UM Geospatial Digital Special Collections

Citation: Multi-Resolution Land Characteristics Consortium (2023). 2021 Miami-Dade NLCD Tree Cover [gis dataset]. University of Miami GDSC. https://www.mrlc.gov/data/nlcd-2021-tree-canopy-cover-conus. last updated: 2024-10-28 (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, Florida, Miami-Dade Open Geospatial Consortium Standards: raster tiles | raster tile url: https://gdsc.idsc.miami.edu/tiles/2021_miami_dade_tree_canopy_cover_nlcd/{z}/{x}/{y}.png | WMS (coming soon) | WFS (coming soon) Analytical Functions: gdsc_zonal_statistics(table=mdc_2021_nlcd_tcc_v4,lat=25.718,lng=-80.279,radius=500) ETL documentation

ETL for mdc_2021_nlcd_tcc_v4

######### # GDSC ETL is performed in two steps: shell script to ETL data into postgres # and then additional transformations with SQL in postGIS (if needed). #### ######### # Step 1 - bash script (pseudo code) #### # create directory structure and move into it mkdir -p /data/mdc_2021_nlcd_tcc_v4/{download,etl} && cd /data/mdc_2021_nlcd_tcc_v4 # set update flag based on last update and update frequency do_update=0 if date() < last_update + update_frequency else do_update = 1 # load us_2021_nlcd_tcc_v4 as dependency (see us_2021_nlcd_tcc_v4 for details). # clip raster with geometry as: gdalwarp -cutline PG:"" -csql "SELECT geom FROM fl_2022_tl_cousub WHERE countyfp='086'" -crop_to_cutline -s_srs EPSG:5070 -t_srs EPSG:4326 /data/us_2021_nlcd_tcc_v4/download/nlcd_tcc_conus_2021_v2021-4.tif download/mdc_2021_nlcd_tcc_v4.tif ######### # Step 2 - SQL script (pseudo code): #### # load raster into postGIS with: raster2pgsql -s 4326 -d -C -I mdc_2021_nlcd_tcc_v4.tif -F -t 256x256 mdc_2021_nlcd_tcc_v4 > load_raster.sql psql < load_raster.sql rm load_raster.sql