• DocumentCode
    576506
  • Title

    Fire analysis of the Russian Far East in the passed seven years

  • Author

    Kawano, Koichi ; Komatsu, Naoyuki

  • Author_Institution
    Grad. Dept. of Commun. Eng., Tohoku Inst. of Technol., Sendai, Japan
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5939
  • Lastpage
    5942
  • Abstract
    In the Russian Far East, forest fires appear every year. Russia is the greatest forest possession country. It is difficult to estimate the damaged area by the forest fire because the Russian Far East is very vast. The image analysis that uses the satellite imagery is suitable for understanding the actual situation of forest fires. In the image analysis on a forest fire that uses the satellite image, each of scar, smoke, and hot spot is generally used for the analysis method. The scar is suitable for estimating the burned area after extinguishing forest fires. However, scars are not detected when they covered with the cloud. Moreover, scars are not detected when vegetation recovers. To detect smoke is effective to early alert of forest fires. However, the smoke is not detected when a fire is extinguished. Moreover, even if smoke is detected, the total burnt area is not estimated. In this paper, we proposed smoke and scar detection methods, and analyzed seven-year data of the Russian Far East by using NOAA AVHRR images. As a result of the analysis, scars have been detected in April and October, and smoke has been detected in around May every year. In addition, occurrence of a fire is affected by the scar which appears in October of the previous year. The spot of the scar burns again next spring because the vegetation of the scar recovers in May. Moreover, a forest fire occurs every year in the territories of Khabarovsk and the Zeya River.
  • Keywords
    geophysical techniques; vegetation; Khabarovsk territory; NOAA AVHRR images; Russian Far East; Zeya river; burned area; fire analysis; forest fires; forest possession country; image analysis; satellite image; satellite imagery; scar detection method; smoke detection method; Clouds; Color; Equations; Fires; Satellites; US Government agencies; Vegetation mapping; AVHRR; NDVI; RUSSIAN FAR EAST; scar; smoke;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352256
  • Filename
    6352256