gov.noaa.nmfs.inport:51984 eng UTF8 dataset Elevation OCM Partners resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2026-03-04T19:17:17 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2 row 1000 5 point 1 EPSG::6360 EPSG::2881 2015 Lidar DEM: Miami-Dade County, FL fl2015_miami_dade_dem_m6266_metadata 2016-05-11 publication NOAA/NMFS/EDM 51984 https://www.fisheries.noaa.gov/inport/item/51984 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://coast.noaa.gov/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) website Information on the NOAA Office for Coastal Management (OCM) download https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5038 WWW:LINK-1.0-http--link Citation URL Link to custom download the lidar point data from which these raster Digital Elevation Model (DEM) data were created. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/5038/supplemental/fl2015_miami_dade_m5038_lidar_report.pdf WWW:LINK-1.0-http--link Data set report Link to data set report. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/5038/supplemental/fl2015_miami_dade_m5038_tt_processing_report.pdf WWW:LINK-1.0-http--link Tetra Tech re-processing report Link to the Tetra Tech re-processing report. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/5038/breaklines/ WWW:LINK-1.0-http--link Citation URL Link to the building footprint. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/5038/breaklines/ WWW:LINK-1.0-http--link Citation URL Link to the hydro breaklines. download https://coast.noaa.gov/dataviewer/#/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer. download This metadata record describes the 1798 grid files at a 5 ft grid spacing, received by the NOAA Office for Coastal Management (OCM), provided by the Miami-Dade County Information Technology Department (ITD). Aerial Cartographics of America, Inc. (ACA) LB 6748, operating under the authority of Miami-Dade County Aviation Department, as per contract number E10-MDAD-03, was tasked by Miami-Dade County's Information Technology Department (ITD) to provide LiDAR data for 1612 square miles. The dates of collection were February 15, 17, 18, 19, 20, 21, 2015 and April 2, 3, 11, 12, 13, 2015, collected in 366 flight lines. Tiles were delivered to follow FDOR tiling scheme. Upon receipt and review of the data from Miami-Dade County's ITD, NOAA OCM noticed some inconsistencies in the classifications of the point data and informed Miami-Dade County ITD. OCM decided to improve the usability of the data by contracting out the reclassification of the lidar las files and accordingly, the re-creation of the DEM img files. The original, unclassified point data were sent to Tetra Tech by Aerial Cartographics of America (ACA) for the re-classification work. The re-classified point data and re-created DEMs were delivered to NOAA OCM. In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEMs were created from, are also available. These data are are available for custom download at the link provided in the URL section of this metadata record. Hydro breaklines and a large building footprint (with highest elevation) are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM. Aerial Cartographics of America, Inc. (ACA) LB 6748, operating under the authority of Miami-Dade County Aviation Department, as per contract number E10-MDAD-03, was tasked by Miami Dade County's Information Technology Department (ITD) to provide LiDAR data for 1612 square miles, to create corresponding DEM files, and to extract building roof elevations and add them to the a geodatabase containing existing large building building footprints as a Height field. Aerial Cartographics of America, Inc. (ACA), Miami-Dade County Information Technology Department (ITD) completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information custodian asNeeded https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/5038/supplemental/fl2015_miami_dade_m5038.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > FLORIDA VERTICAL LOCATION > LAND SURFACE place Global Change Master Directory (GCMD) Location Keywords 20.8 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 17.2 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 17.2 DEM beach erosion terrain theme DEMs - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2015 Lidar DEM: Miami-Dade County, FL [Data Date Range], https://www.fisheries.noaa.gov/inport/item/51984. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: None otherRestrictions Use Constraints: Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. The data was collected under the supervision of a Florida licensed Surveyor and Mapper in compliance with Florida Statute 472.000. otherRestrictions Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of ACA, Miami-Dade County, Tetra Tech, NOAA, the Office for Coastal Management or its partners. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 51984 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/51984.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference grid 5 eng; US elevation Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.0.3035 -80.8825255556 -80.105244 25.2250032222 26.0255653056 Feb 15, 17, 18, 19, 20, 21, Apr 2, 3, 11, 12, 13, 2015 | Currentness: Ground Condition 2015-02-15 2015-04-13 Zip Zip GeoTIFF NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6266 WWW:LINK-1.0-http--link Customized Download Link to custom download the DEM data from the Data Access Viewer(DAV). download https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/FL_Miami_Dade_DEM_2015_6266/index.html WWW:LINK-1.0-http--link Bulk Download Link to bulk download the DEM data. download dataset Horizontal Positional Accuracy This product meets or exceeds the stated specifications for the state of Florida. Horizontal accuracy was tested to meet or exceed a 3.8 foot horizontal accuracy (2.2 foot RMSE) at 95 percent confidence level using RMSE(r) x 1.7308 as defined by the Federal Geographic Data Committee's (FGDC) Geospatial Positioning Accuracy Standards, Part 3: NSSDA. Vertical Positional Accuracy NOAA OCM did not determine a new vertical accuracy for the re-classified data. The vertical accuracy value listed in this metadata record is the value for the original Miami-Dade County's ITD data. This product meets or exceeds the stated specifications for the state of Florida. The Fundamental Vertical Accuracy for LiDAR data over well-defined surfaces was tested to meet or exceed a 0.60 foot fundamental vertical accuracy in open well defined terrain at 95 percent confidence level using RMSE(z) x 1.9600 as set forth in the FGDC Geospatial Positioning Accuracy Standards, Part 3: NSSDA. The Vertical Accuracy achieved is RMSx1.96 = 0.21 ft (6.4 cm) x1.96 = 0.41 ft (12.5 cm). This exceeds the required 0.60 ft fundamental vertical accuracy required. For the purpose of this document, open terrain is defined as unobscured, consolidated surfaces, with minimal slope (< 5%) and may contain low-lying grasses through which LiDAR pulses can penetrate; LiDAR errors in these areas will have a statistically normal distribution with a mean = 0 and variance = 1. Vertical accuracies will meet the 95 percent confidence level for open terrain, assuming all systematic errors have been eliminated to the greatest extent possible and the errors are normally distributed. A minimum of thirty (30) check points per each land cover were distributed throughout the project area and collected for each of the following land cover categories and reported in the FVA report: Urban, Bare ground/short grass, and Brush (i.e. low lying vegetation). Check points are distributed so that points are spaced at intervals of at least ten (10) percent of the diagonal distance across the dataset and at least twenty (20) percent of the points are located in each quadrant of the dataset per 500 square mile block. See vendor's report. Completeness Report Data set has been visually inspected. All data produced strives to meet National Mapping Accuracy Standards (NMAS). Conceptual Consistency See vendor's report The project was divided in two phases: Collection and classification of LiDAR data; and building height extraction. The LiDAR data was collected utilizing a Riegl LMS-Q680i in a Cessna 206 from an approximate altitude of 1,800 feet above ground level, an approximate ground speed of 110 knots at a pulse rate repetition of 400kH, resulting in a minimum of 8.2 points per square meter. The sensor used a 60 degree field of view. The project was flown to have 50 percent overlap between swaths. The Global Positioning System (GPS) data were processed using Applanix POSPac Mapping Suite version 7.8 using Smart Base method and single base methods. A fixed bias carrier phase solution was computed in forward and reverse directions. The LiDAR collection took place when Positional Dilution of Precision (PDOP) was at or below 3. Occasionally, the PDOP rose slightly above 3. This had no effect on the data. The GPS trajectory was combined with the IMU data using the Applanix POSPac software. The resulting Smoothed Best Estimate of Trajectory (SBET) was exported and used in Riegl RiProcess software to compute the laser mass point positions in Northing, Easting, and Elevations coordinates. The raw laser data were merged with the SBET using Riegl RiProcess software. The data set was processed using RiProcess, RiAnalyze, and RiWorld software where each flight line was processed to a point cloud. The data was adjusted flight line to flight line using Riegl’s Scan Data Adjustment tool to ensure a proper relative calibration match between flight lines. Each flight was checked for project coverage, data gaps between overlapping flight lines, point density and then exported in LAS 1.3 format. The entire project was collected without gaps. The LAS files were projected to the NAD_1983_HARN_StatePlane_Florida_East_FIPS_0901_Feet and North American Vertical Datum of 1988 (NAVD88). Ellipsoidal heights were converted to orthometric heights using the current Geiod12A. The LAS files were imported to TerraSolid, LTD TerraScan software to be classified to bare earth ground and later feature coded to USGS specifications. The LAS files contain 8 classifications: 1 = unclassified; 2 = ground; 7 = noise points; 9 = water; 10 = buffered ground points surrounding breaklines; 12 = overlap; 15 = overpass and bridges. The tiles dataset was imported to Digital Transfer Solutions EarthShaper® software to collect breaklines from LiDAR data. The single and double line linear hydrographic features were hydro-enforced with downhill constraints to model correct flow patterns. Water bodies were hydro-flattened to ensure uniform elevation across the feature. The data were adjusted flight line to flight line using Riegl’s Scan Data Adjustment tool to ensure a proper relative calibration match between flight lines. Each flight was checked for project coverage, data gaps between overlapping flight lines, point density and then exported in LAS 1.3 format. The LAS files were imported to TerraSolid, LTD TerraScan software to be classified to bare earth ground and later feature coded to USGS specifications. 2015-01-01T00:00:00 DEMs were created using QCoherent LP360 software. The bare-earth LAS data was loaded into the software along with the tile layout and hydro shapefile collected from the LAS data set. DEMS were produced at a 5ft cell size and hydro-flattened. To QC the DEMs Global Mapper was used to check for completeness of the tiles and that the hydro features were flattened and represented correct elevations. Once the QC was complete the files were exported out of ArcGIS to create Arc DEMS. The LiDAR data was ran through an automated ground and building classification using terrascan software. A manual check of the building classification was done in LP360 and terrascan. The provided building shapefile was loaded and data cross sections were taking to check the classification of the outlined buildings. Once the manual check was completed the building LAS points were loaded into LP360 along with the building polygon shapefile supplied by ITD. In LP360 a confliction was ran to drape each building polygon to the max Z value of LAS data found in each polygon. To QC the auto process the building polygon shapefile was brought into ArcGIS using LP360 to take cross sections of the data to check the building polygon Z value. After all the building data was quality controlled and assured we joined the field height to complete the geodatabase BuildingPlanimetrics_from PSDE3.gdb provided by the county. Any building with a height value of 0 represents a building that did not exist in the LiDAR dataset. The building geodatabase remained as ITD provided it projected horizontally to the NAD_1983_ StatePlane_Florida_East_FIPS_0901_Feet, and vertically to the North American Vertical Datum of 1988 (NAVD88). COLLECTION DATES: 2/15/15, 2/17/15, 2/18/15, 2/19/15, 2/20/15, 2/21/15, 4/2/15, 4/3/15, 4/11/15/, 4/12/15, 4/13/15. 366 flight lines of data were collected. 2015-01-01T00:00:00 The NOAA Office for Coastal Management (OCM) received 1798 topographic DEM files in img format from the Miami-Dade County Information Technology Department (ITD). The bare earth raster files were at a 5 ft grid spacing. The data were received in Florida State Plane East Zone 0901, NAD83 HARN coordinates and were in orthometric (NAVD88) elevations in US feet. Upon receipt and review of the data from Miami-Dade County's ITD, NOAA OCM decided to improve the usability of the data by contracting out the re-classification of the lidar las files and accordingly, the re-creation of the DEM img files. The reclassification of the las files and creation of new DEM img files was done by Tetra Tech in August 2017. 2018-03-09T00:00:00 Office for Coastal Management processor Tetra Tech took delivery of the data from NOAA and began review on 29 August 2017. The data was initially reviewed for completeness using LP360 and ArcMap 10.2. Some gaps were found in the data and these were reported to NOAA. The LiDAR was then run through an initial classification, where Classes 3, 4, and 5 (Vegetation) were classed to Class 1 (Unclassified). Extraneous classes beyond the classification scheme were also identified and moved to an appropriate class. The LiDAR data was then run through a step designed to add to, and improve the Class 2 – Ground classified points, as well as provide improvement in the building class (Class 6). 5 foot DEMs were then created using LP360. These DEMs were reviewed for quality, and this review was used to correct the classification in the LAS point cloud, where needed. Final 5 foot DEMs were then created in LP360. 2017-08-29T00:00:00 The NOAA Office for Coastal Management (OCM) received 1798 topographic DEM files in img format from Tetra Tech. The data remained in the Florida State Plane East Zone 0901, NAD83 HARN coordinates, orthometric (NAVD88) elevations in US feet and a 5 ft grid spacing. NOAA OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. Converted the raster files from img format to Cloud Optimized Geotiff format 2023-07-03T00:00:00 Office for Coastal Management processor Originator