed a consumer-grade unmanned aerial vehicle (UAV) to monitor city light in a study area located in Wuhan City, China, from 8:08 PM, April 15, 2019 to 5:08 AM, April 16, 2019, with an hourly temporal resolution. By using three ground-based Sky Quality Meters (SQMs), we found that the UAV-recorded light brightness was consistent with the ground luminous intensity measured by the SQMs in both the spatial (R2 = 0.72) and temporal dimensions (R2 > 0.94), and that the average city light brightness was consistent with the sky brightness in the temporal dimension (R2 = 0.98), indicating that UAV images can reliably monitor the city's night-time brightness. The temporal analysis showed that different locations had different patterns of temporal changes in their night-time brightness, implying that inter-calibration of two kinds of satellite images with different overpass times would be a challenge. Combining an urban function map of 18 classes and the hourly UAV images, we found that urban functions differed in their temporal light dynamics. For example, the outdoor sports field lost 97.28% of its measured brightness between 8: 08 PM – 4:05 AM, while an administrative building only lost 4.56%, and the entire study area lost 61.86% of its total brightness. Within our study area, the period between 9:06 PM and 10:05 PM was the period with largest amount of light loss. The spectral analysis we conducted showed that city light colors were different in some urban functions, with the major road being the reddest region at 8:08 PM and becoming even redder at 4:05 AM. This preliminary study indicates that UAVs are a good tool to investigate city light at night, and that city light is very complex in both of the temporal and spatial dimensions, requiring comprehensive investigation using more advanced UAV techniques, and emphasizing the need for geostationary platforms for night-time light sensors. © 2020 The Authors
英文关键词	Hourly dynamic; Night-time light; Spectral analysis; Unmanned aerial vehicle; Urban function
语种	英语
scopus关键词	Antennas; Geostationary satellites; Pollution; Remote sensing; Spectrum analysis; Unmanned aerial vehicles (UAV); Luminous intensity; Remote sensing techniques; Satellite remote sensing; Socio-economic development; Spatial resolution; Temporal and spatial; Temporal dimensions; Temporal resolution; Luminance; human activity; remote sensing; satellite data; satellite imagery; socioeconomic status; spatial resolution; spectral analysis; temporal analysis; unmanned vehicle; urban area; China; Hubei; Wuhan
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179239
作者单位	State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China; Department of Geography, The Hebrew University of Jerusalem, Jerusalem, Israel; Remote Sensing Research Centre, School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia
推荐引用方式 GB/T 7714	Li X.,Levin N.,Xie J.,et al. Monitoring hourly night-time light by an unmanned aerial vehicle and its implications to satellite remote sensing[J],2020,247.
APA	Li X.,Levin N.,Xie J.,&Li D..(2020).Monitoring hourly night-time light by an unmanned aerial vehicle and its implications to satellite remote sensing.Remote Sensing of Environment,247.
MLA	Li X.,et al."Monitoring hourly night-time light by an unmanned aerial vehicle and its implications to satellite remote sensing".Remote Sensing of Environment 247(2020).