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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

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  • 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

  网络出版日期: 2019-01-31

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

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  • 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 date: 2018-01-09

  Revised date: 2018-03-09

  Online published: 2019-01-31

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.

本文引用格式

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 . DOI: 10.3969/j.issn.0255-8297.2019.01.010

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.

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