The proposed project will use machine learning to predict vegetation biomass across the state of California using climate variables (precipitation, temperature). This will create a map of what vegetation is expected to be in a given climate regime. This modeled vegetation distribution will be compared to a map of observed vegetation to identify regions where […]
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