An application of the perpendicular moisture index for the prediction of fire hazard

An application of the perpendicular moisture index for the prediction of fire hazard

Maffei, C.
Menenti, M.

Civil Engineering and Geosciences

Geoscience & Remote Sensing

2014-03-31

Various factors contribute to forest fire hazard, and among them vegetation moisture is the one that dictates susceptibility to fire ignition and propagation. The scientific community has developed a number of spectral indices based on remote sensing measurements in the optical domain for the assessment of vegetation equivalent water thickness (EWT), which is defined as the mass of liquid water per unit of leaf surface. However, fire models rely on the live fuel moisture content (LFMC) as a measure of vegetation moisture. LFMC is defined as the ratio of the mass of the liquid water in a fresh leaf over the mass of oven dry leaf, and spectral indices proposed so far fail in capturing LFMC variability. Recently, the perpendicular moisture index (PMI), based on MODIS, was pro-posed to overcome this limitation and provide a direct measure of LFMC. The aim of this research was to understand the potential and limitations of the PMI in predicting fire hazard, towards its ap-plication in a practical context. To this purpose, a data set of more than 7,700 fires recorded in Campania (13,595 km2), Italy, between 2000 and 2008 was compared with PMI derived from MODIS images. Results show that there is no relationship between PMI and fire size, whereas a linear correlation was found between the spectral index and fire rate of spread.

http://resolver.tudelft.nl/uuid:8e655865-796e-4b51-818e-b70932c83334

https://doi.org/10.12760/01-2014-1-02

EARSeL

1729-3782

EARSeL eProceedings, 13 (1), 2014

Institutional Repository

journal article

(c) 2014 The Author(s)