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Proceedings Paper

Detection of burned areas in Africa using a multitemporal multithreshold analysis of NOAA AVHRR GAC data
Author(s): Paulo M. Barbosa; Jean-Marie Gregoire; Jose M. Cardoso Pereira
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Paper Abstract

A methodology to detect vegetation burned areas is presented together with the results obtained for the African continent between November 1990 and October 1991. NOAA-AVHRR-GAC-5 Km images were used in this study. The spectral bands and indices used were land surface temperature (Ts) and the Global Environment Monitoring Index (GEMI). The time series was composited in weekly images using the minimum value composite of albedo (MiVCA). After analysis of the weekly profiles on the main vegetation types that are affected by burning, a multitemporal multithreshold technique to detect burned pixels was developed [Burned Area Algorithm (BAA)]. This technique was based on the increase of Ts 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 IGBP-DIS Global Fire Product. Comparison with a Landsat TM image classification showed good performance of the algorithm.

Paper Details

Date Published: 30 December 1997
PDF: 9 pages
Proc. SPIE 3222, Earth Surface Remote Sensing, (30 December 1997); doi: 10.1117/12.298128
Show Author Affiliations
Paulo M. Barbosa, Space Applications Institute/Joint Research Ctr. (Italy)
Jean-Marie Gregoire, Space Applications Institute/Joint Research Ctr. (Italy)
Jose M. Cardoso Pereira, ISA/Univ. Tecnica de Lisboa (Portugal)


Published in SPIE Proceedings Vol. 3222:
Earth Surface Remote Sensing
Giovanna Cecchi; Edwin T. Engman; Eugenio Zilioli, Editor(s)

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