Abstract
In this study, a survey of land cover mapping and their classification techniques is done. Land cover mapping plays a very important role in making land policy, land management and land analysis. In this survey different approaches are studied that were applied for land cover mapping such as an Artificial Neural Network (ANNs), Fuzzy Logic, Supervised, Unsupervised and Maximum Likelihood. The objective of this research is to analyze, evaluate and compare different algorithms for the classification of land cover and also evaluate and compare the methods to overcome the problems which are faced during classifications [Khan GA, Khan SA, Zafar NA and Islam S. A Review of different Approaches of Land Cover Mapping. Life Sci J 2012;9(4):1023-1032] (ISSN:1097-8135). http://www.lifesciencesite.com. 156