GPI Geospatial Inc., operating under the authority of Miami-Dade County Aviation Department, as per contract number E15-MDAD-01, has been tasked by Miami-Dade County's Information Technology Department (ITD) to provide LiDAR data for 615 square miles, including the classification of the data and the creation of hydro-flattened Digital Elevation Model (DEM). GPI Geospatial has created a file geodatabase named 2021_Lidar.gdb. The project deliverables included fully compliant LAS v1.4 with georeferenced information included in LAS header. The LAS files have 16-bit intensity values with GPS times recorded as Adjusted GPS Time, at a precision sufficient to allow unique timestamps for each return. The LiDAR classification followed the ASPRS Standards LIDAR Point Classes: 1 = Unclassified; 2 = Ground (or Bare Earth); 3 = Low Vegetation 0 -5ft; 4 = Medium Vegetation 5-25ft; 5 = High Vegetation 25-above; 6 = Building; 7 = Low Point (noise); 8 = Model Key-point (mass point); 9 = Water; 17 = Bridges; 18 = High Noise; 20 = Ignored Ground. Mass points deliverable LAS v1.4 with georeferenced information included in LAS header. The mass point files have 16-bit intensity values with GPS times recorded as Adjusted GPS Time, at a precision sufficient to allow unique timestamps for each return. The LAS files and mass points were tiled, without overlap, following FDOR tiling grid with 16 sub-tiles provided by Miami Dade County's Information Technology Department (ITD). The Miami-Dade County Information Technology Department (ITD) provided the NOAA Office for Coastal Management (OCM) with a copy of the las point data to make the data available for custom download from the NOAA Digital Coast Data Access Viewer (DAV) and for bulk download from AWS S3. This metadata record describes that data. This data set contains point cloud data(' in LAZ (compressed LAS) format', ''). The data may have been reprojected or otherwise modified from the original data in an automated process. Disregard projection information in this abstract and refer to the spatial reference section.