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首页> 外文期刊>GIScience & remote sensing >Detecting the Effects of Wars in the Caucasus Regions of Russia and Georgia Using Radiometrically Normalized DMSP-OLS Nighttime Lights Imagery
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Detecting the Effects of Wars in the Caucasus Regions of Russia and Georgia Using Radiometrically Normalized DMSP-OLS Nighttime Lights Imagery

机译:使用辐射归一化DMSP-OLS夜间光成像技术检测俄罗斯和乔治亚州高加索地区的战争影响

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摘要

Satellite data can provide a remote view of developments in often dangerous conflict zones. Nighttime lights imagery from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (DMSP-OLS) satellite was used to detect the effects of war in the Caucasus region of Russia and Georgia. To assess changes over time, the data were radiometrically normalized using cities with a relatively stable nighttime lights signature over the course of the study period, 1992-2009. Buffers were created around these stable cities to select the pixels that were then used to normalize cities and towns whose nighttime lighting fluctuated over time. The results show that conflict-related events such as large fires that burn for weeks and large refugee movements are possible to detect, even given the relatively coarse spatial resolution (2.7 km) of the DMSP-OLS imagery.
机译:卫星数据可以提供通常处于危险冲突区域的发展的远程视图。国防气象卫星计划(DMSP)作战线扫描系统(DMSP-OLS)卫星的夜间照明图像用于检测俄罗斯和乔治亚州高加索地区的战争影响。为了评估随时间的变化,使用研究期间(1992-2009年)内具有相对稳定的夜间灯光信号的城市,对数据进行了辐射归一化。在这些稳定的城市周围创建了缓冲区,以选择像素,然后将其用于标准化夜间照明随时间变化的城镇。结果显示,即使考虑到DMSP-OLS图像的相对较粗的空间分辨率(2.7公里),也可以检测到与冲突有关的事件,例如持续数周的大火和大量的难民活动。

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  • 来源
    《GIScience & remote sensing》 |2011年第4期|p.478-500|共23页
  • 作者单位

    Institute of Behavioral Science, University of Colorado,Boulder, Colorado 80309-0483;

    Institute of Behavioral Science, University of Colorado,Boulder, Colorado 80309-0483;

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