Graduate Research and Teaching Assistant Arthur Temple College of Forestry & AgricultStephen F. Austin State University Nacogdoches, Texas, United States
Using Pictometry Data to Assist Training Site Selection for a Supervised Land Cover Classification
Learning Objectives:
Upon completion participants will be able to pick more effective training sites for land cover classifications.
Upon completion participants will be able to understand how to pair the use of Pictometry and ERDAS imagine software to perform supervised classifications in order to create land cover maps.