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5 cards from this section. Quick, good the night before a test.
What is accuracy assessment?
Think about why validating data is important.
Name one type of error that can occur during remote sensing classification.
Consider the factors that could distort results.
What does accuracy assessment measure?
Consider what it means to validate data.
True or False: Producer's accuracy reflects the probability that a pixel classified on the map actually represents that category on the ground.
Think about the meaning of 'producer' in this context.
Using a dataset of classified satellite images, design a systematic approach to select ground truth samples. Discuss which sampling technique would be most effective and justify your choice.
Consider how the distribution can affect the overall assessment.
Given a confusion matrix, calculate the producer's and user's accuracy for each class, and analyze any discrepancies. What does this tell you about the classifications?
Look closely at both types of accuracy to understand the strengths and weaknesses in your classifications.
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