Remote Sensing of Wildland Fire: Signals and Sensorsipler.cis.rit.edu/ipler_files/RIT-UB_IPLER_Workshop_2009... · 2009. 12. 7. · Fire detection via atomic emission from potassium

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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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