October 30, 2009 1 st IPLER Workshop Remote Sensing of Wildland Fire: Signals and Sensors
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October 30, 2009
1st IPLER Workshop
Remote Sensing of Wildland Fire: Signals and Sensors
Normalized spectral signals: blackbody emission and atmospheric transmission
Fire detection via atomic emission from potassium
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Wavelength, nanometers
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Attenuated K linesAtmospheric transmission (right axis)
K lines in red: bandwidth is ~0.01 nm
WASP Lite
Panchromatic camera LWIR microbolometer camera
Short wave infrared
Mid wave infrared - low gain
WASPdaytime orthorectified images of a wildfire in Montana
Hybrid Contextual Detection AlgorithmBased on a spectral target detection approach using background
suppression and contextual pre-processing
MODIS WASP
Li, Y., A. Vodacek R.L. Kremens, and A.E Ononye. 2005. A hybrid
contextual approach to wildland fire detection using multispectral
imagery., IEEE Transactions on Geoscience and Remote Sensing.
43:2115-2126.
Automated Fire Line Mapping
Ononye, A.E., A. Vodacek, E. Saber. 2006 Automated extraction of fire line parameters from multispectral infrared images., Remote Sensing of Environment, 108:179-188.
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