Peng, GX, Shen, W, Hu, DY, Li, J, Chen, YH (2008). Method to identify forest fire based on smoke plumes mask by using MODIS data. JOURNAL OF INFRARED AND MILLIMETER WAVES, 27(3), 185-189.
Due to the poor regional adaptability of MODIS fire detection algorithm version 4, an improved method based on adjusted thresholds for tropical rainforest fire and smoke plume mask contextual analyse was applied in tropical rainforest. Smoke plume is propitious to enhance the identifiability of forest fire. Adjusted thresholds can improve the sensitivity of fire detection. According to the characteristic of tropical rainforest, for smoke plume pixels and non smoke plume pixels, the thresholds of potential fire pixels were adjusted to be 295K and 306 K, respectively. Smoke plume mask can delineate the scope of background pixels and add some constraints to contextual analyse. This can reduce the noise caused by low threshold. Two methods were compared and they were proven to be validated by using forest fire ground data. The improved algorithm has higher sensitivity for small fires in tropical rainforest especially for fires detected at large scan angles, and it increases the ability and accuracy to detect fire spots on regional scale.