Retrieval of aerosol optical thickness from NOAA/AVHRR data on the sea and land areas

Material type: 文書・図像類

Author: ASAKUMA, Kojiほか

Publisher: Chiba University. Center for Environmental Remote Sensing

Publication date: 2001-02-21

Material Format: Digital

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NDC: 512.75

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Note (General)：: type:text[ABSTRACT] We present a retrieval algorithm of aerosol optical thickness over the land area. This algorithm is based on the darktarget approa...

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Material Type: 文書・図像類
Title: Retrieval of aerosol optical thickness from NOAA/AVHRR data on the sea and land areas
Author/Editor: ASAKUMA, Koji
OTSUTSUMI, Shingo
YABUKI, Masanori
KUBOTA, T.
KUZA, Hiroaki
TAKEUCHI, Nobuo
Author Heading: ASAKUMA, Koji
OTSUTSUMI, Shingo
YABUKI, Masanori
KUBOTA, T.
KUZA, Hiroaki
TAKEUCHI, Nobuo
Publication, Distribution, etc.: Chiba University. Center for Environmental Remote Sensing
Publication Date: 2001-02-21
Publication Date (W3CDTF): 2001-02-21
Periodical title: Proceedings of the CEReS international symposium = CEReS国際シンポジウム資料集
No. or year of volume/issue: 7
Volume: 7
Pages: 47-50
Text Language Code: eng
NDC: 512.75
Target Audience: 一般
Note (General): type:text
[ABSTRACT] We present a retrieval algorithm of aerosol optical thickness over the land area. This algorithm is based on the darktarget approach combined with the texture analysis. In the first part of the algorithm, we employ the 6S code to calculate the relevant radiance components. The aerosol optical thickness is retrieved over the sea surface assuming a surface reflectance of 2% with typical aerosol models in the 6S code (e.g. Maritime, Urban and Continental). In addition, we present a "Kanto" aerosol model on the basis of the ground measurements conducted at 11 sites on the Kanto plain during December 22-24, 1997. In this model, chemical composition data are. used to derive the single scattering albedo and the asymmetry parameter. These optical parameters are useful to improve the accuracy of the radiation calculation with the 6S code. This method is applied to several sites arbitrary chosen on the sea area, and by two-dimensional linear interpolation, we obtain a "γ-image" over the land area. In the second part, a difference image is calculated between an actual satellite image (turbid image, NOAA AVHRR channel 1 on December 1, 1997) and a clear image that is obtained by applying the atmospheric correction to a satellite image (December 15, 1997). In the last part, the atmospheric features included in the difference image are analyzed by the texture analysis. For each area that includes both land and sea surfaces, and is categorized into a texel (i.e. its atmospheric feature is considered to be uniform), the optical thickness of the land area is assumed to be the same as that over the sea area. As a whole, the present method makes it possible to extend the method of analyzing atmospheric conditions from satellite data to the land surfaces that are surrounded by water areas.
Access Restrictions: 限定公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 千葉大学 : 千葉大学学術成果リポジトリ