Analyzing and Accounting for Interpreter Uncertainty in Training Data to Create Higher Certainty Forest Change Maps

Sime, McKenzie

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Abstract: Analyzing and Accounting for Interpreter Uncertainty in Training Data to Create Higher Certainty Forest Change Maps (AGU25)

Analyzing and Accounting for Interpreter Uncertainty in Training Data to Create Higher Certainty Forest Change Maps

McKenzie Sime, University of Montana, Missoula, MT, United States, Robert E Kennedy, Boston University, Boston, United States and Peter Clary, Oregon State University, Corvallis, OR, United States