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•This is an enlargement of a 1 square mile
training segment.
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•The clustering/classification is an iterative
process, as fields get misclassified, they can be fixed or marked as bad for
training and reprocessed.
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•There are a number of tools that can be used to
evaluate classification accuracy: 1) Visual inspection of all categorized
training fields within an Analysis District. 2) Review of individual
signatures/categories that do not perform as expected. 3) Evaluate the
percent correct and confusion matrix, which shows counts of pixels by ground
truth labels versus the classification’s output category number. 4) A linear
regression may be run, by cover type of interest, to determine classification
accuracy with respect to calculation of crop acreage.
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•Once the analyst is satisfied with the
classification, the next step is acreage estimation.
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