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

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REMOTE SENSING OF FUEL MOISTURE CONTENT: ADVANCES IN<br />

MEASUREMENT AND MODELLING<br />

F.M. Dans<strong>on</strong><br />

Centre for Envir<strong>on</strong>mental Systems Research, School of Envir<strong>on</strong>ment and Life Sciences,<br />

University of Salford, Salford, UK<br />

f.m.dans<strong>on</strong>@salford.ac.uk<br />

Abstract: Vegetati<strong>on</strong> live fuel moisture c<strong>on</strong>tent (FMC) is routinely measured<br />

in areas pr<strong>on</strong>e to wildfires as it has an important influence <strong>on</strong> the probability<br />

of igniti<strong>on</strong> of the vegetati<strong>on</strong>, and also affects the rate at which fires<br />

may spread. FMC is easy to measure in the field, requiring <strong>on</strong>ly the fresh<br />

and dry weight of a vegetati<strong>on</strong> sample. Field sampling is often limited both<br />

in space and time however and recent remote sensing research has attempted<br />

to develop methods for spatial mapping of FMC. This paper reviews this<br />

research including, the fundamental physical relati<strong>on</strong>ships between FMC<br />

and other variables, empirical work <strong>on</strong> FMC estimati<strong>on</strong>, assessing the role<br />

of canopy reflectance modelling, and c<strong>on</strong>clusi<strong>on</strong>s <strong>on</strong> research priorities.<br />

1 - Introducti<strong>on</strong><br />

Vegetati<strong>on</strong> live FMC is c<strong>on</strong>trolled by the interacti<strong>on</strong> of plant physiology, soil<br />

moisture and atmospheric c<strong>on</strong>diti<strong>on</strong>s. It is therefore spatially and temporally<br />

highly variable and difficult to map using ground measurements which<br />

are normally sparse in space and time (Chuvieco et al., 2002).<br />

Dimitrakopoulos & Papaioannou (2001) showed that for many<br />

Mediterranean species a FMC value of 100% (or less) represents the ‘moisture<br />

of extincti<strong>on</strong>’, and igniti<strong>on</strong> is possible. Spatial and temporal mapping<br />

of FMC will therefore provide critical informati<strong>on</strong> <strong>on</strong> when and where the<br />

moisture of igniti<strong>on</strong> is reached.<br />

FMC may be described as a ‘composite’ variable because it is determined by<br />

a combinati<strong>on</strong> of two independent physical properties of the vegetati<strong>on</strong>,<br />

the leaf equivalent water thickness (EWT) and the leaf dry matter c<strong>on</strong>tent<br />

(DM), both with units of g cm-2 (equati<strong>on</strong> 1):<br />

FMC (%) = EWT/DM *100 (1)<br />

In field sampling however, FMC is more easily estimated from leaf sample<br />

fresh and dry weights.<br />

15

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