夜间灯光遥感数据应用综述和展望

doi:10.18306/dlkxjz.2019.02.005

地理科学进展 ›› 2019, Vol. 38 ›› Issue (2): 205-223.doi: 10.18306/dlkxjz.2019.02.005

夜间灯光遥感数据应用综述和展望

陈颖彪^1,²(), 郑子豪^1,^3,^*(), 吴志峰^1,², 千庆兰¹

1. 广州大学地理科学学院,广州 510006
2. 广东省地理国情监测与综合分析工程技术研究中心,广州 510006
3. 帕多瓦大学土地环境农林学部,意大利帕多瓦 35020

收稿日期:2018-04-08 修回日期:2018-09-20 出版日期:2019-02-28 发布日期:2019-02-28
通讯作者: 郑子豪
作者简介:
第一作者简介：陈颖彪(1969— ),男,吉林长春人,博士,教授,主要研究方向为GIS与RS的应用技术。E-mail: gzhuchenyb@126.com
基金资助:
广东省自然科学基金项目(2016A030313551);国家自然科学基金项目(41671430)

Review and prospect of application of nighttime light remote sensing data

Yingbiao CHEN^1,²(), Zihao ZHENG^1,^3,^*(), Zhifeng WU^1,², Qinglan QIAN¹

1. School of Geographic Sciences, Guangzhou University, Guangzhou 510006, China
2. Guangdong Provincial Engineering Technology Research Center for Geographical Condition Monitoring and Comprehensive Analysis, Guangzhou 510006, China
3. Department of Land, Environment, Agriculture and Forestry (TESAF), University of Padua, 35020 Padova, Italy

Received:2018-04-08 Revised:2018-09-20 Online:2019-02-28 Published:2019-02-28
Contact: Zihao ZHENG
Supported by:
Natural Science Foundation of Guangdong Province, No. 2016A030313551;National Natural Science Foundation of China, No. 41671430.

摘要/Abstract

摘要：

在遥感应用研究中,夜间灯光遥感作为发展活跃的一个重要分支,近年来受到越来越多来自自然科学领域和社会经济领域的关注。与传统的光学遥感卫星获取地物辐射信息不同,夜间灯光遥感是获取夜间无云条件下地表发射的可见光-近红外电磁波信息。相比于普通的遥感卫星影像,夜间灯光遥感所使用的夜间灯光影像记录的地表灯光强度信息更直接反映人类活动差异,因而被广泛应用于城市化进程研究、不透水面提取、社会经济指标空间化估算、重大事件评估、生态环境评估等领域。目前,虽然基于夜间灯光数据的应用研究成果正在不断积累,但对成果的系统性总结、整理的研究目前存在着覆盖面不全、时效性不强等不足。基于此,论文通过对近几十年来有关夜间灯光数据的研究成果的详细梳理,从数据处理与技术方法、应用研究等方面进行归纳总结。最后,文章从多源数据融合、应用领域拓展和短周期地表灯光监测3个方面指出了未来的研究热点。

关键词: 夜间灯光, DMSP/OLS, NPP/VIIRS, 遥感, 综述

Abstract:

In remote sensing research, night light remote sensing as an important branch of active development has attracted increasingly more attention from the fields of natural and social science research in recent decades. Different from traditional daytime optical satellite remote sensing that obtains ground object radiation information, nighttime light remote sensing is the acquisition of visible-near-infrared electromagnetic information transmitted from the Earth's surface under cloud-free conditions at night. Compared to the ordinary satellite remote sensing images, ground light intensity information recorded by the night light images directly reflects the difference of human activity. Therefore, it is widely used in urbanization research, extraction of impervious surfaces, estimation of socioeconomic indicators, major events assessment, ecological environment assessment, and other fields. At present, although research results based on nighttime light data are continuously accumulating, there is a general lack of systematic review of these results and the current reviews suffer from incomplete coverage and poor timeliness. Therefore, this article summarizes the research results of nighttime light data in recent decades and examines them from the aspects of data processing and technical approaches, urbanization application research, and parameterization. Finally, we identify the following three research hotspots: multi-source data fusion, application expansion, and short-period surface light monitoring.

Key words: nighttime light, DMSP/OLS, NPP-VIIRS, remote sensing, review

陈颖彪, 郑子豪, 吴志峰, 千庆兰. 夜间灯光遥感数据应用综述和展望[J]. 地理科学进展, 2019, 38(2): 205-223.

Yingbiao CHEN, Zihao ZHENG, Zhifeng WU, Qinglan QIAN. Review and prospect of application of nighttime light remote sensing data[J]. PROGRESS IN GEOGRAPHY, 2019, 38(2): 205-223.

图/表 6

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表3

夜间灯光遥感数据的应用研究总结"

应用领域		主要方法	代表研究
城市化研究	不透水面提取	融合HSI和NDVI	Lu等(2008)基于HIS、NDVI和DMSP/OLS数据对中国华南地区的不透水面进行了有效提取
		融合LUCC	匡文慧等(2011)将人工解译的LUCC融入不透水面指数提取中,实现动态更新的城乡建设用地信息提取
		融合Landsat TM	程熙等(2017)集成了夜间灯光遥感和Landsat TM影像,实现了ISA的自动提取
	建设用地提取	阈值分割法	Zhou等(2014)在提出了一种基于聚类分割的最优阈值分割算法,并有效地运用于不同发展水平的国家及地区
		多时相图像融合法	Small等(2005)将不同时间序列的经过处理的灯光观测频率影像进行了RGB合成,通过图像颜色的变化实现城市扩张及城市发展方向、趋势的探测
		支持向量机法	Cao等(2009)在传统SVM的基础上提出了支持向量机区域增长算法,半自动地实现城市区的提取
	城市发展模式识别	景观指数分析法	廖兵等(2012)和范俊甫等(2013)将景观生态学中的景观指数分析方法引入城市灯光斑块的研究中,探索城市发展空间格局变化特征
		多级划分法	Wu等(2014)根据像元层级的灯光辐射亮度与亮度梯度之间的关系,将城市灯光进行多级划分,动态的研究不同类别之间的占比及变化特征以揭示城市发展的规律
		改进型无穷距离扩展算法	Yu等(2014)开创性地利用改进型无穷距离扩展算法定量表示城市间的空间邻近性以进行城市聚类分析,识别出城市群
		地形分析法	张志刚等(2016)构建灯光亮度和灯光亮度起伏度特征组合值模型,分析灯光亮度和灯光亮度起伏度组合特征,并对城乡结合部进行空间识别
参数空间化	人口	多元灯光指标估算模型	Lo(2001)以多年份中国地区DMSP/OLS夜间灯光数据为基础,采用灯光面积、灯光体积、像素平均值和灯光密度为独立变量,建立人口估算模型,在多级行政单元尺度上估算了中国的平均人口密度
		结合社会统计数据的估算模型	曹丽琴等(2009)利用多时相灯光遥感数据和社会统计数据建立线性模型估算地级市和直辖市人口
		结合LUCC数据的估算模型	梁友嘉等(2012)基于夜间灯光辐射数据和LUCC在像元栅格水平上构建张掖市甘州区人口空间分布
	GDP	全球尺度GDP估算模型	Sutton等(2002)首次绘制了全球1 km分辨率的经济活动地图
		区域尺度GDP总体估算模型	Doll等(2006)绘制了欧洲11个国家及地区5 km分辨率的GDP格网地图
		分产业GDP估算模型	韩向娣等(2012)分产业定量地探讨夜间灯光数据与统计型的社会经济数据的空间关系,并绘制出了全国GDP密度图
	电力能源消耗	单时相电力能源消耗估算模型	Amaral等(2005)以亚马逊河流域为研究区,在区域尺度量化了DMSP/OLS夜间灯光数据和电力能量消耗间的相关性
	电力能源消耗	时间序列电力消耗估算模型	Chand等(2009)基于DMSP/OLS夜间灯光数据对印度开展了长时间序列的电力消耗量时空变化特征研究
	空气污染物	空间插值法	李伟等(2015)基于GIS空间插值分析提出一种新的持续监测城市雾霾天气的方法,并对北京市的PM_2.5浓度进行了反演
		BP神经网络模型	李润亚(2015)则基于日均NTL数据建立了BP神经网络模型用于反演地表PM_2.5浓度
		支持向量机方法	赵笑然等(2017)以北京市作为研究区,基于支持向量机方法建立了夜间城市PM_2.5质量浓度反演模型
灾害评估		相关性分析	张宝军(2018)基于夜间灯光遥感数据, 分析汶川地震极重灾区夜间灯光分布范围和强度的年际变化特点, 探索分析夜间灯光变化与灾害损失的相关关系
渔业研究	渔船定位识别	阈值分割峰值检测算法	郭刚刚等(2017)基于最大熵法阈值分割以及局部峰值检测法,对西北太平洋公海灯光围网渔场船只进行了识别

表3

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校正方法	应用范围	不变目标区	参考标准影像	校正方程
Elvidge et al, 2009	全球	西西里(意大利)	F12 1999	二阶多项式
Wu et al, 2013	全球	波多黎各、毛里求斯和冲绳	RCNTL 2006	幂函数
Zhang et al, 2016	全球	无(使用全局一致的偏差)	F15 2000	二阶多项式
Hsu et al, 2015	全球	洛杉矶	RCNTL 2006	线性函数
Li, Chen, et al, 2013	北京	无(使用全局一致的偏差)	F15 2001	线性函数
Bennie et al, 2014	欧洲	英格兰西南部	F12/F14 2004	六阶多项式
Pandey et al, 2013	印度	勒克瑙地区	F16 2007	二阶多项式
Liu et al, 2012	中国	鸡西市	F16 2007	二阶多项式

夜间灯光遥感数据应用综述和展望

Review and prospect of application of nighttime light remote sensing data

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