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Moments from space captured by MSG SEVIRI

机译:MSG SEVIRI捕获的太空时刻

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摘要

A method for the generation of full disk MSG (METEOSAT Second Generation) SEVIRI (Scanning-Enhanced Visible and Infrared Imager) true colour composite images is presented. The algorithm mainly uses the SEVIRI channels VIS006 (0.6 H-m), NIR008 (0.8 |xm) and NIR016 (1.6 jim). Only one of the full disk SEVIRI channels is located in the visible spectral region. This is channel VIS006 which covers mainly the yellow to red parts of the visible spectrum. The lack of information in the blue and green parts of the visible spectrum is compensated by using data from NASA's (National Aeronautics and Space Administration's) Blue Marble next generation (BMNG) project to fill a look-up table (LUT) transforming RGB (red/green/blue) false colour composite images of VIS006/NIR008/NIR016 into true colour images. Tabulated radiative transfer calculations of a pure Rayleigh atmosphere are used to add an impression of Rayleigh scattering towards the sunlit horizon. The resulting images satisfy naive expectations: clouds are white or transparent, vegetated surfaces are greenish, deserts are sandy-coloured, the ocean is dark blue to black and a narrow halo due to Rayleigh scattering is visible at the sunlit horizon. Therefore, such images are easily interpretable also for inexperienced users not familiar with the characteristics of typical MSG false colour composite images.
机译:提出了一种生成全盘MSG(第二代METEOSAT)SEVIRI(扫描增强型可见光和红外成像器)真彩色合成图像的方法。该算法主要使用SEVIRI通道VIS006(0.6 H-m),NIR008(0.8 | xm)和NIR016(1.6 jim)。全盘SEVIRI通道中只有一个位于可见光谱区域。这是VIS006通道,主要覆盖可见光谱的黄色到红色部分。通过使用NASA(国家航空航天局)的Blue Marble Next Generation(BMNG)项目的数据来填充将RGB(红色)转换为红色的查找表(LUT),可以弥补可见光谱中蓝色和绿色部分信息的缺乏。 /绿色/蓝色)将VIS006 / NIR008 / NIR016的伪彩色合成图像转换为真彩色图像。纯瑞利大气层的列表辐射传输计算用于增加朝着阳光照射的瑞利散射的印象。所得到的图像满足幼稚的期望:云彩是白色或透明的,植被表面是绿色的,沙漠是沙色的,海洋是深蓝色到黑色的,在阳光照射的地平线上可以看到由于瑞利散射引起的狭窄光晕。因此,对于不熟悉典型MSG伪彩色合成图像特性的缺乏经验的用户,此类图像也很容易解释。

著录项

  • 来源
    《International journal of remote sensing》 |2011年第14期|p.4131-4140|共10页
  • 作者

    M. REUTER; S. PFEIFER;

  • 作者单位

    Institute of Environmental Physics, University of Bremen, D-28334 Bremen, Germany;

    Climate Service Center, Helmholtz Zentrum Geesthacht, D-20146 Hamburg, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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