• DocumentCode
    3595832
  • Title

    Two dimensional Forest Fire Detection method by using NOAA AVHRR images

  • Author

    Kudoh, Jun-ichi ; Hosoi, Kazuma

  • Author_Institution
    Center for Northeast Asian Studies, Tohoku Univ., Sendai, Japan
  • Volume
    4
  • fYear
    2003
  • Firstpage
    2494
  • 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
    fires; forestry; vegetation mapping; East Russia region; NOAA AVHRR images; forest fire detection method; forest fires points; three dimensional histogram; Cities and towns; Cost accounting; Eyes; Fires; Histograms; Humans; Layout; Monitoring; Smoke detectors; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1294486
  • Filename
    1294486