Accuracy Assessment of Remotely Sensed Data: Exercises
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 describes three exercises. The exercises explore the computation of descriptive statistics for an accuracy assessment; sampling to collect reference data with an example of simple random sampling; and the investigation of sampling issues for collecting reference data using a stratified, random sampling approach. The video recording runs 2:59 minutes in length.
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October 21st, 2020
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