Producing Islamshahr Land-Use Maps in 2015 Using Maximum Likelihood and Fuzzy Classification Methods

Related data to land cover and land use has a great importance for land use planning and land management. Nowadays, satellite imagery and remote sensing techniques are the best ways to extract land cover and land use maps as a fundamental map in territory planning. Comparison between maximum likelihood and fuzzy methods to extract land cover maps and satellite images of Islamshahr using OLI Landsat for 2015 is the main objective of this study. To achieve this goal, by applying indispensable pre-processing, implementation and operation of processing images using maximum likelihood and fuzzy thematic map covers and land use algorithm in five classes, including man-made, bare land, agricultural land, orchard, landscape and road have been prepared. The overall accuracy was evaluated and determined by accuracy of the two methods. Based on the results, in both methods, man-made land use accounted for most of the area and the road showed the lowest and results of evaluation have shown that the classification using maximum likelihood algorithm with overall accuracy of 88.10% and kappa coefficient 0.84 compared to fuzzy method with 87.83 accuracy and kappa coefficient 0.83 are much more accurate.