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

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Cyberpark project: Multitemporal satellite data set for pre-operati<strong>on</strong>al fire susceptibility m<strong>on</strong>itoring and post-fire recovery estimati<strong>on</strong> 97<br />

Figure 2 - Danger map obtained for February, May, July, and October 2007.<br />

2.2 - Post-fire vegetati<strong>on</strong> recovery assessment<br />

The assessment of vegetati<strong>on</strong> fire recovery is performed using satellite time<br />

series. MODIS Normalized Difference Vegetati<strong>on</strong> Index (NDVI) from 2001 to<br />

2007 was used to examine the recovery characteristics of fire affected vegetati<strong>on</strong><br />

at different temporal and spatial scales. In order to eliminate the<br />

phenological fluctuati<strong>on</strong>s, for each decadal compositi<strong>on</strong>, we focused <strong>on</strong> the<br />

normalized departure NDVIdn = (NDVI-NDVIm)/σndvi where NDVIm is the<br />

decadal mean and σndvi is the decadal standard deviati<strong>on</strong> see figure 3. The<br />

decadal and the standard deviati<strong>on</strong> are calculated for each decade, e.g.,<br />

first decade of January, by averaging over all years in the record. We analyzed<br />

both: (1) Post-disturbance NDVI spatial patterns <strong>on</strong> each image date<br />

were compared to the pre-disturbance pattern to determine the extent to<br />

which the pre-disturbance pattern was re-established, and the rate of this<br />

recovery. (2) time variati<strong>on</strong> of NDVI for pixels fire-affected and fire-unaffected<br />

areas (Tuia et al., 2008).

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