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J-GLOBAL ID：201802253756971310   Reference number：18A1072360

The Impact of Different Support Vectors on GOSAT-2 CAI-2 L2 Cloud Discrimination

GOSAT-2 CAI-2 L2雲識別に対する異なるサポートベクトルの影響【JST・京大機械翻訳】

Author (5)： Oishi Yu (Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, 2-4-7 Aomi, Koto, Tokyo 135-0064, Japan) ,  Ishida Haruma (Climate Research Department, Meteorological Research Institute, 1-1 Nagamine, Tsukuba, Ibaraki 305-0052, Japan) ,  Nakajima Takashi Y. (School of Information Science & Technology, Tokai University, 4-1-1 Kitakaname, Hiratsuka, Kanagawa 259-1292, Japan) ,  Nakamura Ryosuke (Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, 2-4-7 Aomi, Koto, Tokyo 135-0064, Japan) ,  Matsunaga Tsuneo (Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan)
Material： Remote Sensing (Web)
Volume： 9  Issue： 12  Page： 1236  Publication year： 2017 
JST Material Number： U7270A  ISSN： 2072-4292  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： Greenhouse gases Observing SAT...

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Thesaurus term： optimization ,  ocean ,  *aerosol(suspended solids) ,  spectrometer(optical) ,  algorithm ,  infrared detector ,  sensor ,  image ,  pattern recognition ,  support vector machine ,  greenhouse effect gas ,  optical property ,  carbon
Semi thesaurus term： MODIS ,  *GOSAT , 【Automatic Indexing@JST】

Author keywords (5)： GOSAT-2 ,  CAI-2 ,  cloud discrimination ,  support vector machine ,  CLAUDIA3

JST classification (2)： Environmental problems  (SA01020V) ,  Meteorology in general  (DC05010D)

Reference (12)：

• GOSAT-2 Project at the National Institute for Environmental Studies, about GOSAT-2. Available online: www.gosat-2.nies.go.jp (accessed on 10 October 2017). Algorithm Theoretical Basis Document (ATBD) for CO2 and CH4 Column Amounts Retrieval from GOSAT TANSO-FTS SWIR. Available online: https://data2.gosat.nies.go.jp/doc/documents/ATBD_FTSSWIRL2_V2.0_en.pdf (accessed on 10 October 2017).
• Ackerman, S.; Strabala, K.; Menzel, P.; Frey, R.; Moeller, C.; Guemley, L. Discriminating clear sky from clouds with MODIS. J. Geophys. Res. 1998, 103, 32141-32157.
• Discriminating Clear-Sky from Cloud with MODIS Algorithm Theoretical Basis Document (MOD35). Available online: http://modis-atmos.gsfc.nasa.gov/_docs/MOD35_ATBD_Collection6.pdf (accessed on 24 November 2017).
• Ishida, H.; Nakajima, T.Y. Development of an unbiased cloud detection algorithm for a spaceborne multispectral imager. J. Geophys. Res. 2009, 114.
• Ishida, H.; Nakajima, T.Y.; Yokota, T.; Kikuchi, N.; Watanabe, H. Investigation of GOSAT TANSO-CAI cloud screening ability through an intersatellite comparison. J. Appl. Meteorol. Climatol. 2011, 50, 1571-1586.

Terms in the title (4)： GOSAT ,  雲 ,  識別 ,  ベクトル