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

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156<br />

II - VALIDATION OF RS PRODUCTS FOR FIRE MANAGEMENT<br />

MODIS reflectances sensed within a temporal window of a fixed number of<br />

days are used to predict the reflectance <strong>on</strong> a subsequent day. Rather than<br />

attempting to minimize the directi<strong>on</strong>al informati<strong>on</strong> present in wide fieldof-view<br />

satellite data by compositing, or by the use of spectral indices, this<br />

informati<strong>on</strong> is used to model the directi<strong>on</strong>al dependence of reflectance.<br />

This provides a semi-physically based method to predict change in<br />

reflectance from the previous state. A statistical measure is used to determine<br />

if the difference between the predicted and observed reflectance is a<br />

significant change of interest. The algorithm is repeated independently for<br />

each pixel, moving through the reflectance time series in daily steps. A<br />

temporal c<strong>on</strong>straint is used to differentiate between temporary changes,<br />

such as shadows, that are spectrally similar to more persistent fire induced<br />

changes. The identificati<strong>on</strong> of the date of burning is c<strong>on</strong>strained by the frequency<br />

and occurrence of missing observati<strong>on</strong>s and to reflect this, the algorithm<br />

is run to report the burn date with an 8 day precisi<strong>on</strong>. Further algorithm<br />

details are provided in Roy et al. (2005) and Roy et al. (2008), and<br />

the product is available to the user community (WWW1).<br />

2 - The burned area validati<strong>on</strong> protocol<br />

The potential research, policy and management applicati<strong>on</strong>s of satellite<br />

products place a high priority <strong>on</strong> providing statements about their accuracy<br />

(Morisette et al., 2006). Inter-comparis<strong>on</strong> of products made with different<br />

satellite data and/or algorithms provide an indicati<strong>on</strong> of gross differences<br />

and possibly insights into the reas<strong>on</strong>s for the differences. However<br />

validati<strong>on</strong> with independent reference data is needed to determine accuracy<br />

(Justice et al., 2000). Validati<strong>on</strong> is the term used here, and more generally,<br />

to refer to the process of assessing satellite product accuracy by comparis<strong>on</strong><br />

with independent reference data (Strahler et al., 2006).<br />

An validati<strong>on</strong> protocol for the validati<strong>on</strong> of moderate resoluti<strong>on</strong> burned area<br />

products (Boschetti et al., 2009) has been developed as a joint initiative<br />

of the Committee <strong>on</strong> Earth Observati<strong>on</strong> Satellites (CEOS) Land Product<br />

Validati<strong>on</strong> (LPV) Subgroup (WWW2) and GOFC GOLD (Global Observati<strong>on</strong> of<br />

<strong>Forest</strong> and Land Cover Dynamics) <strong>Fire</strong> (WWW3).<br />

2.1 - Temporal requirements for validati<strong>on</strong> datasets<br />

Given that burned areas are a n<strong>on</strong>-permanent land cover change, it is necessary<br />

to define the temporal interval described by the validati<strong>on</strong> reference<br />

data. For example, in areas where forests burn, fire affected areas may<br />

remain observable in satellite data for years, while in grass/shrubland systems<br />

burned areas may disappear within a single fire seas<strong>on</strong>. The length of<br />

time that the spectral signature of burned areas is detectable in satellite<br />

data after a fire depends <strong>on</strong> the physical evoluti<strong>on</strong> of the post-burn sur-

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