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学科主题: Remote Sensing ; Imaging Science & Photographic Technology
题名: Night-time cloud detection for FY-3A/VIRR using multispectral thresholds
作者: [He, Quanjun] Guangzhou Meteorol Satellite Ground Stn, Guangzhou 510640, Guangdong, Peoples R China ; [He, Quanjun] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China ; [He, Quanjun] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
通讯作者: hequanjunsx@163.com
刊名: INTERNATIONAL JOURNAL OF REMOTE SENSING
发表日期: 2013
卷: 34, 期:8, 页:2876-2887
部门归属: LTO
资助者: I thank the colleagues in Guangzhou Meteorological Satellite Ground Station for their assistance in this research. I am very grateful to the referees for their helpful suggestions on this article. This work was supported by Guangdong Meteorological Bureau grant 2008B12 and 2012B13.
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 m 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.
语种: 英语
原文出处: 查看原文
WOS记录号: WOS:000316393800012
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.scsio.ac.cn/handle/344004/10917
Appears in Collections:热带海洋环境国家重点实验室(LTO)_期刊论文

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[He, Quanjun] Guangzhou Meteorol Satellite Ground Stn, Guangzhou 510640, Guangdong, Peoples R China; [He, Quanjun] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China; [He, Quanjun] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China.Night-time cloud detection for FY-3A/VIRR using multispectral thresholds,INTERNATIONAL JOURNAL OF REMOTE SENSING,2013,34(8):2876-2887
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