59009 FL_SE_DEM_2018_m9049.xml Data Set Published / External 49404 DEMs - partner (no harvest) Project Completed 2019-06-11 Product: These are Digital Elevation Model (DEM) data for Florida counties of Broward, Collier, Hendry, Miami-Dade, Monroe, and Palm Beach, as part of the required deliverables for the Florida Southeast 2018 Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 0.5 meter hydro-flattened Raster DEM. Geographic Extent: Florida counties of Broward, Collier, Hendry, Miami-Dade, Monroe, and Palm Beach, covering approximately 1,641 square miles. Dataset Description: Florida Southeast 2018 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal projection/datum of NAD83 (2011), Contiguous U.S. Albers Equal Area, meters, and vertical datum of NAVD88 (GEOID12B), meters. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 4,737 individual 1000 m x 1000 m tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 1000 m x 1000 m schema. Ground Conditions: Lidar was collected on June 2, 2018, November 28, 29, 30, and December 6, 7, 12, and 17, 2018, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Dewberry established a total of 20 ground control points that were used to calibrate the lidar to known ground locations established throughout the Broward, Collier, Hendry, Miami-Dade, Monroe, and Palm Beach counties, Florida project area. An additional 125 independent accuracy checkpoints, 69 in Bare Earth and Urban landcovers (69 NVA points), 56 in Tall Grass and Brushland/Low Trees categories (56 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. The project consists of 4,737 tiles but one DEM was not delivered because it is a water only tile. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 0.5 meter cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, hydro-flattened DEMs as necessary. Raster File Type = GeoTiff Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 0.5 Meter Interpolation or Resampling Technique = Triangulated Irregular Network Required Vertical Accuracy = 19.6 cm NVA Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION Theme ISO 19115 Topic Category elevation Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > LAND SURFACE Instrument Global Change Master Directory (GCMD) Instrument Keywords LIDAR > Light Detection and Ranging Platform Global Change Master Directory (GCMD) Platform Keywords Airplane > Airplane Platform Global Change Master Directory (GCMD) Platform Keywords DEM > Digital Elevation Model Theme DEM Office for Coastal Management Charleston SC Data Set Elevation None Planned raster digital data Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners U.S. Geological Survey, USDA Natural Resources Conservation Service, Dewberry Data Steward 2020 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Distributor 2020 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Metadata Contact 2020 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Point of Contact 2020 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Ground Condition -81.12216 -80.062581 26.366456 25.749828 Range 2018-06-02 2018-12-17 .5 Meter Vertical EPSG:5703 NAVD88 height North American Vertical Datum 1988 1 Gravity-related height H metre up Projected EPSG:6350 NAD83(2011) / Conus Albers NAD83 (National Spatial Reference System 2011) GRS 1980 6378137 298.257222101 NAD83(2011) Conus Albers Albers Equal Area Latitude of false origin 23° 0' 0" N Longitude of false origin 96° 0' 0" W Latitude of 1st standard parallel 29° 30' 0" N Longitude of 2nd standard parallel 45° 30' 0" N Easting at false origin 0 metre Northing at false origin 0 metre 1 Easting X metre east 2 Northing Y metre north Unclassified Data is available online for bulk or custom downloads None 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. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9041 2020 Organization NOAA Office for Coastal Management Customized Download Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base. Zip Zip https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/USGS_FL_Southeast_2018_9041/index.html 2020 Organization NOAA Office for Coastal Management Bulk Download Bulk download of data files in the original coordinate system. GeoTIFF GeoTIFF ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/NED/OPR/FL_Southeast_B1_2018/ Source B1 Online Resource zip Source data for part B1. ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/NED/OPR/FL_Southeast_B2_2018/ Source B2 Online Resource zip Source data from USGS for part B2 ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/NED/OPR/FL_Southeast_TL_2018/ Source TL Online Resource zip Source data from USGS for part TL https://coast.noaa.gov/ NOAA's Office for Coastal Management (OCM) website Online Resource HTML Information on the NOAA Office for Coastal Management (OCM) https://coast.noaa.gov/dataviewer/ NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) Online Resource HTML 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. https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/FL_Southeast_2018_D18_SUPPLEMENTAL/FL_Southeast_B1_2018/reports/FL_Southeast_Lidar_Project_Report_20190614%20(updated).pdf Lidar Report Online Resource pdf Link to the Dewberry lidar report. Five checkpoints were determined to be photo-identifiable in the intensity imagery and were used to test the horizontal accuracy of the lidar dataset. As only five (5) checkpoints were photo-identifiable, the results are not statistically significant enough to report as a final tested value. Using NSSDA methodology (endorsed by the ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014)), horizontal accuracy at the 95% confidence level (called ACCURACYr) is computed by the formula RMSEr * 1.7308 or RMSExy * 2.448. This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 41 cm RMSEx/RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 1 meter at a 95% confidence level. Five (5) checkpoints were photo identifiable, but do not produce a statistically significant tested horizontal accuracy value. Using this small sample set of photo-identifiable checkpoints, positional accuracy of this dataset was found to be RMSEx = 20.2 cm and RMSEy = 20.7 cm which equates to +/- 50.0 cm at 95% confidence level. While not statistically significant, the results of the small sample set of checkpoints are within the designated horizontal accuracy. The project specifications require the accuracy (ACCz) of the derived DEM be calculated and reported in two ways: 1. The required NVA is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the "bare earth" and "urban" land cover classes. This is a required accuracy. The NVA was tested with 69 checkpoints located in bare earth and urban (non-vegetated) areas. 2. Vegetated Vertical Accuracy (VVA): VVA shall be reported for "brushlands/low trees" and "tall weeds/crops" land cover classes. The target VVA is: 30 cm at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data, i.e., based on the 95th percentile error in all vegetated land cover classes combined. This is a target accuracy. The VVA was tested with 56 checkpoints located in tall weeds/crops and brushlands/low trees (vegetated) areas. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.Qualitative value:0.080 0.209, Test that produced the value: Tested 8.0 cm (0.26 ft) NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the DEM was calculated using 69 independent checkpoints located in the Bare Earth and Urban land cover categories. Tested 20.9 cm (0.69 ft) VVA was calculated using 56 checkpoints located in the Brushlands and Low Trees and Tall Weeds and Crops land cover categories at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data. Tested against the DEM. Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. Data covers the entire area specified for this project. DEM imagine files from USGS Organization USGS Publisher ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/NED/OPR USGS Rocky FTP download site 1 Hydro Flattened Raster DEM Process: Class 2 (ground) lidar points in conjunction with the 3D breaklines were used to create a 0.5 meter hydro-flattened Raster DEM. Using automated scripting routines within ArcMap, an ERDAS Imagine IMG file was created for each tile. Each surface is reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface. 2019-06-01T00:00:00 2 Imagine files downloaded from USGS were converted to cloud optimized geotiff format for ingest into the Digital Coast Data Access Viewer system. 2020-03-10T00:00:00 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource DEM imagine files from USGS gov.noaa.nmfs.inport:59009 Kirk Waters 2020-03-10T08:09:57 Rebecca Mataosky 2025-09-18T15:24:59 2024-01-10 OCM Partners OCMP 1002 Public No No 2020-03-10 1 Year 2021-03-10