This workshop teaches participants how to (1) conduct pixel- and object-based image classification using traditional (Support Vector Machine and Random Forests) machine learning algorithms; (2) build models for data preparation and experiment with different classification parameters; (3) use the deeplab deep learning architecture for image segmentation (classification). Participants will be briefly introduced to necessary theoretical background information as well as practical implementation using ArcGIS Pro. Real world examples of wetland land cover classification will be used in the demonstration.
