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

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IV - BURNED LAND MAPPING, FIRE SEVERITY DETERMINATION, AND VEGETATION RECOVERY ASSESSMENT<br />

face is detected in 2002 (36.07 ha) <strong>on</strong>ly in the crop (74%) and grass/shrub<br />

(26%) classes. In this park burned area is also detected in pastureland<br />

(data not shown in the histograms) although it is <strong>on</strong>ly 3% of the five-year<br />

total (1157.55 ha). This type of informati<strong>on</strong> can be very useful for the<br />

assessment of land cover changes driven by fires especially when they<br />

affect natural resources such as protected forests.<br />

Accuracy assessment showed that <strong>on</strong> average the overall accuracy of ASTER<br />

scene classificati<strong>on</strong> is better than 90% and omissi<strong>on</strong> and commissi<strong>on</strong> errors<br />

are about 50% and 15%; low commissi<strong>on</strong> errors highlight that classificati<strong>on</strong><br />

is c<strong>on</strong>servative with few false alarms. These figures quantify the average<br />

scene accuracy and not the accuracy of the annual burned area maps<br />

obtained by summing burned perimeters.<br />

Since our results can be of interest for scientific groups working <strong>on</strong> fire<br />

m<strong>on</strong>itoring, we distribute burned area maps through a Web Map Server<br />

(WMS) (URL: http://geoportal.irea.cnr.it:8080/geoportal/local_it.jsp) created<br />

at CNR-IREA premises for purposes of the <strong>European</strong> Project IDE-<br />

Univers (www.ideunivers.eu). These burned areas perimeters are also available<br />

through the “Portale Cartografico Nazi<strong>on</strong>ale” (URL: http://www.pcn.<br />

minambiente.it/PCN/progetto_incendi.htm) of the Italian Ministry of the<br />

Envir<strong>on</strong>ment.<br />

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

In this work we built a geographic database of burned area perimeters for<br />

Italian Nati<strong>on</strong>al Parks derived from ASTER and SPOT satellite images<br />

between 2001 and 2005. Accuracy measures highlighted the c<strong>on</strong>servative<br />

character of the classificati<strong>on</strong>s with a low rate of false alarms (average<br />

scene commissi<strong>on</strong> error is less than 15%).<br />

References<br />

Brivio, P.A., Petrucci, B., Boschetti, M., Carrara, P., Pepe, M., Rampini, A.,<br />

Stroppiana, D., Zaffar<strong>on</strong>i, P., 2009. A multi-year geographic database of<br />

fire affected area derives from satellite images in the Nati<strong>on</strong>al Parks of<br />

Italy. Italian Journal of Remote Sensing, Vol 41, n. 2.<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 Sensing of Envir<strong>on</strong>ment, 37, 35-46.<br />

Paganini, M., Arino, O., Benvenuti, M., Cristaldi, M., Bordin, M., Coretti, C.,<br />

Mus<strong>on</strong>e, A., 2003. ITALSCAR, a regi<strong>on</strong>al burned forest mapping dem<strong>on</strong>strati<strong>on</strong><br />

project in Italy. Internati<strong>on</strong>al Geoscience and Remote Sensing<br />

Symposium, 2003. IGARSS ‘03. Proc. 2003 IEEE Volume 2, 21-25 July<br />

2003: 1290-1292.<br />

Piccoli D., Cattoi M., 2004. I rilievi delle aree percorse dal fuoco effettuati<br />

dal Corpo <strong>Forest</strong>ale dello Stato per le attività di polizia giudiziaria.

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