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Learning algorithm of fire detection from remote sensing data


S. M. Zraenko, M. A. Mymrina, V. V. Ganzha

Ural Federal University named after the first President of Russia B.N.Yeltsin


The paper is received on November 10, 2014


Abstract.  An efficiency lack of regular  algorithm MOD14 of temperature anomalies detection and its modifications for the detection of forest fires are shown. The training threshold algorithm for the analysis of the fire situation on the base of remote sensing data obtained from a sub-satellite is developed. The effectiveness of the proposed algorithm by night and day snapshots of spectroradiometer MODIS is demonstrated.

Key words: forest fires, forest fire internet services, MODIS spectroradiometer, MOD14 algorithm, trained threshold algorithm.