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Night-time cloud detection for FY-3A/VIRR using multispectral thresholds

机译:使用多光谱阈值对FY-3A / VIRR进行夜间云检测

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摘要

Night-time cloud detection using satellite data is a challenging area of research. This article presents a night-time cloud detection algorithm based on multispectral thresholds for the Visible and Infrared Radiometer (VIRR). VIRR is one of the keystone instruments on board the Chinese Feng Yun 3 (FY-3) polar-orbiting meteorological satellite. In this algorithm, three thermal infrared channels and other ancillary data are used to test for the presence of clouds according to different underlying surface types, and the four levels of possible cloud confidence are used to report whether a pixel is cloudy or clear. This algorithm strengthens the ability of identification of low cloud using the brightness temperature difference between the 3.7 and 12 μm channels. The comparisons of a new cloud mask with the official VIRR cloud mask product and with the official Moderate Resolution Imaging Spectroradiometer (MODIS) cloud mask product are shown to illustrate and validate the effect of this new algorithm. In addition, this algorithm is applied to FY-3B/VIRR data to test the validity and accuracy of cloud detection.
机译:利用卫星数据进行夜间云探测是一个充满挑战的研究领域。本文提出了一种基于可见光和红外辐射仪(VIRR)的多光谱阈值的夜间云检测算法。 VIRR是中国风云3号(FY-3)极轨道气象卫星上的主要仪器之一。在该算法中,根据不同的底层表面类型,使用了三个热红外通道和其他辅助数据来测试是否存在云,并使用四个级别的可能云置信度来报告像素是浑浊还是清晰。该算法利用3.7和12μm通道之间的亮度温差增强了对低云的识别能力。展示了将新的云掩模与官方的VIRR云掩模产品和官方的中分辨率成像分光光度计(MODIS)云掩模产品进行比较,以说明和验证此新算法的效果。此外,该算法还应用于FY-3B / VIRR数据,以测试云探测的有效性和准确性。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第8期|2876-2887|共12页
  • 作者

    Quanjun He;

  • 作者单位

    Guangzhou Meteorological Satellite Ground Station, Guangzhou 510640, PR China State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, PR China Graduate University of Chinese Academy of Sciences,Beijing 100049, PR China;

  • 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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