Satellite-based detection of Canadian boreal forest fires: development and application of the algorithm

Abstract. This study presents a comprehensive investigation of res across the Canadian boreal forest zone by means of satellite-based remote sensing. A re-detection algorithm was designed to monitor res using daily Advanced Very High Resolution Radiometer (AVHRR) images. It exploits information from multichannelAVHRRmeasurementsto determine the locationsof res on satellite pixels of about 1 km2 under clear sky or thin smoke cloud conditions. Daily re maps were obtained showing most of the active res across Canada (except those obscured by thick clouds). This was achieved by rst compositingAVHRR scenes acquired over Canada on a given day and then applying the re-detection algo-rithm. For the re seasons of 1994–1998, about 800 NOAA/AVHRR daily mosaics were processed. The results provide valuable nation-wide information on re activities in terms of their locations, burned area, starting and ending dates, as well as development.The total burned area as detected by satellite across Canada is estimated to be approximately 3.9, 4.9, 1.3, 0.4 and 2.4 million hectares in 1994, 1995, 1996, 1997 and 1998, respectively. The peak month of burning varies considerably from one year to another between June and August, as does the spatial distributionof res. In general, conifer forests appear to be more vulnerable to burning and res tend to grow larger than in deciduous forests. 1