gov.noaa.nmfs.inport:62808 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) point 28215414642 NAD83(HARN) / UTM zone 17N2008-11-12publicationEuropean Petroleum Survey Grouphttps://apps.epsg.org/api/v1/CoordRefSystem/3747/export/?format=gmlurn:ogc:def:crs:EPSG:37476.18.3 2015 SRWMD Lidar: North Central Florida fl2015_srwmd_n_cent_m9172_metadata 2015 creation publication NOAA/NMFS/EDM 62808 https://www.fisheries.noaa.gov/inport/item/62808 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9172/breaklines/ WWW:LINK-1.0-http--link Breaklines Link to data set breaklines. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9172/supplemental/BAA_Suwannee_Gaps_LiDAR_Project_Report.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 This data set consists of Classified LiDAR point data and extends to a 100 meter buffer around SRWMD LiDAR Gaps in North Central FL BAA-FY15 boundary, approximately 2030 Square Miles. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Each file represents a separate swath of LiDAR. Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off How the Withheld Points are Identified: Withheld (ignore) points were identified in the files using the standard LAS Withheld bit. Class Code:1 Class Item:Undetermined/Unclassified Class Code:2 Class Item:Bare Earth Class Code:7 Class Item:Low Noise Class Code:9 Class Item:Water Class Code:10 Class Item:Ignored Ground Class Code:17 Class Item:Bridges Class Code:18 Class Item:High Noise The NOAA Office for Coastal Management (OCM) downloaded the laz files from this USGS site ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_FL_SRWMD_NorthCentral_2015_LAS_2017 and processed the data to the Data Access Viewer (DAV) and to https. The total number of files downloaded and processed was 2975. The hydro breaklines were also downloaded and are available 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. 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. The USGS/NGTOC contracted Digital Aerial Solutions, LLC to obtain professional services related to the planning,acquisition and development of Light Detection and Ranging (Lidar) data and derivative products. The task order is for a QL2 Lidar survey to be collected over Baker, Columbia, Dixie, Gilchrist, Hamilton, Jefferson, Lafayette, Levy, Madison, Taylor, and Union Counties in Florida. The deliverable products would be used by the USGS/NGTOC for conservation planning, design, research, floodplain mapping, wetlands identification, dam safety assessments, hydrologic modeling, and other environmental purposes. SRWMD, USGS, Digital Aerial Solutions, LLC The custom download may be cited as National Oceanic and Atmospheric Administration (NOAA) Digital Coast Data Access Viewer. Charleston, SC: NOAA Office for Coastal Management. Accessed 2026-03-26 at https://coast.noaa.gov/dataviewer. 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/geoid18/9172/supplemental/fl2015_srwmd_m9172.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA 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 Intensity Image erosion theme Continent > North America > United States Of America > Florida > Baker County Continent > North America > United States Of America > Florida > Columbia County Continent > North America > United States Of America > Florida > Dixie County Continent > North America > United States Of America > Florida > Gilchrist County Continent > North America > United States Of America > Florida > Hamilton County Continent > North America > United States Of America > Florida > Jefferson County Continent > North America > United States Of America > Florida > Lafayette County Continent > North America > United States Of America > Florida > Levy County Continent > North America > United States Of America > Florida > Madison County Continent > North America > United States Of America > Florida > Taylor County Continent > North America > United States Of America > Florida > Union County place Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-03-26 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2015 SRWMD Lidar: North Central Florida [Data Date Range], https://www.fisheries.noaa.gov/inport/item/62808. 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 This data set was compiled dynamically. It will be removed 10 days after 2026-03-26 from the NOAA system. Access Constraints: No restrictions apply to this data the data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of the data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose. otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-03-26 from the NOAA system. Use Constraints: None, however, users should be aware that temporal changes may have occurred since this data set was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of the limitations of the data. Acknowledgment of the US Geological Survey would be appreciated for products derived from these data. The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of the data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose. otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-03-26 from the NOAA system. Distribution Liability: The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management, or its partners. unclassified 2015 SRWMD Lidar DEM: North Central Florida NOAA/NMFS/EDM 62877 crossReference NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 62808 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/62808.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference vector eng; US elevation Inertial Explorer ver: 8.6; Leica CloudPro Ver:1.2.1; GeoCue Ver: 2014.1.21.4; Microstation V8i; Terresolid ver: 2015; LP360 ver: 2014.1.51.1; Arcmap ver: 10.4; Global Mapper ver: 16 -83.83111 -82.295177 29.136186 30.661306 | Currentness: Ground Condition 2015-12-10 2016-01-14 All Lidar data and associated products were acquired, calibrated, and used in the creation of Lidar derived products by Digital Aerial Solutions, LLC. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "USGS-NGP Base Lidar Specification v1.2 ", "ldrsens" : "Leica ALS80-HP ", "ldrmaxnr" : "Unlimited ", "ldrnps" : "0.7 ", "ldrdens" : "4.0 ", "ldranps" : "0.71 ", "ldradens" : "2.0 ", "ldrfltht" : "1600 ", "ldrfltsp" : "120 ", "ldrscana" : "40 ", "ldrscanr" : "44.9 ", "ldrpulsr" : "335.2 ", "ldrpulsd" : "4 ", "ldrpulsw" : "0.46 ", "ldrwavel" : "1064 ", "ldrmpia" : "1 ", "ldrbmdiv" : "0.15 ", "ldrswatw" : "1165 ", "ldrswato" : "20 ", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid 12B " }, "ldraccur" : { "ldrchacc" : "0.643 ", "rawnva" : "0.432 ", "rawnvan" : "95 ", "clsnva" : "0.429 ", "clsnvan" : "95 ", "clsvva" : "0.941 ", "clsvvan" : "74 " }, "lasinfo" : { "lasver" : "1.4 ", "lasprf" : "6 ", "laswheld" : "Withheld (ignore) points were identified in the files using the standard LAS Withheld bit. ", "lasolap" : "Swath overage points were identified in these files using the standard LAS overlap bit. ", "lasintr" : "16 ", "lasclass" : { "clascode" : "1", "clasitem" : "Undetermined/Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare earth" }, "lasclass" : { "clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "10", "clasitem" : "Ignored Ground" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridges" }, "lasclass" : { "clascode" : "18", "clasitem" : "High Noise" } }} false eng false LiDAR Tiles and associated derived products for SRWMD LiDAR Gaps in North Central FL BAA-FY15 Zip Zip 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=9172/details/9172 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. Change to an orthometric vertical datum is one of the many options. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9172/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. They will be in an orthometric datum. download dataset Horizontal Positional Accuracy Horizontal error in lidar derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these parameters. As described in Section 7.5 of the ASPRS Positional Accuracy Standards for Digital Geospatial Data the horizontal errors in lidar data are largely a function of GNSS positional error, INS angular error, and flying altitude. Therefore lidar data collected with GNSS error of 0.05m and the IMU error of 0.03492 degrees at an altitude of 10,500 feet MSL; the expected radial horizontal positional error will be RMSEr = 0.367 US Survey Ft (11.2 cm). Vertical Positional Accuracy Vertical Accuracy of the bare-earth lidar data was assessed and reported in accordance with the ASPRS Positional Accuracy Standards for Digital Geospatial Data; One hundred and sixty-nine (169) surveyed points were measured for the purpose of assessing the accuracy of the SRWMD LiDAR Gaps in North Central FL BAA-FY15 (95 NVA + 74 VVA). Both data sets, Lidar and Digital Elevation Models (DEMs) have been tested for their individual vertical accuracy levels. The Lidar was tested by using interpolation while the DEMs where tested by extracting the elevation of a pixel containing the checkpoint. All DEM Vertical accuracy results are reported in the DEM Metadata reports while this project wide Metadata file is reporting the vertical accuracy results from the the source Lidar. Required Vegetated Vertical Accuracy (VVA): 0.965 US Survey Ft. Required Non Vegetated Vertical Accuracy (NVA) : 0.643 US Survey Ft. This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.328 US Survey Ft RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 0.219 US Survey Ft (6.8 cm) equating to +/-0.429 US Survey Ft (13.1 cm ) at 95% confidence level. Completeness Report The raw LAS data files included all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Fundamental Vertical Accuracy specifications.Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. Conceptual Consistency Aerial LiDAR data covers the entire 2910 square mile Area of Interest intended for this project task. All LiDAR Point Cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. Data cover the entire area specified for this project. Aerial LiDAR Acquisition: Aerial data collection was acquired, in Twelve (12) missions, using the Leica ALS80 SN# 8235 at an altitude of 6,100 feet MSL. This was to support a 4.0 ppm^2 LiDAR point cloud. Airborne GPS and IMU data was collected during the acquisition and supported by Leica GS15 & GPS 1200 base stations that occupied temporary monuments in conjunction with CORS stations, Data acquisition started December 10, 2015 and was complete January 14, 2016. Ground Control Survey: A survey was performed to support the acquisition of Light Detection and Ranging (LiDAR). The control network involved a total of 169 check points (95 NVA + 74 VVA). The points were a combination of the following ground cover classification: Bare Earth, Pavement, Sand, High Vegetation, Medium Vegetation, Low Vegetation. All field survey observations were conducted between August 10, 2015 and August 14, 2015 with Leica GPS 1200 equipment. 2016-01-18T00:00:00 LiDAR Pre-processing: Airborne GPS and IMU data were merged to develop a Smooth Best Estimate of Trajectory (SBET) of the LiDAR system for each mission. LiDAR ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This process was repeated interactively until residual errors between overlapping swaths, across all project lifts, was reduced to 2 cm or less. Raw data NVA were checked using surveyed check points. 2016-02-22T00:00:00 RAW Data Processing: The Initial processing of the GPS data was processed using Inertial Explorer producing a solution file for each mission. Leica CloudPro software was then used to generate georeferenced laser returns into LAS 1.2 file format for each flight-line per each mission, this went through an initial Quality Control of the overlap between the flight-line swaths. 2016-02-29T00:00:00 LiDAR Post-processing: The calibrated and controlled LiDAR swaths were processed using automatic point classification routines in TerraSolid software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced LiDAR analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project. All classification tags are stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project are calculated. Sample areas for each land cover type present in the project were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified LiDAR swath files were delivered to the client. 2016-02-21T00:00:00 LiDAR Classification: The calibrated LiDAR data went through automated classification routines and then manually edited and checked. The LiDAR point cloud data was classified into the following classes: 1-unclassified*, 2-ground, 7-low noise, 9-water, 10-buffer, 17-bridges, and 18-high noise 2016-01-08T00:00:00 The NOAA Office for Coastal Management (OCM) downloaded the laz files from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_FL_SRWMD_NorthCentral_2015_LAS_2017 These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 2975. The data were in FL State Plane North (0903), (NAD83 HARN), US Survey Feet coordinates and NAVD88 (Geoid12B) elevations in feet. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 17 - Bridge Decks, 18 - High Noise. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 10, 17, 18. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid12B model, to convert from FL State Plane North (0903) (NAD83 HARN) coordinates in US Survey 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. 2020-08-18T00:00:00 Office for Coastal Management processor NOAA OCM received a single las file from the SRWMD that filled a gap in the data. This data was received and processed to the DAV in Sept 2020. The data were in FL State Plane North (0903), (NAD83 HARN), US Survey Feet coordinates and NAVD88 (Geoid12B) elevations in feet. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 17 - Bridge Decks, 18 - High Noise. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 10, 17, 18. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid12B model, to convert from FL State Plane North (0903) (NAD83 HARN) coordinates in US Survey 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. 2020-09-21T00:00:00 Office for Coastal Management processor Source Contribution: This data source was used (along with the airborne GPS/IMU Data) to georeferencing of the lidar point cloud data used to create all contracted Lidar derived products. Version of the LAS Standard 1.4 / point data record format 6. 1200 SRWMD LiDAR Gaps in North Central FL BAA-FY15 Digital Aerial Solutions, LLC originator 2016-01-18 2016-06-29 The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2026-03-26NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor