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

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124<br />

II - VALIDATION OF RS PRODUCTS FOR FIRE MANAGEMENT<br />

Figure shows the final burn map for the Asprom<strong>on</strong>te regi<strong>on</strong> (28/07/2003)<br />

produced by the regi<strong>on</strong> growing algorithm <strong>on</strong> the basis of seed pixels identified<br />

from the weighted average synthetic score map. It is interesting to<br />

notice that the fires in this area occurred mainly in the west coast in a<br />

agro-envir<strong>on</strong>ment close to urban settlements. <strong>Fire</strong>s impact <strong>on</strong> both natural<br />

vegetati<strong>on</strong> (forest and shrub) and agricultural land with almost the same<br />

percentage. The Asprom<strong>on</strong>te Nati<strong>on</strong>al Park, that is the central part of the<br />

study area, resulted less affected by fires (112.5 ha vs 1960.5 ha) probably<br />

as a c<strong>on</strong>sequence of protecti<strong>on</strong> activity and remoteness of some areas.<br />

Validati<strong>on</strong> shows very satisfying results: the WA_RG map has OA and Kappa<br />

coefficient respectively of about 99.5% and 0.73 and presents a low commissi<strong>on</strong><br />

error of 2.7%.<br />

Burned area map for Asprom<strong>on</strong>te. Burn polyg<strong>on</strong>s are overlaid to the Corine Land Cover.<br />

4 - C<strong>on</strong>clusi<strong>on</strong>s<br />

The proposed fuzzy aggregati<strong>on</strong> method allowed to exploit the ability of<br />

different SI in detecting burned areas. When the approach is applied to<br />

independent data the proposed method performs well with high accuracy.

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