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Investigation of a method to estimate live fuel moisture content from satellite measurements in fire risk assessment
Forest Ecology and Management 234S (2006) S32
Abstract
Investigation of a method to estimate live fuel moisture content from satellite measurements in fire risk assessment Marta Yebra a, Emilio Chuvieco a, David Rian˜o b a
Department of Geography, University of Alcala´, Calle Colegios 2, Alcala´ de Henares, Madrid 28801, Spain b Center for Spatial Technologies and Remote Sensing, U. California, Davis, CA, USA
Keywords: Remote sensing; Radiative transfer models; Empirical fittings; Fuel moisture content
This paper presents a method to estimate water content (FMC) of Mediterranean vegetation within the framework of the use of remote sensing to estimate fire risk conditions. The estimation is made from two perspectives, both of them use remote sensing: multitemporary empirical fittings and reflectivity simulation models. The empirical models are based on multiple linear regression equations (MLR) between grassland and shrubland FMC data (years 2001–2005) and Terra-MODIS images for the same dates. The adjustments offered determination coefficients of 0.9 for grassland and 0.73 for shrubland. On the other hand, the simulation models
DOI: 10.1016/j.foreco.2006.08.048 E-mail addresses: [email protected] (M. Yebra), [email protected] (E. Chuvieco), [email protected] (D. Rian˜o).
PROSPECT and SAILH were used forwards to generate two Look up Tables (LUT), one for each structural type. From the simulated data, two regression equations, were obtained between simulated MODIS spectrums and FMC, in a similar way to the empirical adjustment. Similar adjustments to the empirical model were obtained both for grassland (r2 = 0.89) and shrubland (r2 = 0.84) models. Although it is still necessary to test these equations in other areas with similar types of vegetation, preliminary tests indicate that the adjustments based on simulation data offer greater robustness than the empiricists.
Abstract
Investigation of a method to estimate live fuel moisture content from satellite measurements in fire risk assessment Marta Yebra a, Emilio Chuvieco a, David Rian˜o b a
Department of Geography, University of Alcala´, Calle Colegios 2, Alcala´ de Henares, Madrid 28801, Spain b Center for Spatial Technologies and Remote Sensing, U. California, Davis, CA, USA
Keywords: Remote sensing; Radiative transfer models; Empirical fittings; Fuel moisture content
This paper presents a method to estimate water content (FMC) of Mediterranean vegetation within the framework of the use of remote sensing to estimate fire risk conditions. The estimation is made from two perspectives, both of them use remote sensing: multitemporary empirical fittings and reflectivity simulation models. The empirical models are based on multiple linear regression equations (MLR) between grassland and shrubland FMC data (years 2001–2005) and Terra-MODIS images for the same dates. The adjustments offered determination coefficients of 0.9 for grassland and 0.73 for shrubland. On the other hand, the simulation models
DOI: 10.1016/j.foreco.2006.08.048 E-mail addresses: [email protected] (M. Yebra), [email protected] (E. Chuvieco), [email protected] (D. Rian˜o).
PROSPECT and SAILH were used forwards to generate two Look up Tables (LUT), one for each structural type. From the simulated data, two regression equations, were obtained between simulated MODIS spectrums and FMC, in a similar way to the empirical adjustment. Similar adjustments to the empirical model were obtained both for grassland (r2 = 0.89) and shrubland (r2 = 0.84) models. Although it is still necessary to test these equations in other areas with similar types of vegetation, preliminary tests indicate that the adjustments based on simulation data offer greater robustness than the empiricists.