Method for detecting cloud at night from VIIRS data based on DNB
XIA Lang1, MAO Kebiao1, SUN Zhiwen2, MA Ying3, ZHAO Fen1
1. National Hulun Buir Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China; 2. Space Star Technology Co., Ltd., Beijing 100086, China; 3. A-World Consulting, Hong Kong Logistics Association, Hong Kong 999077, China
摘要针对夜间云检测验证中低云和雾难以区分的困难，提出了对于南方山区有效的云检测和验证方案。通过分析可见光红外成像辐射仪套件（visible infrared imager radiometer suite，VIIRS）传感器数据的新特性和云检测的原理，给出了适合VIIRS夜间云检测的方法。对白天/夜间波段（day and night band，DNB）数据对云检测验证的适用性进行了分析。结果表明：在月亮天顶角小于60°时，DNB波段能够较好地用于夜间云检测验证；在扫描角小于15°时，云检测精度不低于91%；使用VIIRS的M12和M13通道的亮温差值BTM12-BTM13辅助M12和M15通道的亮温差值BTM12-BTM15进行低云检测，能够去除大部分山谷中雾的影响；检测阈值对扫描角大小变化敏感，当扫描角较大时，设定的阈值在检测精度上不如扫描角较小时理想。
Abstract：Validating the cloud detection result at night and distinguishing low cloud from fog through satellite data are difficult in southern mountain areas of China. In this paper, a method is presented by analyzing the new features of the visible infrared imaging radiometer suite (VIIRS) sensor data and the theory of the cloud detection. The viability of VIIRS day and night (DNB) data in night cloud detection is discussed in detail and the result shows that the DNB data can be used to validate the result when lunar zenith angle is less than 60°. The application and validation show that the method is effective, and the estimation accuracy is higher than 91% when scan angle is less than 15°, and the BTM12-BTM13 and BTM12-BTM15 can be used to effectively distinguish low clouds and fog. In addition, the detection thresholds are sensitive to the sensor zenith angle, and the detection accuracy is higher when the sensor zenith angle is small.
夏浪, 毛克彪, 孙知文, 马莹, 赵芬. 基于DNB验证的VIIRS夜间云检测方法[J]. 国土资源遥感, 2014, 26(3): 74-79.
XIA Lang, MAO Kebiao, SUN Zhiwen, MA Ying, ZHAO Fen. Method for detecting cloud at night from VIIRS data based on DNB. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(3): 74-79.
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2014, Vol. 26 
