Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 3, pp. 198-212
Actual features and evolution prospects of the SRC “Planeta” distributed data operation united system
M.A. Burtsev
1 , S.A. Uspenskiy
2 , L.S. Kramareva
3 , V.N. Antonov
4 , A.V. Kalashnikov
4 , I.V. Balashov
1 , A.V. Kashnitskii
1 , E.A. Loupian
1 , A.M. Matveev
1 , A.A. Proshin
1 1 Space Research Institute RAS, Moscow, Russia
2 State Research Center for Space Hydrometeorology “Planeta”, Moscow, Russia
3 Far-Eastern Center of State Research Center for Space Hydrometeorology “Planeta”, Khabarovsk, Russia
4 Siberian Center of State Research Center for Space Hydrometeorology “Planeta”, Novosibirsk, Russia
Accepted: 24.06.2019
DOI: 10.21046/2070-7401-2019-16-3-198-212
The paper discusses the results achieved by SRC “Planeta” distributed data operation united system, describes its actual features and analyzes main evolution prospects. The system has evolved into a complex, elaborate data operation instrument providing solutions for various tasks including hydrometeorological monitoring, disaster monitoring etc. solely by data processing and analysis tools and resources of the system itself, available through the web. The system provides an effective way of utilizing both global and local scale observations. One of the basic features of the system is the possibility to use the near real time information products generated on demand. The data processing and analysis tools, actively developed within the system, give the users the possibility to create their own thematic products, including animated ones, for analysis of both short and long term processes and phenomena. Currently, the system is essentially a distributed modular web-GIS combined with very large Earth remote sensing data direct access archives. It also interacts with a lot of external information resources providing online services to the IKI-Monitoring center for collective use and many applied information systems, thus being one of the main providers of near real time satellite data in Russia.
Keywords: satellite imagery, distributed systems, very large data archives, space hydrometeorology, Earth remote sensing systems
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