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

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100<br />

I - PRE-FIRE PLANNING AND MANAGEMENT<br />

Field work<br />

Remote sensed<br />

dataset<br />

Geometric<br />

correcti<strong>on</strong><br />

Punctual rec<strong>on</strong>naissance of the study area<br />

developed in many years and directed towards<br />

identify the vegetati<strong>on</strong> typologies and structural<br />

characteristics of vegetati<strong>on</strong> cover<br />

Fuel types recogniti<strong>on</strong>s performed before,<br />

during and after the acquisiti<strong>on</strong><br />

of remote sensing data<br />

Prometheus adaptati<strong>on</strong><br />

The seven fuel type classes standardized<br />

in the c<strong>on</strong>text of Prometheus system were<br />

datailed identifield and carefully verified<br />

for the study area <strong>on</strong> the basis of ground<br />

field recogniti<strong>on</strong>s<br />

Model c<strong>on</strong>structi<strong>on</strong><br />

Selecti<strong>on</strong> of Regi<strong>on</strong>s of<br />

Interest point (Ground-Truth<br />

dataset) for the seven<br />

classes (fuel types) + no<br />

Fuel and unclassified pixels<br />

Supervised Classificati<strong>on</strong><br />

using training dataset<br />

Fuel type maps<br />

Post classificati<strong>on</strong><br />

C<strong>on</strong>fusi<strong>on</strong> matrix and testing<br />

dataset<br />

Accuracy assessment<br />

Figure 1 - Shows the work flow of the methodological approach adopted.<br />

Spectral signature<br />

characterizati<strong>on</strong>

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