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JOURNALS // Informatics and Automation // Archive

Tr. SPIIRAN, 2013 Issue 29, Pages 170–179 (Mi trspy641)

Risk prediction of forest fires based on the Remote sensing data

O. V. Brovkinaab, F. Zemekc

a Mozhaiskiy Space Military Academy, St. Petersburg
b St. Petersburg Institute for Informatics and Automation of RAS
c Global Change Research Centre Academy of Science Czech Republic

Abstract: A combined approach based on the remote sensing data treatment is proposed for the fire prevention activities planning, forestry disturbances elimination and risk prediction of forest fires.

Keywords: remote sensing data, automatic and interactive treatment of imagery, fire prevention activities.

UDC: 528.854, 614.849

Received: 28.04.2013



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