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

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

1,†,* email, 2email and 1email
Received: 30 October 2013; in revised form: 25 December 2013 / Accepted: 27 December 2013 / Published: 3 January 2014
(This article belongs to the Special Issue Analysis of Remote Sensing Image Data)
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.
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
PDF Full-text Download PDF Full-Text [587 KB, uploaded 19 June 2014 01:54 CEST]

Export to BibTeX |
EndNote


MDPI and ACS Style

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

AMA Style

Bisquert M, Sánchez JM, Caselles V. Modeling Fire Danger in Galicia and Asturias (Spain) from MODIS Images. Remote Sensing. 2014; 6(1):540-554.

Chicago/Turabian Style

Bisquert, Mar; Sánchez, Juan M.; Caselles, Vicente. 2014. "Modeling Fire Danger in Galicia and Asturias (Spain) from MODIS Images." Remote Sens. 6, no. 1: 540-554.

Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert