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This scientific journal article describes a new model that classifies high resolution (~1 m2) 3-band red, green, blue (RGB) imagery from a single point in time into one of four color classes corresponding to tree crown condition or health: green healthy crowns, red damaged or dying crowns, gray damaged or dead crowns, and shadowed crowns where the condition status is unknown. These Tree Crown Health (TCH) models trained on data from the United States (US) Department of Agriculture, National Agriculture Imagery Program (NAIP), for all 48 States in the contiguous US and spanning years 2012 to 2019, exhibited high measures of model performance and transferability

William B. Monahan,Colton E. Arnspiger, Parth Bhatt, Zhongming An, Frank J. Krist, Tao Liu, Robert P. Richard, Curtis Edson, Robert E. Froese, John Steffenson, Tony C. Lammers, Randy Frosh

Oct 5, 2022. PLOS ONE.

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