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6 May 2009 Extracting wildfire characteristics using hyperspectral, LIDAR, and thermal IR remote sensing systems
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Abstract
The spatial and temporal characteristics of fire are of great concern to fire suppression managers. This information is critical when deciding what resources to bring and where to put them. The ability to acquire spatially explicit data on active fires is of great importance for the protection of personnel, property, and resources. The purpose of this paper is to investigate the extraction of fire characteristics using hyperspectral, LiDAR and multispectral thermal remote-sensing systems. This will be achieved through: (1) a discussion of acquisition and image-processing techniques of remotely sensed infrared data that improves tactical awareness during both small and large-scale regional fire disturbances; (2) the improvement of baseline data sources for fuel mapping and propagation modeling acquired from LiDAR and hyperspectral sources; and (3), the capabilities of Coherent Doppler LiDAR to monitor atmospheric conditions. The successful evolution of today's sensors with these capabilities in mind will produce more rapid decision-making and resource allocation for the fire mitigation community.
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Christos E. Koulas "Extracting wildfire characteristics using hyperspectral, LIDAR, and thermal IR remote sensing systems", Proc. SPIE 7298, Infrared Technology and Applications XXXV, 72983Q (6 May 2009); https://doi.org/10.1117/12.818987
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