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

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96<br />

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

2 - Methodological Approach and results<br />

The knowledge-based system we developed for fire susceptibility assessment<br />

and fire recovery m<strong>on</strong>itoring is mainly based <strong>on</strong> the use satellite time<br />

series. In particular, the analysis of the MODIS data set 1999 to 2008<br />

(available free of charge from NASA web site) provides reliable informati<strong>on</strong><br />

for the characterizati<strong>on</strong> of vegetati<strong>on</strong> variati<strong>on</strong>s at different temporal and<br />

spatial scales. This is crucial for (i) fire susceptibility and (ii) vegetati<strong>on</strong><br />

fire recovery.<br />

2.1 - <strong>Fire</strong> susceptibility assessment<br />

The assessment of fire susceptibility is performed (as described in Lanorte<br />

et al., 2009 in this book) integrating fuel property (type and loading) with<br />

Greenness and fuel moisture daily maps. Fuel property is obtained from<br />

Landsat TM data processed using supervised classificati<strong>on</strong> techniques and<br />

spectral analysis methodologies performed at sub-pixel level. Using Landsat<br />

TM images we mapped: (i) Vegetati<strong>on</strong> type, (ii) Fuel type (Prometheus system),<br />

(iii) Fuel model (NFFL system), (iv) Fuel load.<br />

Figure 1 - Study area and fuel types.<br />

The analysis was performed in the Capitanata land (Apulia regi<strong>on</strong> -<br />

Southern of Italy) which is shown in figure 1. The estimati<strong>on</strong> of fire susceptibility<br />

was performed as in the case of Basilicata (FIRE-SAT) using<br />

Landsat TM for fuel type mapping and MODIS for fuel greenness and moisture<br />

estimati<strong>on</strong>. Figures 2 show fire danger maps for February, May, July,<br />

and October 2007 respectively.

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