gov.noaa.nmfs.inport:48375 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) 3 row 1250 column 1250 vertical 1 point 0 2011 Georgia Lidar DEM: Burke Richmond Lincoln Columbia Counties ga2011_fourcounty_DEM_m5188 2016-11-07 publication NOAA/NMFS/EDM 48375 https://www.fisheries.noaa.gov/inport/item/48375 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/geoid12a/1389/supplemental/4GACountiesofElevation_NOAA_Final_Report_Jun2012.pdf WWW:LINK-1.0-http--link Citation URL Link to the data set report. download https://coast.noaa.gov/dataviewer WWW:LINK-1.0-http--link Citation URL Online Resource download imageDigital TASK NAME:4 GA Counties of Elevation Data NOAA Contract No. EA133C11CQ0010 Requisition No. NCNP0000-11-02615 Woolpert Order No. 71511 CONTRACTOR: Woolpert, Inc. LiDAR data is a remotely sensed high resolution elevation data collected by an airborne platform. The LiDAR sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The LiDAR systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 1.0 meter. The final products include full classified LAS, hydrologically flattened four (4) foot pixel raster DEM's of the bare earth surface in ESRI Floating Point Grid Format (ArcGRID DEMs), and hydrologically flattened breaklines. Rasters were later convert to GeoTIFF format with vertical units of feet. Original contact information: Contact Org: National Oceanic and Atmospheric Administration (NOAA) Title: Coastal Services Center Phone: (843) 740-1200 This task order consisted of LiDAR data acquisition and processing for the National Oceanic and Atmospheric Administration's (NOAA) Coastal Services Center (CSC). The area of interest for this task order are four Counties in Georgia; Burke, Columbia, Lincoln and Richmond. The LiDAR data acquisition and processing for Burke, Lincoln and Richmond County was performed in the Winter of 2011. The LiDAR data acquisition and processing for Columbia County was performed under a separate contract in the Spring of 2011. The LiDAR data was provided to NOAA CSC, as part of the 4 GA Counties of Elevation Data task order. The 4 GA Counties of Elevation Data task order AOI encompasses approximately 1739 square miles. The area of interest acquired and processed for Columbia County is approximately 353 square miles. The task order requires the LiDAR data to be collected at a nominal pulse spacing (NPS) of 1.0 meter. The LiDAR data was collected to meet Fundamental Vertical Accuracy (FVA) Root Mean Square Error (RMSE) of 18.0 cm or better at a 95% confidence level, so that when combined with breaklines, the data adequately supports the generation of two (2) foot FEMA compliant contours. The final LiDAR data was delivered in 5,000' x 5,000' tiles using North American Datum 1983, Georgia State Plane Coordinate System, East Zone, and expressed in US Survey Feet. 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/geoid12a/1389/supplemental/2011_GADNR_Burke_Columbia_Lincoln_Richmond_Counties_Lidar.kmz Link to the data set footprint. EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 23.3 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > GEORGIA place Global Change Master Directory (GCMD) Location Keywords 23.3 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 DEMs project InPort 2018-05-04T00:00:00 The hydroflattening appears faulty, at least for part of the data set. It appears as if void (such as lakes) were interpolated with a spline that extrapolated, causing pits and hills that don't really exist. Waters, Kirk user otherRestrictions Cite As: Office for Coastal Management, [Date of Access]: 2011 Georgia Lidar DEM: Burke Richmond Lincoln Columbia Counties [Data Date Range], https://www.fisheries.noaa.gov/inport/item/48375. 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: No restrictions apply to this data. otherRestrictions Use Constraints: None. However, users should be aware that temporal changes may have occurred since this dataset 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 it's limitations. Acknowledgment of the Georgia Department of Natural Resources would be appreciated for products derived from these data. Acknowledgment of the NOAA Digital Coast for data distribution would also be appreciated. otherRestrictions Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of Woolpert, Georgia DNR, the NOAA Office for Coastal Management, or their partners. unclassified grid eng; US elevation -82.641278 -81.540949 32.797092 33.982767 | Currentness: Ground Condition 2011-02-26 NOAA Contract No. EA133C11CQ0010 Requisition No. NCNP0000-11-02615 Woolpert Order No. 71511 CONTRACTOR: Woolpert, Inc. The reflective surface data represents the DEM created by the laser energy reflected from the first surface encountered by the laser pulse. Some energy may continue beyond this initial surface, to be reflected by a subsequent surface as represented by the last return data. Intensity information is captured from the reflective surface pulse and indicates the relative energy returned to the sensor, as compared to the energy transmitted. The intensity image is not calibrated or normalized but indicates differences in energy absorption due to the interaction of the surface materials with laser energy, at the wavelength transmitted by the sensor. The bare earth model is created by identifying the returns that fall on the ground surface and by interpolating a surface between these points. In this manner, buildings and vegetation are removed from the bare earth model. This data set does not include bridges and overpasses in the bare earth model as the delineation point for these structures is not reliably discernible in the LiDAR data. 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=5188 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.us-east-1.amazonaws.com/dem/GA_Burke_Richond_Lincoln_Columbia_2011_DEM_5188/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Accuracy The LiDAR collected for this task order was collected to meet a Fundamental Vertical Accuracy (FVA) of NSSDA RMSEZ = 18cm (NSSDA AccuracyZ 95% = 36cm) or better; assessment procedures to comply with FEMA guidelines. | Quantitative Value: 18 cm RMSE | Quantitative Test Explanation: Points measured will produce an error less than 18.0 cm RMSE. Issues have been noted in the interpolation of lake surfaces. They are supposed to be hydroflattened, but there are lakes that have been extrapolated as either pits or domes. Horizontal Positional Accuracy Horizontal accuracy is +/- 4-foot (1.22 meters) at the 95% confidence level using RMSE(r) x 1.9600 as defined by the FGDC Geospatial Positional Accuracy Standards, Part 3: NSSDA. LiDAR system calibration is available in the project report. Vertical Positional Accuracy The data collected under this Task Order meets the National Standard for Spatial Database Accuracy (NSSDA) accuracy standards. The NSSDA standards specify that vertical accuracy be reported at the 95 percent confidence level for data tested by an independent source of higher accuracy. (http://www.fgdc.gov/standards/projects/FGDC-standards-projects/accuracy/part3/index_html). For Columbia County, the LiDAR data vertical accuracy RMSE is 6.1 cm (0.20 ft). The Fundamental Vertical Accuracy (FVA) of the TIN: 11.96 cm (0.39 ft) at a 95% confidence level, derived according to NSSDA. For Burke, Richmond, and Lincoln Counties, the LiDAR data vertical accuracy RMSE is 5.3 cm (0.175 ft). The Fundamental Vertical Accuracy (FVA) of the TIN: 10.4 cm (0.34 ft) at a 95% confidence level, derived according to NSSDA. Completeness Measure Cloud Cover: 0 Completeness Report The LiDAR data is visually inspected for completeness to ensure that are no gaps between flight lines. Conceptual Consistency All formatted data are validated using commercial GIS software to ensure proper formatting and loading prior to delivery. Using an Optech Gemini LiDAR system, 44 flight lines of high density data, at a nominal pulse spacing (NPS) of 1.0 meter, were collected over Columbia County, GA (approximately 353 square miles). Multiple returns were recorded for each laser pulse along with an intensity value for each return. A total of three (3) missions were flown over a 24 hour period: February 26, 2011. The geoid used to reduce satellite derived elevations to orthometric heights was Geoid09. The horizontal datum used for this survey is North American Datum 1983, Georgia State Plane Coordinate System, East Zone, and expressed in US Survey Feet. The vertical datum used for this survey is North American Vertical Datum 1988 (NAVD88), and expressed in US Survey Feet. Airborne GPS data was differentially processed and integrated with the post processed IMU data to derive a smoothed best estimate of trajectory (SBET). The SBET was used to reduce the LiDAR slant range measurements to a raw reflective surface for each flight line. System Parameters: - Type of Scanner = Optech Gemini - Data Acquisition Height = 5,700-feet AGL - Scanner Field of View = 40 degrees - Scan Frequency = 29.5 Hertz - Pulse Repetition Rate - 100.0 Kilohertz - Aircraft Speed = 130 Knots - Swath Width = 4,149-feet - Number of Returns Per Pulse = Maximum of 4 - Distance Between Flight Lines = 2,701-feet 2011-02-26T00:00:00 The Optech Gemini LiDAR system calibration and performance is verified on a periodic basis using Woolpert's calibration range. The calibration range consists of a large building and runway. The edges of the building and control points along the runway have been located using conventional survey methods. Inertial measurement unit (IMU) misalignment angles and horizontal accuracy are calculated by comparing the position of the building edges between opposing flight lines. The scanner scale factor and vertical accuracy is calculated through comparison of LiDAR data against control points along the runway. Field calibration is performed on all flight lines to refine the IMU misalignment angles. IMU misalignment angles are calculated from the relative displacement of features within the overlap region of adjacent (and opposing) flight lines. The raw LiDAR data is reduced using the refined misalignment angles. 2011-02-26T00:00:00 Once the data acquisition and GPS processing phases are complete, the LiDAR data was processed immediately to verify the coverage had no voids. The GPS and IMU data was post processed using differential and Kalman filter algorithms to derive a best estimate of trajectory. The quality of the solution was verified to be consistent with the accuracy requirements of the project. 2011-03-02T00:00:00 The individual flight lines were inspected to ensure the systematic and residual errors have been identified and removed. Then, the flight lines were compared to adjacent flight lines for any mismatches to obtain a homogeneous coverage throughout the project area. The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" LiDAR returns. This process determined bare-earth points (Class 2), noise (Class 7), water (Class 9) ignored ground (Class 10), unclassified data (Class 1), and overlap points (Class 12). The bare-earth (Class 2 - Ground) LiDAR points underwent a manual QA/QC step to verify that artifacts have been removed from the bare-earth surface. The surveyed ground control points are used to perform the accuracy checks and statistical analysis of the LiDAR dataset. 2011-03-05T00:00:00 Breaklines defining lakes, greater than two acres, and double-line streams, wider than 100 feet (30.5 meters), were compiled using digital photogrammetric techniques as part of the hydrographic flattening process and provided as ESRI Polyline Z and Polygon Z feature classes. Breaklines defining water bodies and streams were compiled for this task order. The breaklines were used to perform the hydrologic flattening of water bodies, and gradient hydrologic flattening of double line streams. Lakes, reservoirs and ponds, at a nominal minimum size of two (2) acres or greater, were compiled as closed polygons. The closed water bodies were collected at a constant elevation. Rivers and streams, at a nominal minimum width of 100 feet (30.5 meters), were compiled in the direction of flow with both sides of the stream maintaining an equal gradient elevation. The hydrologic flattening of the LiDAR data was performed for inclusion in the National Elevation Dataset (NED). 2011-07-20T00:00:00 Data received from Woolpert were converted from ArcGrid to GeoTIFF format using GDAL version 2.1.1 gdal_translate. The conversion of format was done to provide the data in an open format. 2016-11-07T00:00:00 Office for Coastal Management processor Source Contribution: The LiDAR data collected for this task order. | Source Geospatial Form: raster digital data | Type of Source Media: disc 4 GA Counties of Elevation Data 2011-08-31 publication 2011-12-13 otherRestrictions otherRestrictions Access Constraints: None. | Use Constraints: None.