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2 cards from this section. Quick, good the night before a test.
What is image classification?
Think about how we categorize images.
Name the two main types of image classification.
Recall the types mentioned in class.
What is the main purpose of image classification in mapping?
Think about why we need to interpret satellite imagery.
True or False: Supervised classification requires training samples from an analyst.
Recall what differentiates the types of classification.
Design a study where unsupervised classification could be beneficial in a remote sensing project. Include specifics on data collection and potential outcomes.
Consider the types of data satellites can collect.
Evaluate a scenario where choosing a poor training sample for supervised classification could lead to misleading results. What might be the long-term implications?
Think about how relevance and recency of data affect analysis.
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