UM Geospatial Digital Special Collections

Citation: Miami-Dade County, Institute for Data Science and Computing (2017). 2015 Little River DEM 10ft [gis dataset]. Miami-Dade County. https://gis-mdc.opendata.arcgis.com/documents/MDC::2015-miami-dade-county-dem-10ft/about. last updated: 2024-10-28 (update frequency: Never). Abstract: This is a Digital Elevation Model (DEM) as a raster mosaic in ESRI float format 32bit representation on a 10ft grid created from the LiDAR collected for the 2015 ITD LiDAR project. Bare-earth 10-foot DEM as 32-bit floating point raster format in ArcGIS GRID Raster format in compliance with USGS LIDAR Base Specifications: georeferencing information, delivered without overlap and with no edge artifacts or mismatched, “NODATA” value for void areas, bridges removed from the surface, etc. Key words: Florida, Miami-Dade County, MDC, Environment, Elevation, DEM 10ft, Vulnerability, Flood, Flood Hazard, Public-Safety, Little River Open Geospatial Consortium Standards: raster tiles | raster tile url: https://gdsc.idsc.miami.edu/tiles/2015_little_river_10ft_DEM/{z}/{x}/{y}.png | WMS (coming soon) | WFS (coming soon) Analytical Functions: gdsc_zonal_statistics(table=lr_2015_dem_10ft,lat=25.718,lng=-80.279,radius=500) ETL documentation

ETL for lr_2015_dem_10ft

######### # 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/lr_2015_dem_10ft/{download,etl} && cd /data/lr_2015_dem_10ft # set update flag based on last update and update frequency do_update=0 if date() < last_update + update_frequency else do_update = 1 # load raster into postGIS with: raster2pgsql -s 2236 -d -C -I lr_2015_dem_10ft.tif -F -t 256x256 lr_2015_dem_10ft > load_raster.sql psql < load_raster.sql rm load_raster.sql