Improving the efficiency of forest cover forecasting using ANFIS

Abstract

Study and analysis of forest cover is a crucial area of research due to the increasing effects of global warming. Scientists have devised various algorithms which not only analyze but help in predicting the forest cover for a particular area based on the parameters extracted from that area. In this paper, we propose a forest cover prediction algorithm which is based on Artificial Neural networks & Fuzzy Inference System (ANFIS), which uses the image analysis data for prediction. The work shows that the prediction accuracy of our proposed ANFIS system is superior to that of the standard neural networks. The datasets used are taken from standard GIS websites in order to evaluate the prediction and validate the same.