Assessment of forest fire seasonality using MODIS fire potential: A time series approach

M. Huesca Martinez, Javier Litago*, Alicia Palacios-Orueta, Fernando Montes, Ana Sebastian, Paula Escribano

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

52 Citations (Scopus)

Abstract

We utilized Fire Potential Index (FPI) to assess quantitatively fire season in a Mediterranean and a Temperate ecoregion of Iberian Peninsula by means of Time Series Analysis. The FPI was derived using MODIS NDWI and NDVI time series as indicators of vegetation status. Temperature and relative humidity time series from meteorological stations were interpolated using Universal Kriging. The average FPI time series were computed for each ecoregion for the period running from January 2001 to December 2005 and Time Series Analysis was applied to these series. Results show that FPINDWI and FPINDVI were able to describe fire season in two different ecoregions. Using Time Series Analysis was possible to evaluate and model fire dynamics. By means of spectral analysis and autoregressive models it was possible to detect hidden periodic components and model FPI dynamics with previous FPI information. Large differences between the Mediterranean and the Temperate ecoregions were demonstrated and subtle variability in the Temperate region could be explained. This quantitative approach represents an operational new tool for assessing subtle variations in fire season due to climate change.
Original languageEnglish
Pages (from-to)1946-1955
Number of pages9
JournalAgricultural and forest meteorology
Volume149
Issue number11
Early online date29 Jul 2009
DOIs
Publication statusPublished - 3 Nov 2009
Externally publishedYes

Keywords

  • ITC-CV

Fingerprint

Dive into the research topics of 'Assessment of forest fire seasonality using MODIS fire potential: A time series approach'. Together they form a unique fingerprint.

Cite this