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A comparison of unsupervised and supervised classification

Lesson Aims:

To learn how to carry out a supervised classification of land cover and assess its accuracy using ground-truthing survey data, then to learn how to carry out an unsupervised classification and compare the outputs of each method.

Objectives:

By the end of this lesson you should

• understand the concepts underlying supervised and unsupervised classification and the differences between them,

• know how to select training samples for a range of land cover types and enter these into a supervised classification training table,

• know how to carry out an unsupervised classification and understand its limitations and uses.

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Previous: Mini-lessons

Last update: 29 August 2018

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