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ALL-RUSSIA OPEN ANNUAL CONFERENCES ON

CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

Principal physics, methods and techniques for monitoring the environment, potentially dangerous phenomena and objects



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Information Technologies in Remote Sensing of the Earth - RORSE 2018

Proceedings of the 16th Conference (November 12-16, 2018, Moscow, Russia)

SRC “Planeta” United System for Distributed Data Handling: Actual Features and Future Evolution

Mikhail A. Burtsev1, Oleg E. Milekhin2, Lyubov S. Kramareva3, Valeriy N. Antonov4, Ivan V. Balashov1, Alexandr V. Kashnitskiy1, Evgeny A. Loupian1, Alexey M. Matveev1, Andrey A. Proshin1, Sergey A. Uspenskiy2

  1. Space Research Institute, Russian Academy of Sciences, Moscow, Russia
    burcev@d902.iki.rssi.ru
  2. SRC “Planeta”, Moscow, Russia
    milekhin@planet.iitp.ru
  3. Far-Eastern Center of SRC “Planeta”, Khabarovsk, Russia
    kramareva@dvrcpod.ru
  4. Siberian Center of SRC “Planeta”, Novosibirsk, Russia
    avn@rcpod.siberia.net
DOI 10.21046/rorse2018.374
This paper describes the results of five years operation of the SRC “Planeta” united system for distributed data handling, its actual features and future evolution trends. During this time period the system has grown into a complex data handling instrument providing the solution of many various tasks including hydrometeorological monitoring, emergency monitoring etc. with the system’s resources and data processing and analysis tools only. All these resources are available on the web. Now the system is a distributed modular web-GIS application integrated with very large Earth Remote Sensing online data archives. Furthermore, the system provides online data services for the “IKI-Monitoring” shared computing center and large amount of applied information system thus being one of the main near real-time satellite data providers in Russia.
Keywords: satellite data, distributed systems, very large data archives, space hydrometeorology, Earth Remote Sensing systems
References:

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Section 6. Information systems for working with remote monitoring data

374-379