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Two dimensional Forest Fire Detection method by using NOAA AVHRR images

Published 30 June 2004
J. Kudoh, K. Hosoi
Citations16

TL;DR

Two dimensional histogram composed on channel 1 and 5 is obtained, which provides reliability fire detection corresponding to occurrence number of the histogram, which makes some looped area in the histograms.

Abstract

We have studied Forest Fire Detection method with NOAA AVHRR images. The 14 years forest fires points were accumulate in a three dimensional histogram in Far East Russia region. The combinations of channels were 1, 3 and 5. The results shows almost all the channel 3 values were saturated. So, two dimensional histogram composed on channel 1 and 5 is obtained, which provides reliability fire detection corresponding to occurrence number of the histogram. This makes some looped area in the histogram. The valuation shows that the area over 5 of the occurrence number in the histogram detected the fire for another region images without errors.

Keywords

Earth and Planetary SciencesEngineeringEnvironmental Science