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This paper presents a first analysis of satellite-borne SAR imagery of burnt areas in Mediterranean landscapes. The study site was located in the centre of Portugal, between the districts of Coimbra and Castelo Branco. The ERS multitemporal data set was selected for the analysis according to the meteorological conditions before and after the fires. The proposed burnt area detection method is based on the analysis of backscatter changes in time series of ERS SAR imagery through the use of several change detection techniques. Furthermore, the image classification is performed using a neural network approach. The neural network classification provided accurate results when mapping burnt areas on ERS time series. The results suggest that ERS is suitable for mapping burnt areas in Mediterranean landscapes to assess forest fire damage.

Additional information

Authors: GIMENO M, European Commission, Joint Research Centre, Institute for Environment and Sustainability, Ispra (IT)
Bibliographic Reference: An article published in: EGEO Newsletter, Vol 2, No 3, (September 2002) pp. 6
Availability: The full text of this article is available online at:
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