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A contextual algorithm for AVHRR fire detection
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DOI：10.1080/01431169608949018.png)
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Abstract
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A contextual algorithm for fire detection with NOAA-AVHRR-LAC data was developed. Unlike 'traditional' fire detection algorithms (e.g., multichannel thresholds), the decision to record a fire is made by comparing a fire pixel with the pixels in its immediate neighbourhood. The algorithm is self-adaptive and therefore very consistent over large areas as well as through seasons. The algorithm appears to operate successfully in most areas of the world. This Letter presents the contextual approach and describes the algorithm.
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