7th Workshop on Forest Fire Management - EARSeL, European ...
7th Workshop on Forest Fire Management - EARSeL, European ...
7th Workshop on Forest Fire Management - EARSeL, European ...
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RELATIONSHIPS BETWEEN COMBUSTION PRODUCTS AND THEIR SPEC-<br />
TRAL PROPERTIES IN FIRE-AFFECTED SHRUBLANDS<br />
R. M<strong>on</strong>torio<br />
University of Zaragoza, Zaragoza, Spain<br />
m<strong>on</strong>torio@unizar.es<br />
F. Pérez-Cabello, A. García-Martín, V. Palacios & J. de la Riva<br />
University of Zaragoza, Zaragoza, Spain<br />
fcabello@unizar.es; algarcia@unizar.es; palacios@unizar.es; delariva@unizar.es<br />
Abstract: <strong>Fire</strong> severity is c<strong>on</strong>sidered an influencing factor in the post-fire<br />
recovery dynamic of burnt areas. New research works point out the usefulness<br />
of studying the individual combusti<strong>on</strong> products which c<strong>on</strong>stituted the<br />
burnt areas. This work aims for assessing the relati<strong>on</strong>ship between the main<br />
combusti<strong>on</strong> products and hyperspectral data and also for comparing the<br />
sensitivity of the original reflectance values against the transformed data<br />
(first derivative and absorpti<strong>on</strong> features analysis). Statistically significant<br />
relati<strong>on</strong>ships are observed between the vegetati<strong>on</strong> remains product and the<br />
three spectral datasets. The black carb<strong>on</strong> and ash products are found to be<br />
highly related with the first derivative dataset but not so good relati<strong>on</strong>ships<br />
are observed with the other two spectral datasets. These results indicate<br />
the higher sensitivity of the first derivative transformed data to combusti<strong>on</strong><br />
products and the usefulness of this spectral informati<strong>on</strong> to the<br />
assessment of fire severity.<br />
1 - Introducti<strong>on</strong><br />
<strong>Forest</strong> dynamic is highly influenced by fire, explaining the need for analyzing<br />
the variables c<strong>on</strong>trolling postfire dynamic (Pérez and Moreno, 1998).<br />
Within these variables, severity has been comm<strong>on</strong>ly c<strong>on</strong>sidered as a critical<br />
<strong>on</strong>e to assess postfire effects due to its greater c<strong>on</strong>trol in vegetati<strong>on</strong><br />
resp<strong>on</strong>se and erosi<strong>on</strong> processes (Miller and Yool, 2002). Satellite data have<br />
been proved suitable for detecting and mapping this variable because fire<br />
disturbances in vegetati<strong>on</strong> and soil produce detectable changes in their<br />
spectral properties. In opposite to the traditi<strong>on</strong>al evaluati<strong>on</strong> from spectral<br />
intervals of severity indices new research works point out the usefulness of<br />
estimating the presence of individual combusti<strong>on</strong> products, especially those<br />
associated with known fire severity levels (Smith et al., 2005). In this<br />
framework, ground-level research works are a necessary first step to study<br />
the actual spectral properties of the solid combusti<strong>on</strong> products and the sen-<br />
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