gov.noaa.nmfs.inport:55935 eng UTF8 dataset Elevation Office for Coastal Management 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 2026-09-30T19:34:53 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2013 Lidar: St. Johns County, FL fl2013_st_johns_m8698_metadata 2014-11-19 publication NOAA/NMFS/EDM 55935 https://www.fisheries.noaa.gov/inport/item/55935 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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8698/supplemental/MTS_Report_St_Johns_County_Contour_2013.pdf WWW:LINK-1.0-http--link Dataset report Link to data set report. 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 St. Johns County, Florida (County) has developed a comprehensive countywide base mapping and GIS enhancements to support master drainage planning, transportation planning, and preliminary engineering and wetland preservation studies. As part of this effort, Woolpert was contracted by Jones, Edmunds & Associates (JEA) to develop the new imagery and new DTM. The project consists of new 6-inch 4-Band Orthoimagery, new 1-meter max LiDAR, new 1-foot contours, updating of topographic/planimetric features. This data set is one component of a digital terrain model (DTM) for St. Johns County. The dataset is comprised of mass points, 2-D and 3-D breakline features, 1-foot and 2-foot contours, ground control, vertical test points, and a footprint of the data set, in the ESRI ArcGIS File Geodatabase format. In accordance with the counties specifications, the following breakline features are contained within the database: closed water bodies (lakes, reservoirs, etc) as 3-D polygons; linear hydrographic features (streams, shorelines, canals, swales, embankments, etc) as 3-D breaklines; coastal shorelines as 3-D linear features; edge of pavement road features as 3-D breaklines; soft features (ridges, valleys, etc.) as 3-D breaklines; island features as 3-D polygons; concretedam, culvert, footprint, lowconfidence, lowconfidenceanno, overpass, pipe, roadcenterlineoverbridge and swamppoint as 2-D features. Contours were generated from LiDAR ground class and breaklines and meet National Map Accuracy Standards. The LiDAR masspoints are delivered in the LAS file format based on the Florida statewide 5,000' by 5,000' grid. The GEOID model used to reduce satellite derived elevations to orthometric height is GEOID12A. Breakline features were captured to develop a hydrologically correct DTM. The coastalshoreline has a constant value of -0.6’ that was statistically derived from the LiDAR point cloud collected within the 2-hour window of MLL tide. 2008 Hydrographic and soft features were used to supplement the 2013 breaklines in Low Confidence areas. The NOAA Office for Coastal Management (OCM) received the lidar point data from St. Johns County GIS in March 2018 and processed the data to be available for download from the Data Access Viewer (DAV) and via https . OCM noted that many points that fall on buildings, bridge decks, light poles, cell phone towers, are classified as 5 - high vegetation. In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record. Planimetric and breakline data 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. The DTM was created to support the development and maintenance of the St. Johns County Countywide Digital Contour Mapping Project. The project includes 6-inch color and IR countywide imagery. Breaklines improve the digital elevation model in areas where the point density is insufficient. St. Johns County GIS Division 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 unknown https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8698/supplemental/fl2013_st_johns_m8698.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 23.3 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > FLORIDA VERTICAL LOCATION > LAND SURFACE place Global Change Master Directory (GCMD) Location Keywords 23.3 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 23.3 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 23.3 beach erosion theme 2013 January temporal DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2026. GCMD Keywords, Version 24. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Lidar project InPort otherRestrictions Cite As: Office for Coastal Management, [Date of Access]: 2013 Lidar: St. Johns County, FL [Data Date Range], https://www.fisheries.noaa.gov/inport/item/55935. 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. otherRestrictions Distribution Liability: The St. Johns County GIS Division provides this data "as is" and makes no warranties, expressed or implied, concerning the accuracy, completeness, reliability, or suitability of this data for any particular use or purpose. St. Johns County assumes no liability whatsoever associated with the use or misuse of such data. Any conclusions drawn from the analysis of this information are not the responsibility of St. Johns County, NOAA, the Office for Coastal Management or its partners. unclassified eng; US elevation Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1 -81.700529 -81.192498 29.613391 30.261275 | Currentness: Ground Condition 2013-01-11 | Currentness: Ground Condition 2013-01-12 | Currentness: Ground Condition 2013-01-14 | Currentness: Ground Condition 2013-01-17 | Currentness: Ground Condition 2013-01-20 | Currentness: Ground Condition 2013-01-22 | Currentness: Ground Condition 2013-01-25 Project Title: ST. JOHNS COUNTY, FL Vendor Name: Woolpert, Inc. LAS/LAZ - LASer Zip 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=8698 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8698/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. download dataset Horizontal Positional Accuracy Compiled to meet 1.2 feet (0.37 m) horizontal accuracy at 95% confidence level as defined by the FGDC Geospatial Positional Accuracy Standards, Part 3: NSSDA. LiDAR system calibration is available in the MTS Report of Specific Purpose Survey. Vertical Positional Accuracy Vertical accuracy of the bare earth lidar is +/- 0.23-foot (7 cm) RMSE for unobscured ground points. The accuracy assessment was performed using a standard method to compute the root mean square error (RMSE) based on a TIN comparison of ground control points and filtered LiDAR data points. Filtered LiDAR data has had vegetation and cultural features removed and by analysis represents bare earth elevations. RMSE was used to compute the vertical accuracy based on methods described by the National Standard for Spatial Data Accuracy (NSSDA). The accuracy assessment was performed using a standard method to compute the root mean square error (RMSE) based on a comparison of ground control points and filtered LiDAR data points. Completeness Report This LiDAR data represents the complete set of data for St. Johns County. Conceptual Consistency All formatted data are validated using commercial GIS software to ensure proper formatting and loading prior to delivery. Airborne terrestrial LiDAR was collected for St. Johns County, FL. The LiDAR system acquisition parameters were developed based on a maximum average ground sample distance of 3.23 feet. A Leica ALS70 LiDAR sensor was used for acquisition. Acquisition specifications for the sensor were as follows: Field of View (full angle) - 40 degrees, Nominal flight altitude (AGL) - 6500 feet, Airspeed - 172 mph (150 knots), Laser pulse rate - 270,000 Hz, Nominal swath width (on ground) - 4732 feet, Maximum cross track point spacing - 2.98 feet, Maximum along track point spacing - 3.01 feet, Average point spacing - 3.28 feet, Flight line spacing - 3314 feet, Side overlap - 29.3 percent. Prior to the LiDAR acquisition, the system underwent a system calibration to verify the operational accuracy and misalignment angles. LiDAR data acquisition only occurred when the sky was sufficiently clear of clouds, smoke, and atmospheric haze. The LiDAR data was processed immediately following the acquisition to verify the coverage had no voids. The GPS and IMU data was post processed using differential and kalman filter algorithms to derive a smoothed best estimate of trajectory. The quality of the solution was verified to be consistent with the accuracy requirements of the project. The ground control system to support the LiDAR survey consisted of 24 control points surveyed specifically for this project. The LiDAR data was post processed and verified to be consistent with the project requirements in terms of post spacing and absence of artifacts. The point cloud underwent classification to determine bare-earth points (class 2), low vegetation points (class 3), medium vegetation points (class 4), high vegetation points (class 5), building points (class 6) noise points (class 7), water returns (class 9), breakline proximity points (class 10), bridge points (class 13, canopy/covered walkway points (class 14) and unclassified data (class 1). The NOAA Office for Coastal Management (OCM) received the data from the St. Johns County, Florida GIS Department. The data were in Florida State Plane East NAD83 (HARN) coordinates (US survey feet) and NAVD88 (Geoid12A) elevations in US survey feet. The data were classified as: 1 - Unclassified, 2 - Ground, 3 - Low vegetation, 4 - Medium vegetation, 5 - High vegetation, 6 - Buildings, 7 - Low Noise, 9 - Water,13 - Bridges, 14 - Canopy/covered walkway. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 3, 4, 5, 6, 7, 9, 13, 14. OCM noted that many points that fall on buildings, bridge decks, light poles, cell phone towers, are classified as 5 - high vegetation. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. The LAStools software scripts lasinfo and lasvalidate were run on the laz files to check for errors. 2. The LAStools software script laszip was run on the las files to convert them to laz format. 3. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 4. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12A model, to convert from Florida State Plane East coordinates in feet to geographic coordinates, to convert from vertical units of feet to meters, to assign the geokeys, to sort the data by gps time and zip the data to database and to http. 2019-03-25T00:00:00 Office for Coastal Management processor