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- OISHI Yu
- National Agriculture and Food Research Organization
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- ISHIDA Haruma
- Meteorological Satellite Center of Japan Meteorological Agency
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- Y. NAKAJIMA Takashi
- Research and Information Center, Tokai University
Bibliographic Information
- Other Title
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- GOSAT-2 CAI-2 L2雲識別プロダクト
- GOSAT-2 CAI-2 L2 ウン シキベツ プロダクト
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Abstract
<p>The Greenhouse gases Observing SATellite-2 (GOSAT-2) was launched on 29 October, 2018. GOSAT-2 is equipped with two earth-observing instruments: the Thermal And Near-infrared Sensor for carbon Observation Fourier Transform Spectrometer 2 (TANSO-FTS-2), and the Cloud and Aerosol Imager 2 (TANSO-CAI-2). Cloud contamination within the instantaneous field-of-view (IFOV) of the FTS-2 leads to incorrect estimates of major greenhouse gases concentration. To solve this problem, the FTS-2 data suspected to have cloud contamination must be identified by a new cloud discrimination algorithm using a support vector machine, the Cloud and Aerosol Unbiased Decision Intellectual Algorithm-3 (CLAUDIA3), used with the CAI-2. The cloud discrimination results will be publicly available as the CAI-2 L2 cloud discrimination products. In this paper, we deal with the CLAUDIA3 and the application of the CLAUDIA3 to CAI-2 data. Moreover, we show several cloud discrimination results of CLAUDIA3 applied to CAI data.</p>
Journal
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- Journal of The Remote Sensing Society of Japan
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Journal of The Remote Sensing Society of Japan 39 (1), 43-49, 2019-02-28
The Remote Sensing Society of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390001288155644672
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- NII Article ID
- 130007686761
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- NII Book ID
- AN10035665
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- ISSN
- 18831184
- 02897911
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- NDL BIB ID
- 029636017
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed