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

Burnt area index using MODIA and ASTER data 211
Figure 1 - (a) Results of the SVM algorithm application inside the fire perimeter for Gran
Canaria ASTER image. In grey, unburned areas; in white, reservoirs; and in black, burnt areas.
(b) Results of the SVM algorithm application to Gran Canaria MODIS image. In grey, unburned
areas; and in black, burnt areas.
According to Chuvieco et al. (2005), the global reliability of the algorithm
and the confidence interval of the real reliability are obtained with the
omission and commission values yielded. Similarly, considering a 95% reliability,
the degree of reliability of the burnt area mapping, the sampling
error and the confidence interval are worse for MODIS indexes than those
obtained for ASTER.
3 - Results and discussion
Using SVM algorithm, we have analyzed the suitability of each index to distinguish
the burned area from the rest of the unburned island (Figure 1).
Within burnt area perimeter different areas have been selected as training
areas for SVM algorithm application and different Kernels have been applied
to the SVM algorithm although the RBF gave better results. The category
water has been chosen on the basis of existing reservoirs in the south of
the island.