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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
DOI :
10.1109/IGARSS.2003.1294486