HR: 0800h
AN: B11D-0768    [Abstracts]
TI: Improvement of wild fire detection algorithm with observation from commercial flight
AU: * NAKAU, K
EM: nakau.koji@jaxa.jp
AF: Japan Aerospace Exploration Agency (JAXA), 2-1-1, Sengen, Tsukuba, 3058505, Japan
AU: FUKUDA, M
EM: mfukuda@lowtem.hokudai.ac.jp
AF: Hokkaido University, Kita 19, Nishi 8, Kita-ku, Sapporo, 0600819, Japan
AB: The MOD14 algorithm is well tuned for fire detection world wide, and plays a significant role to detect wild fire in many countries, for its improved sensitivity and operability. However, we still need to improve wild fire detection algorithms for less commission or omission errors. To improve it, we built a database system for the fire observation by pilots of passenger aircraft. Then, we examined fire detection status to identify the bottleneck of fire detection, including non-hotspot pixels around every observed fire. Based on this examination, we proposed an improved wild fire detection algorithm modified from MOD14 algorithm. This algorithm detects around 30% more hotspots with not more false alarms comparing to original MOD14 algorithm. This algorithm utilize statistical test based on confidence ellipsoid for simultaneous distribution of brightness temperatures. We continue the analysis to find essential combination of efficient statistical test to detect wild fire and we will show you the latest result of new algorithm based on fire observation in 2007.
DE: 0468 Natural hazards
DE: 0480 Remote sensing
DE: 1834 Human impacts
SC: Biogeosciences [B]
MN: 2007 Fall Meeting