To watch the previous part (Part 1) of this video
https://www.dailymotion.com/partner/x2p758r/media/video/details/x8e2dnw
The two-part video series compared the three most commonly used LULC classifiers in Arc GIS. Overall accuracy was achieved by Maximum Likelihood (67.2%), Random Tree (75.4%), and Support Vector Machine (74.8%). By far, the Random tree classifier outperformed SVM, implying that it is the best classifier. The result may vary depending on the geographical context.
Background Music "Sino Blues" arranged by Moges Y.
