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Abstract

The software BEHAVE, based on the Rothermel model, was used to compute the ignition probability and the rate of spread of savannah fires. Atmospheric parameters (wind, cloud cover, temperature) and the fuel moisture content was shown to determine the ignition probability. This represents a daily cycle with a minimum of 0 % at 6 am and a maximum of 80 % at 3 pm. The daily variation of fire density was obtained from the analysis of NOAA/AVHRR images taken over the Central African Republic. The number of fires appears to be strongly correlated to the ignition probability. The results show that in the classical condition of satellite image acquisition (1 image/day) it is possible to use this combined remote sensing/modelling approach to compute the actual number of fires on a daily basis.

Additional information

Authors: MOULA M, CNRS, URA, Laboratoire d'Aérologie, Toulouse (FR);BRUSTET J M, CNRS, URA, Laboratoire d'Aérologie, Toulouse (FR);LACAUX J P, CNRS, URA, Laboratoire d'Aérologie, Toulouse (FR);FONTAN J, CNRS, URA, Laboratoire d'Aérologie, Toulouse (FR);EVA H, JRC Ispra (IT);GRÉGOIRE J M, JRC Ispra (IT)
Bibliographic Reference: Paper presented: Biomass Burning and Global Change, Williamsburg (US), March 13-17, 1995
Availability: Available from (1) as Paper EN 39192 ORA
Record Number: 199511255 / Last updated on: 1995-10-13
Category: PUBLICATION
Original language: en
Available languages: en