Detection of burned areas in Africa using a multitemporal multithreshold analysis of NOAA AVHRR GAC data

Paulo M. Barbosa; Jean-Marie Gregoire; Jose M. Cardoso Pereira

doi:10.1117/12.298128

30 December 1997 Detection of burned areas in Africa using a multitemporal multithreshold analysis of NOAA AVHRR GAC data

Paulo M. Barbosa, Jean-Marie Gregoire, Jose M. Cardoso Pereira

Author Affiliations +

Proceedings Volume 3222, Earth Surface Remote Sensing; (1997) https://doi.org/10.1117/12.298128
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom

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 (T_s) and the Global Environment Monitoring Index (GEMI). The time series was composited in weekly images using the minimum value composite of albedo (M_iVCA). 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 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 IGBP-DIS Global Fire Product. Comparison with a Landsat TM image classification showed good performance of the algorithm.

Citation Download Citation

Paulo M. Barbosa, Jean-Marie Gregoire, and Jose M. Cardoso Pereira "Detection of burned areas in Africa using a multitemporal multithreshold analysis of NOAA AVHRR GAC data", Proc. SPIE 3222, Earth Surface Remote Sensing, (30 December 1997); https://doi.org/10.1117/12.298128

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