Vol. 12, No. 1, 1-7, 2013

Characterising fire hazard from temporal sequences of thermal infrared MODIS measurements
Carmine Maffei, Silvia Alfieri, and Massimo Menenti

The objective of the present research was the characterisation of fire hazard using temporal sequences of land surface temperature (LST) derived from Terra-MODIS measurements. The investigation was based on a complete sequence of MODIS LST data from 2000 to 2006 on Campania (Italy) and on a data set of fires officially recorded in the area in the same period.

Missing and/or cloudy LST data were reconstructed by means of the HANTS (Harmonic ANalysis of Time Series) algorithm applied to annual sequences of daily observations. The coefficients of the Fourier analysis were then assessed against spatial patterns of fire occurrence. The HANTS algorithm was also used on the complete LST data set to construct daily reference temperature maps against which to evaluate temperature anomalies and cumulated temperature anomalies.

Results show that fires tend to occur in areas characterised by specific values of several Fourier coefficients with high significance, and to avoid the other areas. The amplitude of the second harmonic is the only Fourier coefficient dictating mean fire size. The mean fire size and the proportion of large fires correlate with both daily and cumulated thermal anomalies. However, the dynamic range of the predictions from cumulated anomalies is much larger, and thus maps of the latter are more effective in predicting fire hazard.

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DOI: 10.12760/01-2013-1-01

Submitted: 13 June 2012
Revised: 20 Dec 2012
Accepted: 22 Dec 2012
Published: 13 Feb 2013
Responsible editor: Ioannis Gitas

Maffei C, S Alfieri & M Menenti, 2013. Characterising fire hazard from temporal sequences of thermal infrared MODIS measurements. EARSeL eProceedings, 12(1): 1-7


EARSeL European Association of Remote Sensing Laboratories, Strasbourg, France


BIS Library and Information System, Carl von Ossietzky University of Oldenburg


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