• DocumentCode
    3295104
  • Title

    Spatial and temporal distribution pattern of fires in China using MODIS data

  • Author

    Qin, Xian-Lin ; Li, Zeng-Yuan ; Zhang, Zi-Hui

  • Author_Institution
    Res. Inst. of Forest Resource Inf. Technol., Chinese Acad. of Forestry, Beijing, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    331
  • Lastpage
    334
  • Abstract
    The spatial and temporal distribution pattern of fire is very important to protect environment and resources. In this paper, the spatial and temporal distribution pattern of fires has been studied by using MODIS image and GIS Techniques. The statistic analysis and GIS spatial analysis method have been used. The results showed there are three high density fire regions from spatial and temporal. One is in Daxing´anling forest area of china, where has been taken place many large forest fires during Apr. 15 to June 1 or Sep. 20 to Oct. 20 in past ten years. One is Guangdong province in south of china, most of fires belong to farming fire during November. 1 to March 30. The other is Yunnan province, which in southwest of China, there are many small forest fires during November 1 to May 15 next year.
  • Keywords
    geographic information systems; geophysical image processing; statistical analysis; vegetation; Daxing´anling forest area; GIS spatial analysis method; Guangdong province; MODIS image; Yunnan province; china; farming fire; forest fires; high density fire regions; spatial distribution pattern; statistic analysis; temporal distribution pattern; Fires; Geographic Information Systems; MODIS; NASA; Production; Roads; Spatial resolution; Fires; MODIS; Spatial and temporal distribution pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5649277
  • Filename
    5649277