Accuracy Assessment of Remotely Sensed Data (Part 3 of 7)

This video from AmericaView is part of a series that explores the process of assessing the accuracy of maps made from remotely sensed data. In the video, Russell G. Congalton from the University of New Hampshire explores methods and analysis for positional accuracy. After the lesson, learners will be able to understand reference data collection including sampling design, placement, and distribution; define and demonstrate Root Mean Square Error (RMSE); discuss the issues with the National Standard for Spatial Data Analysis (NSSDA); show both horizontal and vertical positional accuracy; and understand the American Society for Photogrammetry and Remote Sensing (ASPRS) 2014 standard. The video recording runs 22:51 minutes in length.