Title: An Algorithm for Extracting Burned Areas from Time Series of AVHRR GAC Data Applied at a Continental Scale.
Citation: Remote Sensing of Environment vol. 69 no. 3 p. 253-263
Publication Year: 1999
JRC N°: JRC16662
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC16662
Type: Articles in periodicals and books
Abstract: This study describes the methodology developed to detect burned surfaces using a large time series of low-resolution satellite data. NOAA-AVHRR-GAC 5 Km images were used because they constitute a very complete historical data set of satellite imagery over Africa. Preliminary results showed that indices that make use of the information contained in Channel 2 and Channel 3 are the most adequate to detect burned areas. The Burned Area Algorithm (BAA) relies on a multitemporal multithreshold approach, based on the spectral changes of the land surface after a fire occurrence. Validation of the algorithm was done through comparison with a number of Landsat TM images that were classified in terms of burned and unburned surfaces, showing an overall accuracy of 71%.
JRC Directorate:Joint Research Centre Historical Collection

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