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

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Correcti<strong>on</strong> of topographic effects influencing the differenced normalized burn ratio’s optimality for estimating fire severity 275<br />

Figure 3 - Mean topographically uncorrected, c-corrected and modified c-correcti<strong>on</strong> dNBR optimality<br />

score by aspect class (a), average illuminati<strong>on</strong> class (b).<br />

In comparis<strong>on</strong> with topographically uncorrected data, both topographic<br />

correcti<strong>on</strong> techniques increased the optimality of badly illuminated areas<br />

but the modified c-correcti<strong>on</strong> method ameliorated more than the original<br />

c-correcti<strong>on</strong> technique. For well illuminated areas, however, dNBR optimality<br />

dropped after c-correcti<strong>on</strong> while the modified c-correcti<strong>on</strong> realized<br />

slightly better optimality scores than uncorrected data (see figure 3).<br />

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

Based <strong>on</strong> the spectral index theory, the effect of illuminati<strong>on</strong> <strong>on</strong> the dNBR<br />

optimality for assessing fire severity using pre- (2006) and post-fire (2007)<br />

Landsat TM imagery was evaluated for the 2007 Pelop<strong>on</strong>nese wildfires. To<br />

improve the performance of the index, the c-correcti<strong>on</strong> method and a modified<br />

versi<strong>on</strong> of this technique were applied to derive terrain corrected<br />

reflectance. The resulting mean dNBR optimality scores of topographically<br />

uncorrected, c-corrected and modified c-correcti<strong>on</strong> data were respectively<br />

0.57, 0.59 and 0.66. The modified c-correcti<strong>on</strong> method resulted in a more

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