23 January 2001 Spectral infrared characterization of forest fire scenarios
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Abstract
Early remote sensing of forest fires from specifically dedicated low cost satellites has recently been proposed as one of the most promising techniques for the improvement in the efficiency of forest fire fighting on a global basis. Efficient forest fire remote sensing requires a high probability of detection for small fires combined to a low' false alarm rate. In this paper, a very simple algorithm based on the so-called fire index (FI) has been implemented in an acquisition system developed within the framework of the UE-DGXII Project FUEG02. This system is composed by tw;o infrared cameras operating in the mid and thermal infrared spectral regions and acquire simultaneous digital images of the scene that are calibrated in radiometric units. An image of the FI is then computed improving greatly the discrimination of false alarms. A new approach using only the mid infrared band is also suggested, and spectral intraband processing is studied as a basis for this approach.
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Jose Manuel Aranda, Susana Briz, Antonio J. de Castro, Juan Melendez, Fernando Lopez, "Spectral infrared characterization of forest fire scenarios", Proc. SPIE 4171, Remote Sensing for Agriculture, Ecosystems, and Hydrology II, (23 January 2001); doi: 10.1117/12.413931; http://dx.doi.org/10.1117/12.413931
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KEYWORDS
Fourier transforms

Cameras

Infrared radiation

Infrared cameras

Imaging systems

Carbon dioxide

Calibration

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