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

Yu Oishi, Haruma Ishida, Takashi Nakajima, Ryosuke Nakamura, Tsuneo Matsunaga
2017 Remote Sensing  
In this study, we examined the impact of various support vectors (SV) on GOSAT-2 CAI-2 L2 cloud discrimination by analyzing (1) the impact of the choice of different time periods for the training data  ...  and (2) the impact of different generation procedures for SV on the cloud discrimination efficiency.  ...  In this study, we performed two analyses to clarify the impact of the use of different SV on GOSAT-2 CAI-2 L2 cloud discrimination. 1.  ... 
doi:10.3390/rs9121236 fatcat:zdgqkkrsg5dbbackdgobqn4ymq

Preliminary verification for application of a support vector machine-based cloud detection method to GOSAT-2 CAI-2

Yu Oishi, Haruma Ishida, Takashi Y. Nakajima, Ryosuke Nakamura, Tsuneo Matsunaga
2018 Atmospheric Measurement Techniques  
A new cloud discrimination algorithm using a support vector machine (CLAUDIA3) was developed and presented in another paper.  ...  Preparations are continuing for the launch of the GOSAT-2 in fiscal year 2018.  ...  This research is supported by the GOSAT-2 Project at the National Institute for Environmental Studies Hirose for his assistance with visual inspection.  ... 
doi:10.5194/amt-11-2863-2018 fatcat:4f7f2rieabfwhjxrlh5juxqzee

Preliminary verification for application of a support vector machine based cloud detection method to GOSAT-2 CAI-2

Yu Oishi, Haruma Ishida, Takashi Y. Nakajima, Ryosuke Nakamura, Tsuneo Matsunaga
2018 Atmospheric Measurement Techniques Discussions  
A new cloud discrimination algorithm using a support vector machine (CLAUDIA3) was developed and presented in another paper.  ...  Preparations are continuing for the launch of the GOSAT-2 in fiscal year 2018.  ...  This research is supported by the GOSAT-2 Project at the National Institute for Environmental Studies Hirose for his assistance with visual inspection.  ... 
doi:10.5194/amt-2017-464 fatcat:ega3okmkzvdkbg4vvqx4bp364y

Impact of Changes in Minimum Reflectance on Cloud Discrimination

Yu Oishi, Yoshito Sawada, Akihide Kamei, Kazutaka Murakami, Ryosuke Nakamura, Tsuneo Matsunaga
2018 Remote Sensing  
support vectors on the cloud discrimination efficiency [5].  ...  Furthermore, we examined the impact of different support vectors on cloud discrimination products by analyzing the impacts of the time period for obtaining training data and the generation procedure for  ...  The authors would like to thank the GOSAT Project, GOSAT-2 Project, and Haruma Ishida for helpful comments.  ... 
doi:10.3390/rs10050693 fatcat:3incq42tszdwjdahgxyvzozevi

Effects of atmospheric light scattering on spectroscopic observations of greenhouse gases from space. Part 2: Algorithm intercomparison in the GOSAT data processing for CO2retrievals over TCCON sites

Sergey Oshchepkov, Andrey Bril, Tatsuya Yokota, Paul O. Wennberg, Nicholas M. Deutscher, Debra Wunch, Geoffrey C. Toon, Yukio Yoshida, Christopher W. O'Dell, David Crisp, Charles E. Miller, Christian Frankenberg (+24 others)
2013 Journal of Geophysical Research - Atmospheres  
Next, the impact of atmospheric light scattering on X CO2 retrievals was estimated for each data product using scan by scan retrievals of light path modification with the photon path length probability  ...  Part 2: Algorithm intercomparison in the GOSAT data processing for CO 2 retrievals over TCCON sites,  ...  Part of this work on ACOS B2.9 was performed at the Jet Propulsion Laboratory, California Institute of Technology, under contract with NASA.  ... 
doi:10.1002/jgrd.50146 fatcat:nchh4cbsujhf5e57exvsrsc5y4

Near-Ultraviolet to Near-Infrared Band Thresholds Cloud Detection Algorithm for TANSAT-CAPI

Ning Ding, Jianbing Shao, Changxiang Yan, Junqiang Zhang, Yanfeng Qiao, Yun Pan, Jing Yuan, Youzhi Dong, Bo Yu
2021 Remote Sensing  
This algorithm first introduces the 0.38 μm band and the ratio of 0.38 μm band to 1.64 μm band, to realize the separation of cloud pixels and clear sky pixels, which can take advantage of the obvious difference  ...  In order to solve the above problem, this paper innovatively proposes a cloud detection method based on different threshold tests from near ultraviolet to near infrared (NNDT).  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13101906 fatcat:a2r7ckcebzgdhfmcxpzsvjuu4q

An overview of MATISSE-v2.0

Luc Labarre, Karine Caillault, Sandrine Fauqueux, Claire Malherbe, Antoine Roblin, Bernard Rosier, Pierre Simoneau, Karin Stein, John D. Gonglewski
2010 Optics in Atmospheric Propagation and Adaptive Systems XIII  
Co-Sponsoring Organisations Delivered with the support of Scottish Enterprise Cooperating Organisations 3A  ...  This Programme is based on commitments received up to the time of publication and is subject to change without notice.  ...  Acknowledgements: The financial support of the DFG grant GR 3725/2-1 is gratefully acknowledged.  ... 
doi:10.1117/12.868183 fatcat:5anlqspzzzcftfufaxvlr45zve

KLIMA-IASI Final Report of Project Sensitivity analysis and application of KLIMA algorithm to GOSAT and OCO validation KLIMA-IASI Final Report of Project * Sensitivity analysis and application of KLIMA algorithm to GOSAT and OCO validation

Ugo Cortesi, Samuele Bianco, Marco Gai, Lucia Laurenza, Simone Ceccherini, Bruno Carli, Barbara, Michael Buchwitz
2014 IFAC-TSRR   unpublished
It is flown on-board the MetOp-A satellite as part of the EUMETSAT Polar System.  ...  TANSO-FTS L2 data were obtained from the GOSAT User Interface Gateway GUIG, operated by the National Institute for Environmental Studies (NIES), from the website: http://data. gosat This work was performed  ...  Data users can search and order the L1 data (FTS L1B, CAI L1B, and CAI L1B+ data) and the higher level data products (FTS L2, CAI L2, FTS Level 3, CAI Level 3, Level 4A, and Level 4B data products) by  ... 
fatcat:ubh4vntxwbblfajxs3lhg4ljdy