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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2014, Vol. 11, No. 1, pp. 322-333

Distributed data management of hyperspectral remote sensing data for scientific purposes and applications

I.A. Uvarov1 , A.M. Matveev1 , M.A. Bourtsev1 , E.A. Loupian1 , A.A. Mazurov1 , A.A. Proshin1 , V.P. Savorskiy2 , O.A. Sydneva1 
1 Space Research Institute, Russian Academy of Sciences, Moscow, Russia
2 V.A. Kotelnikov Institute of Radioengineering and Electronics, Fryazino Department, Russian Academy of Sciences, Fryazino, Moscow Region 141190, Russia
The article discusses the issues of management of hyperspectral (HS) remotely sensed data for using in various scientific projects. The main scientific problems traditionally solved with the use of HS data are overviewed. A particular interest to systems and HS data analysis tools providing joint processing with other Earth remote sensing data is emphasized. The paper describes a technology developed to build HS data processing modules to be included in various information systems aimed at distributed remotely sensed data analysis in the framework of scientific projects. The developed technology enables automated HS data acquisition from a number of data centers, HS data archiving with fast access capability, creation of specialized user interfaces providing distributed scientific teams with HS data lookup and analysis functionality. The technology is implemented in HS data processing subsystems in the framework of several specialized scientific information systems, including the “See the Sea” system aimed at the study of the world ocean, the “VolSatView” system created to provide the remote sensing toolkit for volcanology scientists, the “VEGA Science” system which realizes information support of the biosphere state and dynamics research.
Keywords: remote sensing, hyperspectral satellite date, information systems , distributed data processing.
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