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Proceedings Paper

Information-algorithmic basis of a program complex for forest fire danger estimation
Author(s): Marina V. Engel; Vladimir V. Belov; Nikolay V. Baranovskiy; Elena P. Yankovich
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Paper Abstract

Present work is devoted to the description of information and algorithmic support for creation of a program complex for an assessment of forest fire danger. The assessment of forest fire danger is made on the basis of algorithm for classification of the forest territory by vegetation conditions and the modified Nesterov's index. Meteorological data (air temperature and cloudiness) and also the data on thermal anomalies received from satellite measurements by MODIS spectroradiometer for the territory of the Timiryazevskiy forestry of the Tomsk region are used as information on the Environment state.

Paper Details

Date Published: 29 November 2016
PDF: 6 pages
Proc. SPIE 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 100353Z (29 November 2016); doi: 10.1117/12.2249125
Show Author Affiliations
Marina V. Engel, V.E. Zuev Institute of Atmospheric Optics (Russian Federation)
Vladimir V. Belov, V.E. Zuev Institute of Atmospheric Optics (Russian Federation)
National Research Tomsk State Univ. (Russian Federation)
Nikolay V. Baranovskiy, National Research Tomsk Politechnic Univ. (Russian Federation)
Elena P. Yankovich, National Research Tomsk Politechnic Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10035:
22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Gennadii G. Matvienko; Oleg A. Romanovskii, Editor(s)

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