Forest Fire Monitoring System Using Remote Sensing Data

  • Hwangbo, Ju-Won (SPINS lab, Dept. of Civil, Urban and Geosystem Engineering, Seoul National University) ;
  • Yu, Ki-Yun (SPINS lab, Dept. of Civil, Urban and Geosystem Engineering, Seoul National University)
  • Published : 2003.11.03

Abstract

For forest fire monitoring in relatively cool area like Siberia, design of Decision Support System (DSS) is proposed. The DSS is consisted of three different algorithms to detect potential fires from NOAA AVHRR image. The algorithm developed by CCRS (Canada Center for Remote Sensing) uses fixed thresholds for multi-channel information like one by ESA (European Space Agency). The algorithm of IGBP (International Geosphere Biosphere Program) involves contextual information in deriving fire pixels. CCRS and IGBP algorithms are rather liberal compared to more conservative ESA algorithm. Fire pixel information from the three algorithms is presented to the user. The user considers all these information in making decision about the location fire takes place.

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