Analysis of wild fire behaviour in wild conservation area using image data mining

Forest fire is a major environmental issue creating ecological damage. Fire detection is a key element for controlling such incident. As per the forest survey of India 19.27% or 63.3 million hectare of the Indian land has been classified as forest area, of which 38 million ha alone are hoarded with resources in great quantity (top density above 40%).There are many fire detection algorithms available, each one of it has its own approach of predicting fire. The proposed work processes the satellite images based on its intensity levels to find out the fire affected region (hot spots). In order to detect hot spots agglomerative hierarchical clustering algorithm is used and the direction of the fire spread regions are plotted based on the clusters obtained by the algorithm for the given input image. The implementation is based on RGB values of pixels of an image. The algorithm's efficiency is relatively high when it is applied on forest fire images.