USFS NLCD Percent Tree Canopy (CONUS) v2021-4
              
              Collections:
                Climate Change
              
              
            
          
              Citation:
              
                
                  
                  USDA Forest Service
                
              
              (2023).
              USFS NLCD Percent Tree Canopy (CONUS) v2021-4 [gis dataset].
              Multi-Resolution Land Characteristics Consortium, Sioux Falls, SD.
              https://www.mrlc.gov/data/nlcd-2021-tree-canopy-cover-conus.
               last updated: 2024-01-12
              
               (update frequency: Never).
              
              Abstract: NLCD tree canopy cover is a 30 m raster geospatial dataset that is available for the conterminous United States. They are generated by the USDA Forest Service. These data contain percent tree canopy estimates, as a continuous variable, for each pixel across all land covers and types. Tree canopy cover is derived from multi-spectral satellite imagery and other available ground and ancillary information.
              
              
              Key words:
                
                tree density, tree canopy cover, percent tree canopy, Landsat, Sentinel-2, CONUS, United States
              
              
              
              
              
              
                Open Geospatial Consortium Standards:
                
                
                | WMS (coming soon) | WFS (coming soon)
              
              
              
              
                Analytical Functions:
                  
                    
                    
                    
                    
                      gdsc_zonal_statistics(table=us_2021_nlcd_tcc_v4,lat=25.718,lng=-80.279,radius=500)
                    
                  
              
              
              
              
                
                
              
              
              
            
            
          

