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Remote Sens. 2014, 6(1), 540-554; doi:10.3390/rs6010540
Article

Modeling Fire Danger in Galicia and Asturias (Spain) from MODIS Images

1,†,* , 2
 and
1
1 Department of Earth Physics and Thermodynamics, Faculty of Physics, University of Valencia, Doctor Moliner, 50, E-46100 Burjassot, Spain 2 Applied Physics Department, School of Mining and Industrial Engineering, University of Castilla-La Mancha, Plaza de Manuel Meca, 1, E-13400 Almadén, Spain Currently Address: Laboratory of Informatics, Robotics and Microelectronics (LIRMM), University of Montpellier 2, F-34095 Montpellier, France
* Author to whom correspondence should be addressed.
Received: 30 October 2013 / Revised: 25 December 2013 / Accepted: 27 December 2013 / Published: 3 January 2014
(This article belongs to the Special Issue Analysis of Remote Sensing Image Data)
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Abstract

Forest fires are one of the most dangerous natural hazards, especially when they are recurrent. In areas such as Galicia (Spain), forest fires are frequent and devastating. The development of fire risk models becomes a very important prevention task for these regions. Vegetation and moisture indices can be used to monitor vegetation status; however, the different indices may perform differently depending on the vegetation species. Eight different spectral indices were selected to determine the most appropriate index in Galicia. This study was extended to the adjacent region of Asturias. Six years of MODIS (Moderate Resolution Imaging Spectroradiometer) images, together with ground fire data in a 10 × 10 km grid basis were used. The percentage of fire events met the variations suffered by some of the spectral indices, following a linear regression in both Galicia and Asturias. The Enhanced Vegetation Index (EVI) was the index leading to the best results. Based on these results, a simple fire danger model was established, using logistic regression, by combining the EVI variation with other variables, such as fire history in each cell and period of the year. A seventy percent overall concordance was obtained between estimated and observed fire frequency.
Keywords: forest fires; vegetation indices; fire danger; MODIS; remote sensing forest fires; vegetation indices; fire danger; MODIS; remote sensing
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Bisquert, M.; Sánchez, J.M.; Caselles, V. Modeling Fire Danger in Galicia and Asturias (Spain) from MODIS Images. Remote Sens. 2014, 6, 540-554.

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