Publisher's Synopsis
Excerpt from Airborne Infrared Forest Fire Detection System Final Report
A mathematic-functional representation of airborne infrared line scanners is used for development of an effective forest fire detection system. Conventional statistical descriptions of forest backgrounds are found to be useless for predicting detection probabilities. In situ fire detection probability measurements in 13 tim ber types representing the major forested areas of North America are presented. Detection probabilities approach 100 percent in the open-grown, shade intolerant timber types; but the probabilities are mar gimal (50 to 60 percent) in the more shade-tolerant types, such as Douglas-fir rain forests on the West Coast and dense hardwood forests around the Great Lakes.
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