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This paper presents a methodology to detect areas of burnt vegetation together with the results obtained for the African continent between November 1990 and October 1991. National Oceanic and Atmospheric Administration (NOAA)- advanced very high resolution radiometer (AVHRR)- global area coverage (GAC)-5 Km images were used in this study. The spectral bands and indices used were land surface temperature T(s) and the global environment monitoring index (GEMI). The time series was composited in weekly images using the minimum value composite of albedo. After analysis of the weekly profiles on the main vegetation types that are effected by burning, a multitemporal multithreshold technique to detect burnt pixels was developed; the burned area algorithm (BAA). This technique was based on the increase of T(s) and a decrease in the GEMI after a fire occurrence. The results showed good agreement at the continental scale with the temporal and spatial patterns of active fires from the international geosphere biosphere program-data and information system (IGBP-DIS) global fire product. Comparison with a Landsat TM image classification showed good performance of the algorithm.

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Authors: BARBOSA P M, JRC Ispra (IT);GRÉGOIRE J-M, JRC Ispra (IT);PEREIRA J M C, ISA/UTL, Dep. Engenharia Florestal, Lisboa (PT)
Bibliographic Reference: Paper presented: The European Symposium on Aerospace Remote Sensing: Remote Sensing for Agriculture, ecosystems and hydrology, London (GB), 22-26 September 1997
Availability: Available from (1) as Paper EN 40771 ORA
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