Japan Geoscience Union Meeting 2015

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Symbol M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI37] Earth and planetary informatics with huge data management

Thu. May 28, 2015 9:00 AM - 10:45 AM 203 (2F)

Convener:*Eizi TOYODA(Numerical Prediction Division, Japan Meteorological Agency), Mayumi Wakabayashi(Kiso-Jiban Consultants Co.,Ltd), Susumu Nonogaki(Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology), Eizi TOYODA(Numerical Prediction Division, Japan Meteorological Agency), Ken T. Murata(National Institute of Information and Communications Technology), Junya Terazono(The University of Aizu), Tomoaki Hori(Nagoya University Solar Terrestrial Environment Laboratory Geospace Research Center), Kazuo Ohtake(Japan Meteorological Agency), Takeshi Horinouchi(Faculty of Environmental Earth Science, Hokkaido University), Chair:Tomoaki Hori(名古屋大学太陽地球環境研究所), Ken T. Murata(National Institute of Information and Communications Technology)

10:00 AM - 10:15 AM

[MGI37-14] Implementation of the vessel navigation support system for sea ice area

*Takeshi TERUI1, Takeshi SUGIMURA1, Takeshi TAMURA1, Daisuke SIMIZU1, Keishi SHIMADA2, Hironori YABUKI3 (1.National Institute of Polar Research, 2.Tokyo University of Marine Science and Technology, 3.Japan Agency for Marine-Earth Science and Technology)

Keywords:sea ice area, satellite data, automation, visualization, web server

Understanding of sea ice situation is the most important issue for vesseles in the sea ice area. In particular, overviewed inforamtion of 1000 km scale is a good indication to determine a safe route. The remote sencing data of sea ice concentration by Earth observation satellites is required. However, limitted satelite telecommunication line on the vessel makes on-demand data delivery difficult. And more, if the compressed data would be sent via this line, a professional staff for decoding and visualizing the data must always be needed on the ship. In order to reduce these anxiety and burden, automatical system integrating these processes (delively, decoding, and visualizing data) is needed. ADS (Arctic Data archive System) is providing a quasi-real-time visualization service for satellite data at Polar region, and this service is called VISHOP (Visualization Service of Horizontal scale Observations at Polar region). In this research, we develop new automatical visualization system for the vessel by reconstructing VISHOP to a small board server. We want to introduce practicality and advantages of this new system.