SCSIO OpenIR  > 热带海洋环境国家重点实验室(LTO)
Night-time cloud detection for FY-3A/VIRR using multispectral thresholds
[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; hequanjunsx@163.com
2013
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
Volume34Issue:8Pages:2876-2887
AbstractNight-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.
DepartmentLTO
Subject AreaRemote Sensing ; Imaging Science & Photographic Technology
Funding OrganizationI 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. ; 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. ; 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. ; 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.
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Language英语
Funding OrganizationI 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. ; 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. ; 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. ; 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.
WOS IDWOS:000316393800012
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/10917
Collection热带海洋环境国家重点实验室(LTO)
Corresponding Authorhequanjunsx@163.com
Recommended Citation
GB/T 7714
[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,et al. Night-time cloud detection for FY-3A/VIRR using multispectral thresholds[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2013,34(8):2876-2887.
APA [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,&hequanjunsx@163.com.(2013).Night-time cloud detection for FY-3A/VIRR using multispectral thresholds.INTERNATIONAL JOURNAL OF REMOTE SENSING,34(8),2876-2887.
MLA [He, Quanjun] Guangzhou Meteorol Satellite Ground Stn, Guangzhou 510640, Guangdong, Peoples R China,et al."Night-time cloud detection for FY-3A/VIRR using multispectral thresholds".INTERNATIONAL JOURNAL OF REMOTE SENSING 34.8(2013):2876-2887.
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