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

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Multi-criteria fuzzy-based approach for mapping burned areas in southern Italy with ASTER imagery 125<br />

The approach described here allows in a more automatic way to map fire<br />

affected areas in a c<strong>on</strong>servative approach that produces very few false<br />

alarms (low commissi<strong>on</strong> error).<br />

References<br />

C<strong>on</strong>galt<strong>on</strong>, R.G., 1991. A review of assessing the accuracy of classificati<strong>on</strong>s<br />

of remotely sensed data. Remote Sens. Envir<strong>on</strong>., 37, 35-46.<br />

Kaufman, Y.J. and Remer L.A., 1994. Detecti<strong>on</strong> of forest using Mid-IR<br />

reflectance: an applicati<strong>on</strong> for aerosol studies. IEEE Trans. Geosci.<br />

Remote Sens., 32, (3), 672-683.<br />

Lasap<strong>on</strong>ara R., 2006. Estimating spectral separability of satellite derived<br />

parameters for burned areas mapping in the Calabria regi<strong>on</strong> by using<br />

SPOT-Vegetati<strong>on</strong> data. Ecological Modelling, 196, 265-270.<br />

Robins<strong>on</strong>, P.B., 2003. A perspective <strong>on</strong> the fundamentals of fuzzy sets and<br />

their use in Geographic Informati<strong>on</strong> Systems. Transacti<strong>on</strong>s <strong>on</strong> GIS 7(1),<br />

3-30.<br />

Stroppiana, D., Boschetti M., Zaffar<strong>on</strong>i P. and Brivio, P.A., 2009. Analysis<br />

and interpretati<strong>on</strong> of spectral indices for soft multi-criteria burned area<br />

mapping in Mediterranean regi<strong>on</strong>s. IEEE Geosci. Remote Sens. Letters, 6<br />

(3), 499-503.

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