A New Algorithm for Estimating Aerosol Optical Thickness from Satellite Image Data and Its Accuracy

Material type: 文書・図像類

Author: KAWATA, Yoshiyukiほか

Publisher: Chiba University. Center for Environmental Remote Sensing

Publication date: 1998-01-21

Material Format: Digital

Capacity, size, etc.: -

NDC: 417

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Note (General)：: type:text[ABSTRACT] In the atmospheric correction for space remote sensing images, the aerosol optical thickness at the satellite observation time is ...

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Material Type: 文書・図像類
Title: A New Algorithm for Estimating Aerosol Optical Thickness from Satellite Image Data and Its Accuracy
Author/Editor: KAWATA, Yoshiyuki
YAMAZAKI, Akihiro
IMANAKA, Makoto
MOURI, Kengo
Author Heading: KAWATA, Yoshiyuki
YAMAZAKI, Akihiro
IMANAKA, Makoto
MOURI, Kengo
Publication, Distribution, etc.: Chiba University. Center for Environmental Remote Sensing
Publication Date: 1998-01-21
Publication Date (W3CDTF): 1998-01-21
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: 4
Volume: 4
Pages: 165-170
Text Language Code: eng
NDC: 417
450
007
Target Audience: 一般
Note (General): type:text
[ABSTRACT] In the atmospheric correction for space remote sensing images, the aerosol optical thickness at the satellite observation time is critically needed. It is highly desirable to estimate this value from the satellite measured data themselves. In this study, we proposed a new algorithm for estimating the aerosol optical thickness from satellite image data alone. In this algorithm, the meteorological range, V, was used as a free parameter to compute the surface albedo distribution from satellite image data. The aerosol optical thickness value for each band can be computed from the meteorological range. The analytical approximation method for atmospheric correction and Modtran code were also utilized in our algorithm. As for the algorithm validation, several simultaneous ground and sky measurements with LANDSAT/TM and ADEOS/AVNIR were conducted in 1996 and 1997. We found that the accuracy of the proposed algorithm is less than 0.04 in the aerosol optical thickness. The surface albedo distribution image computed from ADEOS/AVNIR data (taken on April 24, 1997) was presented, by using the estimated aerosol optical thickness values.
Access Restrictions: 限定公開
Related Material (NCID): BA40898623
https://ci.nii.ac.jp/ncid/BA40898623
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