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Forest fire is those of the natural disasters that cause devastation to economy and environment. In order determine forest fire many of the detecting approaches have been applied. In this paper, we proposed an approach for detecting forest fire by using land surface temperature satellite imagery. An image processing technique carried out on to identify the regions of interest extracted and mean wavelengths from these images. If the wavelength is greater than 31.8, it treated as forest fire. This approach uses k- mean clustering for segment the images and Haar wavelet transforms coefficient selection is used to modified decomposition of feature extracted regions to get more accuracy.

A Novel Approach for Identification of Forest Fires using Land Surface Temperature Images