RT info:eu-repo/semantics/article
T1 Assessment of the influence of biophysical properties related to fuel conditions on fire severity using remote sensing techniques: a case study on a large fire inNWSpain
A1 Garcia-Llamas, Paula
A1 Suarez-Seoane, Susana
A1 Taboada, Angela
A1 Fernandez-García, Victor
A1 Fernandez-Guisuraga, Jose Manuel
A1 Fernández-Manso, Alfonso
A1 Quintano, Carmen
A1 Marcos, Elena
A1 Calvo, Leonor
AB This study analyses the suitability of remote sensing data from different sources (Landsat 7 ETMþ, MODISand Meteosat) in evaluating the effect of fuel conditions on fire severity, using a megafire (11 891 ha) that occurred in aMediterranean pine forest ecosystem (NW Spain) between 19 and 22 August 2012. Fire severity was measured via thedelta Normalized Burn Ratio index. Fuel conditions were evaluated through biophysical variables of: (i) the VisibleAtmospherically Resistant Index and mean actual evapotranspiration, as proxies of potential live fuel amount; and (ii)Land Surface Temperature and water deficit, as proxies of fuel moisture content. Relationships between fuel conditionsand fire severity were evaluated using Random Forest models. Biophysical variables explained 40% of the variance. TheVisible Atmospherically Resistant Index was the most important predictor, being positively associated with fire severity.Evapotranspiration also positively influenced severity, although its importance was conditioned by the data source. Livefuel amount, rather than fuel moisture content, primarily affected fire severity. Nevertheless, an increase in water deficitand land surface temperature was generally associated with greater fire severity. This study highlights that fuel conditionslargely determine fire severity, providing useful information for defining pre-fire actions aimed at reducing fire effects.
PB CSIRO PUBLISHING
YR 2019
FD 2019
LK https://uvadoc.uva.es/handle/10324/67785
UL https://uvadoc.uva.es/handle/10324/67785
LA spa
NO Assessment of the influence of biophysical properties related to fuel conditions on fire severity using remote sensing techniques: a case study on a large fire in NW Spain. International Journal of Wildland Fire, June 2019, vol. 28, p. 512 – 520,
DS UVaDOC
RD 17-jul-2024