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Proceedings Paper

Fire growth monitoring using Flasse and Ceccato algorithm in south Spain
Author(s): Rafael M. Navarro; Silvia Escuin; Pilar Fernandez
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Paper Abstract

This paper explains the methodology and results of research on the growth of large forest fires, using information from the NOAA-AVHRR sensor. Numerous algorithms have been developed for discriminating pixels of active fires from the rest. These can be divided into three groups: a) those based on information from channel 3 (single channel); b) those using algorithms from several channels (multi-channel); c) those that, as well as using this information, compare the pixel with those around it (contextual). This research used the contextual algorithm of Flasse and Ceccato1 to discriminate between pixels corresponding to active fires and the rest, and to interpret the growth of the fire. Two fires were selected for the purpose: those in the Sierra de Cazulas (Granada) in August 1999, and in Valencia, in July 1994. The results provided useftil information on the growth of fire in general, the area, speed at which it spread and prevailing direction. This suggests that this method can be recommended for studies on fire behaviour, as well as in the provision of resources for fighting the fire at both the regional and national level.

Paper Details

Date Published: 23 January 2001
PDF: 11 pages
Proc. SPIE 4171, Remote Sensing for Agriculture, Ecosystems, and Hydrology II, (23 January 2001); doi: 10.1117/12.413937
Show Author Affiliations
Rafael M. Navarro, Univ. de Cordoba (Spain)
Silvia Escuin, Univ. de Cordoba (Spain)
Pilar Fernandez, Univ. de Cordoba (Spain)


Published in SPIE Proceedings Vol. 4171:
Remote Sensing for Agriculture, Ecosystems, and Hydrology II
Manfred Owe; Guido D'Urso; Eugenio Zilioli, Editor(s)

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