Two Dimensional Forest Fire Detection Method by Using NOAA AVHRR Images

Jun Ichi Kudoh, Kazuma Hosoi

Research output: Contribution to conferencePaper

14 Citations (Scopus)

Abstract

We have studied Forest Fire Detection method with NOAA AVHKR 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.

Original languageEnglish
Pages2494-2495
Number of pages2
Publication statusPublished - 2003 Nov 24
Event2003 IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France
Duration: 2003 Jul 212003 Jul 25

Other

Other2003 IGARSS: Learning From Earth's Shapes and Colours
CountryFrance
CityToulouse
Period03/7/2103/7/25

Keywords

  • Forest Fire Detection NOAA AVHRR

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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  • Cite this

    Kudoh, J. I., & Hosoi, K. (2003). Two Dimensional Forest Fire Detection Method by Using NOAA AVHRR Images. 2494-2495. Paper presented at 2003 IGARSS: Learning From Earth's Shapes and Colours, Toulouse, France.