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タイトルClient-Side Data Processing and Training for Multispectral Imagery Applications in the GOES-R Era
本文(外部サイト)http://hdl.handle.net/2060/20160010503
著者(英)Gravelle, Chad; Burks, Jason; Schultz, Lori; Berndt, Emily; Molthan, Andrew; Leroy, Anita; Fuell, Kevin
著者所属(英)NASA Marshall Space Flight Center
発行日2016-08-15
言語eng
内容記述RGB imagery can be created locally (i.e. client-side) from single band imagery already on the system with little impact given recommended change to texture cache in AWIPS II. Training/Reference material accessible to forecasters within their operational display system improves RGB interpretation and application as demonstrated at OPG. Application examples from experienced forecasters are needed to support the larger community use of RGB imagery and these can be integrated into the user's display system.
NASA分類Meteorology and Climatology
レポートNOMSFC-E-DAA-TN34861
権利Copyright, Distribution as joint owner in the copyright


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