Journal of The Remote Sensing Society of Japan
Online ISSN : 1883-1184
Print ISSN : 0289-7911
ISSN-L : 0289-7911
Special Issue for Greenhouse gases Observing Satellite 2 (GOSAT-2):Explanation
GOSAT-2 CAI-2 L2 Cloud Discrimination Product
Yu OISHIHaruma ISHIDATakashi Y. NAKAJIMA
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JOURNAL FREE ACCESS

2019 Volume 39 Issue 1 Pages 43-49

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Abstract

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.

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© 2019 The Remote Sensing Society of Japan
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