Overall Classification Accuracy = 87.86% Class Name Reference Total Classified Total Number Correct Producers Accuracy Users Accuracy Sand 22 23 100.00% 95.65% Water bodies 19 18 90.00% Bare land 17 16 84.21% 94.12% Agriculture 14 Grassland 12 63.16% Forest 32 31 96.88% Overall Classification Accuracy = 87.86% Overall Kappa Statistics = 0.8526 Table 5. Accuracy of Landsat imagery2016 From: Monitoring of Land Use/Cover Change Using Remote Sensing and GIS techniques: A case study of Loliondo Game Controlled Area, Tanzania Trends Journal of Sciences Research. 2018;3(1):18-32. doi: 10.31586/RemoteSensing.0301.04 Trends Journal of Sciences Research | © The Author 2018. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. 1