Information-algorithmic basis of a program complex for forest fire danger estimation

Marina V. Engel; Vladimir V. Belov; Nikolay V. Baranovskiy; Elena P. Yankovich

doi:10.1117/12.2249125

29 November 2016 Information-algorithmic basis of a program complex for forest fire danger estimation

Marina V. Engel, Vladimir V. Belov, Nikolay V. Baranovskiy, Elena P. Yankovich

Proceedings Volume 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 100353Z (2016) https://doi.org/10.1117/12.2249125
Event: XXII International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, 2016, Tomsk, Russian Federation

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.

Citation Download Citation

Marina V. Engel, Vladimir V. Belov, Nikolay V. Baranovskiy, and Elena P. Yankovich "Information-algorithmic basis of a program complex for forest fire danger estimation", Proc. SPIE 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 100353Z (29 November 2016); https://doi.org/10.1117/12.2249125

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