gov.noaa.nmfs.inport:48210 eng UTF8 dataset 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 2026-04-30T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2008 Northwest Florida Water Management District (NWFWMD) LiDAR: Inland Okaloosa County nwfwmd2008_okaloosa_m85_metadata 2008-07-10 publication NOAA/NMFS/EDM 48210 https://www.fisheries.noaa.gov/inport/item/48210 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 Citation URL Online Resource download https://coast.noaa.gov/dataviewer WWW:LINK-1.0-http--link Citation URL Online Resource download This Light Detection and Ranging (LiDAR) LAS dataset is a survey of inland Okaloosa County, Florida not covered in the 2008 Florida Department of Emergency Management LiDAR initiative. The project area consists of approximately 874 square miles, including a buffer of approximately 50 feet along the edges of the project. The project design of the LiDAR data acquisition was developed to support a nominal post spacing of 4.9 feet or 1.5 meters for un-obscured areas. Fugro EarthData, Inc. acquired 49 flight lines in three lifts on February 10, 2008. The data was divided into 5000' by 5000' foot cells that serve as the tiling scheme. LiDAR data collection was performed with a Cessna 310 aircraft, utilizing a Leica ALS50-II MPiA sensor, collecting multiple return x, y, and z data as well as intensity data. LiDAR data was processed to achieve a bare ground surface. LIDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser range finding, GPS positioning and inertial measurement technologies, LIDAR instruments are able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation. This data of inland Okaloosa County, Florida, was collected at sufficient resolution to provide a nominal point spacing of 1.5m for collected points. Up to 5 returns were recorded for each pulse in addition to an intensity value. Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov The mission of the Office for Coastal Management is to support the environmental, social, and economic well being of the coast by linking people, information, and technology. The mission of the Northwest Florida Water Management District (NWFWMD) is to protect and manage the water resources of northwest Florida in a sustainable manner for the continued welfare of its residents and natural systems. These LiDAR data are intended to support the local Coastal Zone Managers in their decision-making processes. This data will be used for flood plain mapping and other coastal management applications. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM) and the Northwest Florida Water Management District (NWFWMD) 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 EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY 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 place Global Change Master Directory (GCMD) Location Keywords 23.3 Bare Earth Surface Terrain theme 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]: 2008 Northwest Florida Water Management District (NWFWMD) LiDAR: Inland Okaloosa County [Data Date Range], https://www.fisheries.noaa.gov/inport/item/48210. 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: Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. unclassified vector eng; US elevation Microsoft Windows 2000 Version 5.0 (Build 2195) Service Pack 4; ESRI ArcCatalog 9.0.0.535 -86.807 -86.371 30.373 31.01 | Currentness: Ground Condition 2008-02-10 For more information about this data set, please refer to the survey report at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/85/supplemental The information in this report is the result of LiDAR surveys performed on the date indicated and the general conditions at the time of flight. 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=85 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/85/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Accuracy The boresight of the LiDAR was processed against the ground control for this project which consisted of 20 LiDAR ground survey points and 1 ABGPS base station at the operation airport. An additional 20 QA/QC points were used by the mapping vendor for internal checks. The horizontal datum for the control was the North American Datum of 1983, NSRS 2007 (NAD83 2007). The vertical datum was the North American Vertical Datum of 1988 (NAVD88). The Geoid 2003 model was used to transform the ellipsoidal heights to GPS derived orthometric heights. Airborne GPS data was collected during the acquisition mission for each flight line. During the data acquisition the Positional Dilution of Precision (PDOP) for the airborne GPS (ABGPS) was monitored and held at or below 3.5 when possible. The control points were measured by technicians using Terrascan and proprietary software and applied to the boresight solution for the project lines. An independent check of the accuracy of the bare earth LiDAR product was conducted using land cover quality control points. Horizontal Positional Accuracy The minimum expected horizontal accuracy was tested to meet or exceed the National Standard for Spatial Data Accuracy (NSSDA). Horizontal accuracy is 1 meter RMSE or better at the 95% confidence level. Vertical Positional Accuracy Tested 6.1 cm RMSE for unobstructed terrain. Completeness Measure Cloud Cover: 0 Completeness Report The following methods are used to assure LiDAR: 1. Use of IMU and ground control network utilizing GPS techniques. 2. Use of airborne GPS in conjunction with the acquisition of LiDAR. 3. Measurement of quality control ground survey points within the finished product. The following software is used for the validation: 1. Terrascan 2. EarthData Proprietary Software Conceptual Consistency Compliance with the accuracy standard was ensured by the collection of GPS ground control after the acquisition of aerial LiDAR and the establishment of a GPS base station at the Destin-Fort Walton Beach Airport. The following checks were performed. 1. The ground control and airborne GPS data stream were validated through a fully analytical boresight adjustment. 2. The DTM (Digital Terrain Model) data were checked against the project control. 3. LiDAR elevation data was validated through an inspection of edge matching and visual inspection for quality (artifact removal). The airborne GPS data were processed and integrated with the IMU. The results were imported into the processing system for use in the LiDAR boresight. The raw LiDAR data was downloaded onto a production server. The ground control and airport GPS base station were used in conjunction with the processed ABGPS results for the LiDAR boresight. The properly formatted processing results were used for subsequent processing. 2008-03-14T00:00:00 EarthData has developed a unique method for processing LiDAR data to identify and remove elevation points falling on vegetation, buildings, and other aboveground structures. The algorithms for filtering data were utilized within EarthData's proprietary software and commercial software written by TerraSolid. This software suite of tools provides efficient processing for small to large-scale, projects and has been incorporated into ISO 9001 compliant production work flows. The following is a step-by-step breakdown of the process. 1. Using the LiDAR data set provided by EarthData Aviation, the technician performs calibrations on the data set. 2. The technician performed a visual inspection of the data to verify that the flight lines overlap correctly. The technician also verified that there were no voids, and that the data covered the project limits. The technician then selected a series of areas from the data set and inspected them where adjacent flight lines overlapped. These overlapping areas were merged and a process which utilizes 3-D Analyst and EarthData's proprietary software was run to detect and color code the differences in elevation values and profiles. The technician reviewed these plots and located the areas that contained systematic errors or distortions that were introduced by the LiDAR sensor. 3. Systematic distortions highlighted in step 2 were removed and the data was re-inspected. Corrections and adjustments can involve the application of angular deflection or compensation for curvature of the ground surface that can be introduced by crossing from one type of land cover to another. 4. The LiDAR data for each flight line was trimmed in batch for the removal of the overlap areas between flight lines. The data was checked against a control network to ensure that vertical requirements were maintained. Conversion to the client-specified datum and projections were then completed. The LiDAR flight line data sets were then segmented into adjoining tiles for batch processing and data management. 5. The initial batch-processing run removed 95% of points falling on vegetation. The algorithm also removed the points that fell on the edge of hard features such as structures, elevated roadways and bridges. 6. The operator interactively processed the data using LiDAR editing tools. During this final phase the operator generated a TIN based on a desired thematic layer to evaluate the automated classification performed in step 5. This allowed the operator to quickly re-classify points from one layer to another and recreate the TIN surface to see the effects of edits. Geo-referenced images were toggled on or off to aid the operator in identifying problem areas. The data was also examined with an automated profiling tool to aid the operator in the reclassification. 7. The point cloud data were delivered in LAS 1.1 format. 9 - points in water, 2 - ground points, and 1 - all other. 2008-07-16T00:00:00 The LiDAR ground points created in Process Step 2 were loaded into a Terrascan project. The export lattice model function in Terrascan was then used to create and output the LiDAR DEM grid to the Arc ASCII Raster format. As a final step, the Arc ASCII Raster format grid tiles were converted to ESRI Grid format using an Arc command. 2008-07-16T00:00:00 The NOAA Office for Coastal Management (OCM) received files in LAS format. The files contained LiDAR intensity and elevation measurements. OCM performed the following processing on the data to make it available within the LiDAR Data Retrieval Tool (LDART): 1. The LAS files were converted from UTM coordinates to geographic coordinates. 2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid 03. 3. The LAS header fields were sorted by latitude and updated. 4. The data was filtered to eliminate outliers. 2008-07-21T00:00:00 Source Contribution: EarthData International, Inc. collected ALS-50-derived LiDAR over Okaloosa County, Florida with a 1.5m, nominal post spacing using a Cessna 310 aircraft. The collection for the entire project area was accomplished in one day on February 10, 2008. The collection was performed by EarthData International, Inc., using a Leica ALS50-II MPiA LiDAR system, serial number ALS039, including an inertial measuring unit (IMU) and a dual frequency GPS receiver. This project required 3 lifts of flight lines to be collected. The lines were flown at an average of 6,000 feet above mean terrain using a pulse rate of 122,500 pulses per second. | Type of Source Media: External hard drive 1200 2008 Florida LiDAR: Inland Okaloosa County 2008-07-10 publication 2008-02-10 otherRestrictions otherRestrictions Access Constraints: None | Use Constraints: None