A web-based real-time and full-resolution data visualization for Himawari-8 satellite sensed images

It has been almost four decades since the first launch of geostationary meteorological satellite by Japan Meteorological Agency (JMA). The specifications of the geostationary meteorological satellites have shown tremendous progresses along with the generations, which are now entering their third gen...

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Bibliographic Details
Published inEarth science informatics Vol. 11; no. 2; pp. 217 - 237
Main Authors Murata, Ken T., Pavarangkoon, Praphan, Higuchi, Atsushi, Toyoshima, Koichi, Yamamoto, Kazunori, Muranaga, Kazuya, Nagaya, Yoshiaki, Izumikawa, Yasushi, Kimura, Eizen, Mizuhara, Takamichi
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2018
Springer Nature B.V
Subjects
Cloud systems
Data analysis
Data imaging
Data management
Earth and Environmental Science
Earth Sciences
Earth System Sciences
Ecosystems
Environmental monitoring
Information Systems Applications (incl.Internet)
Laboratory experiments
Meteorological data
Meteorological satellites
Methodology Article
Ontology
Parallel processing
Real time
Remote sensing
Satellite imagery
Satellites
Scientific visualization
Simulation and Modeling
Space Exploration and Astronautics
Space Sciences (including Extraterrestrial Physics
Spatial resolution
Visualization
Big data
Meteorological satellite
Pyramid tile
Ecosystem
Science cloud
Himawari
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Summary:It has been almost four decades since the first launch of geostationary meteorological satellite by Japan Meteorological Agency (JMA). The specifications of the geostationary meteorological satellites have shown tremendous progresses along with the generations, which are now entering their third generation. The third-generation geostationary meteorological satellites not only yield basic data for weather monitoring, but also globally observe the Earth’s environment. The development of multi-band imagers with improved spatial resolution onboard the third-generation geostationary meteorological satellites brings us meteorological data in larger size than those of the second-generation ones. Thus, new techniques for domestic and world-wide dissemination of the observational big data are needed. In this paper, we develop a web-based data visualization for Himawari-8 satellite sensed images in real time and with full resolution. This data visualization is supported by the ecosystems, which uses a tiled pyramid representation and parallel processing technique for terrain on an academic cloud system. We evaluate the performance of our techniques for domestic and international users on laboratory experiments. The results show that our data visualization is suitable for practical use on a temporal preview of observation image data for the domestic users.
ISSN:1865-0473
1865-0481
DOI:10.1007/s12145-017-0316-4