DMSP/OLS和VIIRS夜光影像辐射亮度差异及其在电力消耗估算中的比较

doi:10.3969/j.issn.0255-8297.2019.01.010

应用科学学报 ›› 2019, Vol. 37 ›› Issue (1): 99-111.doi: 10.3969/j.issn.0255-8297.2019.01.010

DMSP/OLS和VIIRS夜光影像辐射亮度差异及其在电力消耗估算中的比较

仇雅倩¹, 薛翔宇¹, 韩文军³, 陈晓玲¹, 李熙^1,2

1. 武汉大学测绘遥感信息工程国家重点实验室, 武汉 430079;
2. 武汉大学地球空间信息技术协同创新中心, 武汉 430079;
3. 国网经济技术研究院, 北京 100052

收稿日期:2018-01-09 修回日期:2018-03-09 出版日期:2019-01-31 发布日期:2019-01-31
通信作者: 陈晓玲,教授,博导,研究方向:遥感定量反演方法、遥感与水动力过程耦合、环境灾害遥感应用、湖泊-湿地-流域复杂生态系统,E-mail:xiaoling_chen@whu.edu.cn E-mail:xiaoling_chen@whu.edu.cn
基金资助:
国家电网公司总部科技项目基金（No.JYYKJXM（2017）011）；国家自然科学基金面上项目（No.41771386）资助

Comparison of Radiation Intensity and Estimation of Electric Power Consumption between DMSP/OLS and VIIRS Nighttime Light Images

QIU Ya-qian¹, XUE Xiang-yu¹, HAN Wen-jun³, CHEN Xiao-ling¹, LI Xi^1,2

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
2. Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China;
3. State Grid Economic and Technological Research Institute, Beijing 100052, China

Received:2018-01-09 Revised:2018-03-09 Online:2019-01-31 Published:2019-01-31

摘要/Abstract

摘要：

美国国防气象卫星线性业务扫描系统（defense meteorological satellite program/operational linescan system，DMSP/OLS）及可见红外成像辐射仪（visible infrared imagingradiometer suite，VⅡRS）的夜光遥感影像获取时间不同，同一地区不同时间的夜间灯光可能会存在一定的差异.从夜光影像获取时间上的差异出发，以两种夜间灯光影像均值的比值为度量指标建立灯光差异指数，探究同一地区不同时间夜间灯光的一致性与差异性，分析导致差异性的原因，并在中国省级尺度上比较不同夜间灯光影像对于电力消费（electricity powerconsumption，EPC）的预测能力.结果表明夜间灯光在时间上具有一定的一致性与差异性：两种夜间灯光影像均值之间体现了很高的相关性，且DMSP/OLS灯光均值越大的地方，灯光的差异就越小；其差异性与地区经济发展有一定的关系，经济相对不发达的地区越容易出现灯光差异大的现象.在电力消费预测方面，VⅡRS与EPC之间的相关性强于DMSP/OLS，对EPC的预测能力也更强.

关键词: 夜间灯光影像, 时间差异, 电力消费, 灯光差异指数

Abstract:

As the acquisition time of nighttime light image of defense meteorological satellite program/operational linescan system (DMSP/OLS) and visible infrared imaging radiometer suite (VⅡRS) is different, nighttime lights are different at different times in the same area. In view of the difference, the ratio of two kinds of NTL mean values is taken as the measurement index to create light difference index (LDI). In this paper, we explore the consistency and difference of the NTL at different time in the same area, and analyze the causes of the differences. Meanwhile, the capabilities of DMSP/OLS and VⅡRS are compared for predicting electricity power consumption (EPC) at provincial level in China. The results show that NTL behaves some time-consistency and time-difference. There is a good correlation between two kinds of NTL images, and the higher nighttime light mean value of DMSP/OLS, the smaller the light difference. The difference is related to the regional economic development. Undeveloped areas are more likely to have great differences. In the forecast of electricity power consumption (EPC), VⅡRS is more relevant to EPC and superior in estimating EPC than DMSP/OLS.

Key words: light difference index, time difference, electricity power consumption (EPC), nighttime light image

中图分类号:

P751.1

仇雅倩, 薛翔宇, 韩文军, 陈晓玲, 李熙. DMSP/OLS和VIIRS夜光影像辐射亮度差异及其在电力消耗估算中的比较[J]. 应用科学学报, 2019, 37(1): 99-111.

QIU Ya-qian, XUE Xiang-yu, HAN Wen-jun, CHEN Xiao-ling, LI Xi. Comparison of Radiation Intensity and Estimation of Electric Power Consumption between DMSP/OLS and VIIRS Nighttime Light Images[J]. Journal of Applied Sciences, 2019, 37(1): 99-111.

参考文献

[1] Croft T. Nighttime images of the earth from space[J]. Scientific American, 1978, 239(1):86-98.
[2] 李德仁,李熙. 论夜光遥感数据挖掘[J]. 测绘学报,2015, 44(6):591-601. Li D R, Li X. An overview on data mining of nighttime light remote sensing[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(6):591-601. (in Chinese)
[3] Elvidge C D, Baugh K E, Kihn E A, Kroehl H W, Davis E R, Davis C W. Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption[J]. International Journal of Remote Sensing, 1997, 18(6):1373-1379.
[4] Elvidge C, Baugh K, Hobson V, Kihn E, Kroehl H, Davis E, Cocero D. Satellite inventory of human settlements using nocturnal radiation emissions:a contribution for the global toolchest[J]. Global Change Biology, 2010, 3(5):387-395.
[5] Henderson J V, Storeygard A, Weil D N. A bright idea for measuring economic growth[J]. American Economic Review, 2011, 101(3):194-199.
[6] 杨续超,康丽莉,张斌,冀春晓. 基于多源遥感信息的电力消费量估算与影响因素分析——以浙江省为例[J]. 地理科学,2013, 33(6):718-723. Yang X C, Kang L L, Zhang B, Ji C X. Electricity consumption estimation using multisensor remote sensing data:a case study of Zhejiang Province[J]. Scientia Geographica Sinica, 2013, 33(6):718-723. (in Chinese)
[7] Zhang Q, Seto K C. Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data[J]. Remote Sensing of Environment, 2011, 115(9):2320-2329.
[8] Imhoff M L, Lawrence W T, Stutzer D C, Elvidge C D. A technique for using composite DMSP/OLS "City Lights" satellite data to map urban area[J]. Remote Sensing of Environment, 1997, 61(3):361-370.
[9] Imhoff M L, Lawrence W T, Stutzer D C, Elvidge C D. Using nighttime DMSP/OLS images of city lights to estimate the impact of urban land use on soil resources in the United States[J]. Remote Sensing of Environment, 1997, 59(1):105-117.
[10] 范子英,彭飞,刘冲. 政治关联与经济增长——基于卫星灯光数据的研究[J]. 经济研究,2016(1):114-126. Fan Z Y, Peng F, Liu C. Political connections and economic growth:evidence from the DMSP/OLS satellite data[J]. Economic Research Journal, 2016(1):114-126. (in Chinese)
[11] 李德仁,余涵若,李熙. 基于夜光遥感影像的"一带一路"沿线国家城市发展时空格局分析[J]. 武汉大学学报(信息科学版),2017, 42(6):711-720. Li D R, Yu H R, Li X. The spatial-temporal pattern analysis of city development in countries along the belt and road initiative based on nighttime light data[J]. Geomatics and Information Science of Wuhan University, 2017, 42(6):711-720. (in Chinese)
[12] Li X, Li D. Can night-time light images play a role in evaluating the Syrian crisis[J]. International Journal of Remote Sensing, 2014, 35(18):6648-6661.
[13] Elvidge C D, Ziskin D, Baugh K E, Tuttle B T, Ghosh T, Pack D W, Erwin E H, Zhizhin M. A fifteen year record of global natural gas flaring derived from satellite data[J]. Energies, 2009, 2(3):595-622.
[14] Chen X, Nordhaus W. A test of the new VⅡRS lights data set&58; population and economic output in Africa[J]. Remote Sensing, 2015, 7(4):4937-4947.
[15] Shi K, Huang C, Yu B, Yin B, Huang Y, Wu J. Evaluation of NPP-VⅡRS night-time light composite data for extracting built-up urban areas[J]. Remote Sensing Letters, 2014, 5(4):358-366.
[16] Li X, Xu H, Chen X, Li C. Potential of NPP-VⅡRS nighttime light imagery for modeling the regional economy of China[J]. Remote Sensing, 2013, 5(6):3057-3081.
[17] Jing X, Shao X, Cao C, Fu X, Yan L. Comparison between the Suomi-NPP day-night band and DMSP-OLS for correlating socio-economic variables at the provincial level in China[J]. Remote Sensing, 2015, 8(1):17.
[18] Shi K, Yu B, Huang Y, Hu Y, Yin B, Chen Z, Chen L, Wu J. Evaluating the ability of NPP-VⅡRS nighttime light data to estimate the gross domestic product and the electric power consumption of China at multiple scales:a comparison with DMSP-OLS data[J]. Remote Sensing, 2014, 6(2):1705-1724.
[19] Liu Z, He C, Zhang Q, Huang Q, Yang Y. Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008[J]. Landscape & Urban Planning, 2012, 106(1):62-72.
[20] Li X, Li D, Xu H, Wu C. Intercalibration between DMSP/OLS and VⅡRS night-time light images to evaluate city light dynamics of Syria's major human settlement during Syrian Civil War[J]. International Journal of Remote Sensing, 2017(1):1-18.

DMSP/OLS和VIIRS夜光影像辐射亮度差异及其在电力消耗估算中的比较

Comparison of Radiation Intensity and Estimation of Electric Power Consumption between DMSP/OLS and VIIRS Nighttime Light Images

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