1. 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 =
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): doi: /RemoteSensing
Trends Journal of Sciences Research | © The Author This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. 1