20190612 10210500 1.0 TRUE This raster dataset shows the location of forest in the eight county OKI region at 30ft resolution. Data is derived from LiDAR analysis and image classification of color infrared imagery. Data for Ohio was collected in 2007. Data for Kentucky and Indiana was collected in 2012. Tree Canopy This raster dataset shows the location of forest in the eight county OKI region at 30ft resolution. Data is derived from LiDAR analysis and image classification of color infrared imagery. Data for Ohio was collected in 2007. Data for Kentucky and Ind OKI, OGRIP, OSIP TreeCanopy 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