Development of Frame Work for Prediction of Forest Fire and Fire Spread Direction Using Image Mining

Abstract: Forest Fire prediction plays a very important role in security of the forest and wild life. There are some frameworks available which predicts the forest fire. These frameworks use various techniques like fire mapping and monitoring. The current framework is intended to do the similar task by measuring the intensity graph of the fire in an image. The pixel level analysis is done for plotting the intensity graph which gives fire danger rate. In order to predict next fire affected area, pixel values are clustered using Density-based Clustering. Density-based Clustering has shown the result in an efficient way for showing the next fire affected region..

Keywords: Fire prediction, Intensity graph , DENsity-based CLUstEring.