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

作成者 Asakuma, K., Otsutsumi, S., Yabuki, M., Kubota, T., 久世, 宏明, 竹内, 延夫
日本十進分類法 (NDC) 512.75
内容 研究概要: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.
コンテンツの種類 研究報告書 Research Paper
DCMI資源タイプ text
掲載誌情報 Proceedings of the CEReS international symposium on remote sensing of the atmosphere and validation of satellite data page.47-50 (2001)
言語 英語

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