Assessing the Impact of the Built-Up Environment on Nighttime Lights in China

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 城市与区域生态国家重点实验室

	Assessing the Impact of the Built-Up Environment on Nighttime Lights in China
	Wang, Cheng ; Qin, Haiming ; Zhao, Kaiguang ; Dong, Pinliang ; Yang, Xuebo ; Zhou, Guoqing ; Xi, Xiaohuan
刊名	REMOTE SENSING
	2019-07-02
卷号	11 期号:14 页码:-
关键词	nighttime lights GLAS LiDAR land cover built-up environment
ISSN号	2072-4292
英文摘要	Figuring out the effect of the built-up environment on artificial light at night is essential for better understanding nighttime luminosity in both socioeconomic and ecological perspectives. However, there are few studies linking artificial surface properties to nighttime light (NTL). This study uses a statistical method to investigate effects of construction region environments on nighttime brightness and its variation with building height and regional economic development level. First, we extracted footprint-level target heights from Geoscience Laser Altimeter System (GLAS) waveform light detection and ranging (LiDAR) data. Then, we proposed a set of built-up environment properties, including building coverage, vegetation fraction, building height, and surface-area index, and then extracted these properties from GLAS-derived height, GlobeLand30 land-cover data, and DMSP/OLS radiance-calibrated NTL data. Next, the effects of non-building areas on NTL data were removed based on a supervised method. Finally, linear regression analyses were conducted to analyze the relationships between nighttime lights and built-up environment properties. Results showed that building coverage and vegetation fraction have weak correlations with nighttime lights (R-2 < 0.2), building height has a moderate correlation with nighttime lights (R-2 = 0.48), and surface-area index has a significant correlation with nighttime lights (R-2 = 0.64). The results suggest that surface-area index is a more reasonable measure for estimating light number and intensity of NTL because it takes into account both building coverage and height, i.e., building surface area. Meanwhile, building height contributed to nighttime lights greater than building coverage. Further analysis showed the correlation between NTL and surface-area index becomes stronger with the increase of building height, while it is the weakest when the regional economic development level is the highest. In conclusion, these results can help us better understand the determinants of nighttime lights.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/42692]
专题	生态环境研究中心_城市与区域生态国家重点实验室
作者单位	1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 3.Chinese Acad Sci, State Key Lab Urban & Reg Ecol, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China 4.Ohio State Univ, Ohio Agr Res & Dev Ctr, Wooster, OH 44691 USA 5.Univ North Texas, Dept Geog & Environm, Denton, TX 76203 USA
推荐引用方式 GB/T 7714	Wang, Cheng,Qin, Haiming,Zhao, Kaiguang,et al. Assessing the Impact of the Built-Up Environment on Nighttime Lights in China[J]. REMOTE SENSING,2019,11(14):-.
APA	Wang, Cheng.,Qin, Haiming.,Zhao, Kaiguang.,Dong, Pinliang.,Yang, Xuebo.,...&Xi, Xiaohuan.(2019).Assessing the Impact of the Built-Up Environment on Nighttime Lights in China.REMOTE SENSING,11(14),-.
MLA	Wang, Cheng,et al."Assessing the Impact of the Built-Up Environment on Nighttime Lights in China".REMOTE SENSING 11.14(2019):-.