2020 tree canopy data averaged across 500-meter squares for all 2010 Census urban areas in the State of Wisconsin, as well as adjacent lands. Each pixel has a ¼-km2 resolution and represents the estimated tree canopy cover within that area.The classification was produced from tree canopy data derived from imagery collected by the U.S. Department of Agriculture’s National Agriculture Imagery Program in 2020 using a supervised machine learning classifier. The tree model was created specifically to only identify trees. A statewide training dataset composed of tree, turf, building, road, and water data was utilized to build that model. Quality analysis of the results showed that there were no systematic biases based on geography or community size.
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