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

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Title: Night-time cloud detection for FY-3A/VIRR using multispectral thresholds.
Authors: He, Quanjun1,2,3 (AUTHOR) hequanjunsx@163.com
Source: International Journal of Remote Sensing. Apr2013, Vol. 34 Issue 8, p2876-2887. 12p. 3 Color Photographs, 1 Diagram, 2 Charts, 1 Graph.
Subjects: Telecommunication satellites, Spectrophotometers, Satellite meteorology, Brightness temperature, Spectroradiometer
Abstract: 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. [ABSTRACT FROM PUBLISHER]
Copyright of International Journal of Remote Sensing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 86178898
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
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  Data: Night-time cloud detection for FY-3A/VIRR using multispectral thresholds.
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  Data: <searchLink fieldCode="AR" term="%22He%2C+Quanjun%22">He, Quanjun</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> hequanjunsx@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Remote+Sensing%22">International Journal of Remote Sensing</searchLink>. Apr2013, Vol. 34 Issue 8, p2876-2887. 12p. 3 Color Photographs, 1 Diagram, 2 Charts, 1 Graph.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Telecommunication+satellites%22">Telecommunication satellites</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrophotometers%22">Spectrophotometers</searchLink><br /><searchLink fieldCode="DE" term="%22Satellite+meteorology%22">Satellite meteorology</searchLink><br /><searchLink fieldCode="DE" term="%22Brightness+temperature%22">Brightness temperature</searchLink><br /><searchLink fieldCode="DE" term="%22Spectroradiometer%22">Spectroradiometer</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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. [ABSTRACT FROM PUBLISHER]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Remote Sensing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/01431161.2012.755275
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 2876
    Subjects:
      – SubjectFull: Telecommunication satellites
        Type: general
      – SubjectFull: Spectrophotometers
        Type: general
      – SubjectFull: Satellite meteorology
        Type: general
      – SubjectFull: Brightness temperature
        Type: general
      – SubjectFull: Spectroradiometer
        Type: general
    Titles:
      – TitleFull: Night-time cloud detection for FY-3A/VIRR using multispectral thresholds.
        Type: main
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            NameFull: He, Quanjun
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            – D: 20
              M: 04
              Text: Apr2013
              Type: published
              Y: 2013
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              Value: 34
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              Value: 8
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            – TitleFull: International Journal of Remote Sensing
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