BURN SCAR EXTRACTION USING FUSED LANDSAT 8 OLI and SPOT 6 IMAGERIES IN PEAT SWAMP FOREST

摘要

Burn scar is an important parameter when describing the impact of forest fire to the ecosystem. Burn scat-extraction using remote sensing data is an efficient way to evaluate burn area. However. MODIS data is not suitable for small-scale fire event, which occurred locally. The accuracies is less due to blurred and irregular edges in response to the 1km x 1km pixels of MODIS data. Therefore, this paper introduced techniques of burn scar extraction using higher resolution imagery i.e. Landsat 8 and SPOT 6. In this research, different types of fused image techniques were used to both pre and post fire imageries to identified burn scar areas. Three fusion techniques investigated including HPF Resolution Merge, Modified IMS Resolution Merge and Wavelet Resolution Merge. Quality assessment of the fused image based on quality and quantitative aspects of the spatial and the spectral visibility of the images. High Past Filter techniques on fused imaged gives best result for burn scar identification visually. Based on this best-fused image, further Normalized Burned Ratio (NBR) analysis conducted to calculate and produced burn severity map. The burn severity map will eventually help authorities evaluate fire damage and take measures on forest regeneration.