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Complex Objects Remote Sensing Forest Monitoring and Modeling

  • Boris V. Sokolov
  • Vyacheslav A. Zelentsov
  • Olga Brovkina
  • Victor F. Mochalov
  • Semyon A. Potryasaev
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 285)

Abstract

In this paper the concept of integrated modeling and simulation processes of the Complex Natural and Technological Object (CNTO) is presented. The main goal of the investigations consists in the practice of the predetermined modeling. The practice direction as the remote sensing forest monitoring is proposed by the authors. Here the methodical foundations of the integrated modeling and simulation, the process of CNTO operation, the technology of the remote sensing forest monitoring are considered. Principal concern is attended to the continuity of the model and object solving practical issues. More over results of CNTO remote sensing forest monitoring make it possible to adapt models of this system to changing environment conformably to the forest management.

Keywords

Complex natural technological object Control process Simulation model Processing of the space and airborne measurements Forest monitoring 

Notes

Acknowledgments

The research described in this paper is supported by the Russian Foundation for Basic Research (grants 12-07-00302, 13-07-00279, 13-08-00702, 13-08-01250, 13-07-12120-ofi-m, 12-07-13119-ofi-m-RGD), Department of Nanotechnologies and Information Technologies of the RAS (project 2.11), by Postdoc project in technical and economic disciplines at the Mendel University in Brno (reg. number CZ.1.07/2.3.00/30.0031), by ESTLATRUS projects 1.2./ELRI-121/2011/13 «Baltic ICT Platform» and 2.1/ELRI-184/2011/14 «Integrated Intelligent Platform for Monitoring the Cross-Border Natural-Technological Systems» as a part of the Estonia–Latvia–Russia cross border cooperation Program within European Neighborhood and Partnership instrument 2007–2013. This work was partially financially supported by Government of Russian Federation, Grant 074-U01.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Boris V. Sokolov
    • 1
    • 3
  • Vyacheslav A. Zelentsov
    • 1
  • Olga Brovkina
    • 2
  • Victor F. Mochalov
    • 1
  • Semyon A. Potryasaev
    • 1
  1. 1.Russian Academy of ScienceSaint Petersburg Institute of Informatics and Automation (SPIIRAS)St. PetersburgRussia
  2. 2.Global Change Research CentreAcademy of Science of the Czech RepublicPragueCzech Republic
  3. 3.University ITMOSt. PetersburgRussia

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