7th Workshop on Forest Fire Management - EARSeL, European ...

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IV - BURNED LAND MAPPING, FIRE SEVERITY DETERMINATION, AND VEGETATION RECOVERY ASSESSMENT
True positive False Positive
dNBR 2,124 (100 %) 5,378,754 (100%)
dNBR + Upgrade a) 2058, (96.89 %) 3,485,823 (64.8%)
dNBR + Upgrade b) 2,124 (100 %) 5,314,345 (98.8%)
dNBR + Upgrade c) 2,101 (98.91 %) 4,811,680 (89.46%)
dNBR + Upgrade d) 2,082 (98.00 %) 4,705,166 (87.48%)
dNBR + a),b),c) e d) 2,019 (95 %) 2,831,343 (52.64%)
Table 1 - The performances of the upgraded dNBR method.
4 - Conclusions
The dNBR method performances in the mapping and detecting burnt area
have been assessed, in terms of true and false positives. The method has
been found not so much suitable for the unsupervised burnt area detection
and mapping in a regional context, because of the high number of false
positives. An upgrade of this method based on some physical considerations
has been proposed and assessed. The resulting performances show a
consistent reduction of the false positives to the detriment of a slight
reduction of the true positives.
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