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Abstract
In Brazil, almost all fires are caused by human activities, and for very different reasons: cleaning pastures, preparation for planting, removal of excess undergrowth, hand harvesting of cane sugar, vandalism, etc. Identifying fire occurrence promptly can assist and minimize the negative impact on the affected area. This article presents an onboard fuzzy logic approach for identifying and detecting active fire spots in the Brazilian Amazon forest considering the separability of fire spectral characteristics.
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