Accuracy Assessment of Remotely Sensed Data (Part 1 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 provides an introduction to map assessments for remotely sensed data, specifically quantitative data. Congalton explores the different types of map assessments, positional and thematic accuracy assessments, sources of error, reference data collection, spatial autocorrelation, thematic accuracy, sampling, reasons for performing accuracy assessments, and the goals of a map accuracy assessment. The video recording runs 15:43 minutes in length.