66862 fl2018_pasco_dem_m9459_metadata Data Set Published / External 49404 DEMs - partner (no harvest) Project Completed 2018 2019-08-22 Dewberry collected 1000 square miles of lidar data in Pasco County, Florida. The nominal pulse spacing for this project was 1 point every 0.35 meters or a nominal pulse density of 8 points per square meter. Dewberrry used proprietary procedures to classify the LAS according to project specifications: 1-Unclassified, 2-Ground, 6-Building Rooftops, 7-Low Noise, 9-Water, 17- Bridge Decks, 18-High Noise. Geometrically unreliable points, ground points within 2 feet of breaklines, and ground points within 3 feet of buiding rooftops have been identified with the Withheld Flag. Overage points have been identified with the Overlap Flag. The lidar data were combined with 3D breaklines compiled by Dewberry to create hydro-enforced bare-earth DEMs. The data were tiled according to the Florida Statewide Lidar Index tiling scheme with each tile covering an area of 5,000 feet by 5,000 ft. In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEM data were created from, are also available. These data are available for custom download at the link provided in the URL section of this metadata record. The DEMs model the bare-earth surface and are enforced with the 3D breaklines created for this project. Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL 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 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > FLORIDA 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 Office for Coastal Management Charleston SC Data Set Elevation As Needed Model (digital) Translation of files to formats other than those described here is the sole responsibility of individuals downloading these data. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. Dewberry Data Steward 2022 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 2022 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 2022 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 2022 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 -82.797435 -82.050179 28.487641 28.169041 Range 2018-01-14 2018-01-25 Yes Vertical EPSG:6360 NAVD88 height (ftUS) North American Vertical Datum 1988 1 Gravity-related height H US survey foot up Projected EPSG:6443 NAD83(2011) / Florida West (ftUS) NAD83 (National Spatial Reference System 2011) GRS 1980 6378137 298.257222101 NAD83(2011) SPCS83 Florida West zone (US Survey feet) Transverse Mercator 1 Easting X US survey foot east 2 Northing Y US survey foot north Unclassified Data is available online for bulk and 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=9459/details/9459 2022 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/FL_Pasco_DEM_2018_9459/index.html 2022 Organization NOAA Office for Coastal Management Bulk Download Bulk download of GeoTiff file. GeoTIFF GeoTIFF https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/FL_Pasco_DEM_2018_9459/supplemental/fl2018_pasco_dem_m9459.kmz Browse Graphic Browse Graphic KML Link to the dataset footprint. 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://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10173/details/10173 Custom Point Download Online Resource Zip Link to custom download, from the Data Access Viewer (DAV), the lidar point data from which these raster Digital Elevation Model (DEM) data were created. https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/FL_Pasco_DEM_2018_9459/breaklines/index.html Breaklines Online Resource Zip Link to the dataset breaklines. https://watermatters.sharefile.com/share/view/sec902fcb542046a1abc54e0ebebb1a7e/fob5dde2-e005-423d-87ea-5283cbc7c881 SWFWMD Data Distribution Site Online Resource Zip Link to the Southwest Florida Water Management District (SWFWMD) data distribution site. Microsoft Windows 7 Enterprise Service Pack 1; ESRI ArcCatalog 10.3. The DEMs are derived from the source lidar and 3D breaklines created from the lidar. Horizontal accuracy is not performed on the DEMs or breaklines. Only checkpoints photo-identifiable in the intensity imagery can be used to test the horizontal accuracy of the lidar. Photo-identifiable checkpoints in intensity imagery typically include checkpoints located at the ends of paint stripes on concrete or asphalt surfaces or checkpoints located at 90 degree corners of different reflectivity, e.g. a sidewalk corner adjoining a grass surface. The xy coordinates of checkpoints, as defined in the intensity imagery, are compared to surveyed xy coordinates for each photo-identifiable checkpoint. These differences are used to compute the tested horizontal accuracy of the lidar. As not all projects contain photo-identifiable checkpoints, the horizontal accuracy of the lidar cannot always be tested. Lidar vendors calibrate their lidar systems during installation of the system and then again for every project acquired. Typical calibrations include cross flights that capture features from multiple directions that allow adjustments to be performed so that the captured features are consistent between all swaths and cross flights from all directions. This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 1.35 ft (41 cm) RMSEx/RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 3.28 ft (100 cm) at a 95% confidence level. Eleven (11) 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 Accuracyr (RMSEr X 1.7308) is 0.45 ft (13.72 cm) or RMSEr = 0.26 ft (7.9 cm). While not statistically significant, the results of the small sample set of checkpoints are within the produced to meet horizontal accuracy. The DEMs are derived from the source lidar and 3D breaklines created from the lidar. The DEMs are created using controlled and tested methods to limit the amount of error introduced during DEM production so that any differences identified between the source lidar and final DEMs can be attributed to interpolation differences. DEMs are created by averaging several lidar points within each pixel which may result in slightly different elevation values at a given location when compared to the source LAS, which is tested by comparing survey checkpoints to a triangulated irregular network (TIN) that is created from the lidar ground points. TINs do not average several lidar points together but interpolate (linearly) between two or three points to derive an elevation value. All checkpoints located over well-defined surfaces will be used to compute the Fundamental Vertical Accuracy (FVA) of the lidar data. The vertical accuracy of the lidar was tested by Dewberry with 195 independent survey checkpoints. The survey checkpoints are evenly distributed throughout the project area and are located in areas of non-vegetated terrain (96 checkpoints), including bare earth, open terrain, and urban terrain, and vegetated terrain (99 checkpoints), including forest, brush, tall weeds, crops, and high grass. The vertical accuracy is tested by comparing survey checkpoints to a triangulated irregular network (TIN) that is created from the lidar ground points. Checkpoints are always compared to interpolated surfaces created from the lidar point cloud because it is unlikely that a survey checkpoint will be located at the location of a discrete lidar point. All checkpoints located in non-vegetated terrain were used to compute the Non-vegetated Vertical Accuracy (NVA). Project specifications required a NVA of 0.64 ft (19.6 cm) at the 95% confidence level based on RMSEz (0.33 ft/10 cm) x 1.9600. All checkpoints located in vegetated terrain were used to compute the Vegetated Vertical Accuracy (VVA). Project specifications required a VVA of 0.96 ft (29.4 cm) based on the 95th percentile. This lidar dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.33 ft (10 cm) RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be 0.19 ft (5.79 cm) at 95% confidence level or RMSEz = 0.10 ft (3.05 cm). This lidar dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.33 ft (10 cm) RMSEz Vertical Accuracy Class. Actual VVA accuracy was found to be +/- 0.37 ft (11.28 cm) at the 95th percentile. The 5% outliers consisted of 5 checkpoints that are larger than the 95th percentile. These checkpoints had a DZ value of 1.34 ft (40.84 cm), 0.67 ft (20.42 cm),0.97 ft (29.56 cm), 0.74 ft (22.55 cm) and 0.38 ft (11.58 cm) A visual qualitative assessment was performed to ensure data completeness and bare earth data refinement. No void or missing data. Data covers the project tiling scheme. The NOAA Office for Coastal Management (OCM) downloaded the DEM .img file from the Southwest Florida Water Management District (SWFWMD). 3D Breaklines 2018-03-26 Range 2018-01-14 2018-01-25 2000 The 3D breaklines were used to enforce elevations along hydrographic features, water bodies, islands, and building footprints were used to cause water to flow around buildings in the bare-earth DEMs. Tiled Lidar 2018-03-26 Range 2017-01-31 2017-03-28 2000 Class 2, ground, was used from the tiled lidar to create the bare-earth DEM masspoints. 1 Class 2, ground, lidar points are exported from the LAS files into an Arc Geodatabase (GDB) in multipoint format. The 3D breaklines, water bodies, hydrographic features, and islands are imported into the same GDB. 2D building footprints are buffered by 3 feet and the highest ground elevation within the buffered footprint is applied to the entire footprint. The 3D building footprints are then imported into the same GDB as the multipoints and other 3D breaklines. An ESRI Terrain is generated from these inputs. The surface type of each input is as follows: Ground Multipoint: Masspoints Water bodies: Hard Replace Hydrographic feature : Hard Line Islands : Hard Line Building Footprint: Hard Replace The ESRI Terrain is converted to a raster. The raster is created using linear interpolation with a 2.5 foot cell size. The DEM is reviewed with hillshades in both ArcGIS and Global Mapper. Hillshades allow the analyst to view the DEMs in 3D and to more efficiently locate and identify potential issues. Analysts review the DEM for missed lidar classification issues, incorrect breakline elevations, incorrect hydro-flattening or hydro-enforcement, and artifacts that are introduced during the raster creation process. The corrected and final DEM is clipped to individual tiles. Dewberry uses a proprietary tool that clips the DEM to each tile located within the final Tile Grid, names the clipped DEM to the Tile Grid Cell name, and verifies that final extents are correct. All individual tiles are loaded into Global Mapper for the last review. During this last review, an analsyt checks to ensure full, complete coverage, no issues along tile boundaries, tiles seamlessly edge-match, and that there are no remaining processing artifacts in the dataset. 2018-03-01T00:00:00 2 The NOAA Office for Coastal Management (OCM) downloaded 1 raster DEM file in .img format from the Southwest Florida Water Management District (SWFWMD). The data were in Florida State Plane West NAD83(2011), US survey feet coordinates and NAVD88 (Geoid12B) elevations in feet. The bare earth raster file was at a 2.5 feet grid spacing. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Used internal an script to assign the EPSG codes (Horizontal EPSG: 6443 and Vertical EPSG: 6360) and convert the .img file to GeoTiff format. 2. Copied the file to https. 2022-03-21T00:00:00 Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ 73466 Data Set Cross Reference gov.noaa.nmfs.inport:66862 Rebecca Mataosky 2022-03-21T19:36:38 SysAdmin InPortAdmin 2026-03-04T19:17:17 2024-01-10 OCM Partners OCMP 1002 Public No No 2022-03-21 1 Year 2023-03-21