@article{oai:tohoku.repo.nii.ac.jp:00051148,
 author = {Kalpoma, Kazi A. and Kawano, Koichi and Kudoh, Jun-ichi},
 issue = {11},
 journal = {東北アジア研究, Northeast Asian studies},
 month = {Mar},
 note = {application/pdf, Forest fires cause severe damages to natural resources and human lives all over the world. Though a lot of forest fires occur in Russia and North Asia every year, there is no system available that monitors forest fire in real time processing. However the MODIS Land Rapid Response System provides near-real time fire observations globally, currently forest fire monitoring techniques are not efficient enough to optimally monitor this disaster. For a real-time forest fire monitor system an efficient fire detection method is crucial. Existing fire detection methods are insufficient. Here we reported an improved algorithm for forest fire detection using NOAA AVHRR data. Using the data from AVHRR radiometer of NOAA-16, a real time fire detection method is developed to identify actively burning forest fire and applied to provide daily satellite based fire monitoring for Russia and Northeast Asian region. This paper describes the design and functionality of the system which integrates three components into a data acquisition/processing system and accompanying web browser. The three components are: satellite data reception, image processing for detection of fire and burned area calculation and Web publishing. Our system has been operated since May 2004 and fire information is available on the Internet., 紀要類, 論文, Article, 1355093 bytes},
 pages = {195--204},
 title = {NOAA Satellite Based Real Time Forest Fire Monitoring System for Russia and North Asian Region},
 year = {2007}
}