Title :
Application of remote sensing data for forest fires detectionwith the use of a trained thresholding algorithm
Author :
Zraenko, S.M. ; Mymrina, M.A. ; Ganzha, V.V.
Author_Institution :
Ural Fed. Univ. named after the first President of Russia B.N. Yeltsin, Yekaterinburg, Russia
Abstract :
A training procedure for a threshold algorithm of temperature anomalies extraction based on fire data known to a subsatellite. Study of the proposed algorithm to detect other fires in the same photograph made with the use of infrared spectral channels of 4 microns and 11 microns of MODIS spectroradiometer. A good agreement between the results of fire detection with actual data presented in the Internet is achieved.
Keywords :
Internet; forestry; image recognition; infrared imaging; infrared spectroscopy; learning (artificial intelligence); radiometry; remote sensing; wildfires; Internet; MODIS spectroradiometer; fire data; forest fires detection; remote sensing data; temperature anomalies extraction; trained thresholding algorithm; wavelength 11 micron; wavelength 4 micron; Remote sensing; Software;
Conference_Titel :
Microwave & Telecommunication Technology (CriMiCo), 2014 24th International Crimean Conference
Conference_Location :
Sevastopol
Print_ISBN :
978-966-335-412-5
DOI :
10.1109/CRMICO.2014.6959804
