Fire danger estimation from MODIS Enhanced Vegetation Index data: application to Galicia region (north-west Spain)
M. M. Bisquert A , J. M. Sánchez B C and V. Caselles A
+ Author Affiliations
- Author Affiliations
A Earth Physics and Thermodynamics Department, University of Valencia, E-46100 Burjassot, Spain.
B Applied Physics Department, University of Castilla-La Mancha, E-02071 Albacete, Spain.
C Corresponding author. Email: juanmanuel.sanchez@uclm.es
International Journal of Wildland Fire 20(3) 465-473 https://doi.org/10.1071/WF10002
Submitted: 6 January 2010 Accepted: 1 September 2010 Published: 5 May 2011
Abstract
Galicia, in north-west Spain, is a region especially affected by devastating forest fires. The development of a fire danger prediction model adapted to this particular region is required. In this paper, we focus on changes in the condition of vegetation as an indicator of fire danger. The potential of the Enhanced Vegetation Index (EVI) together with period-of-year to monitor vegetation changes in Galicia is shown. The Moderate Resolution Imaging Spectroradiometer (MODIS), onboard the Terra satellite, was chosen for this study. A 6-year dataset of EVI images, from the product MOD13Q1 (16-day composites), together with fire data in a 10 × 10-km grid basis, were used. Logistic regression was used to assess the relationship between the percentage of fire activity and EVI variations together with period-of-year. The results show the ability of the model obtained to discriminate different levels of fire occurrence danger, with an estimation error of ~5%. This remote sensing technique may contribute to improving the efficiency of the currently used fire prevention systems.
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