48181 ga2011_fourcounty_m1389_metadata Data Set Published / External 37231 Lidar Project Completed 2012-09 This data set is the topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements for four counties in Georgia. These counties are: Burke, Columbia, Lincoln, and Richmond. The Statement of Work (SOW) was developed by the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management (referred to as the Center) in partnership with the Georgia Department of Natural Resources (GADNR) Environmental Protection Division (EPD). 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 LiDAR data acquisition and processing for Burke, Lincoln, and Richmond County was performed in the Winter of 2011. The LiDAR data was provided to NOAA OCM, as part of the 4 GA Counties of Elevation Data task order. The 4 GA Counties of Elevation Data task order AOI encompassed approximately 1,739 square miles. The area of interest acquired and processed for Burke, Lincoln, and Richmond County is approximately 1,386 square miles. The task order required 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. For data storage and Digital Coast provisioning purposes, the NOAA OCM converted the data to geographic coordinates and ellipsoid heights in meters. Special Note: Temporal changes of water levels will be observed in any data from Richmond and Lincoln counties overlapping any previously delivered data from Columbia County. 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. The data were collected on the following dates: Burke and Richmond Counties: December 13, 14, 17, 2011 Columbia County February 26, 2011 Lincoln County December 18, 2011 The data contains las points with the following classifications: Class 0 No Classification Class 2 Ground Class 7 Low Point (Noise) Class 9 Water Class 10 Land below sea level Class 12 Overlap Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov The purpose of this data is for use in coastal management decision making, including applications such as flood mapping, hydrologic modeling, risk map analysis, and water rights management. 10204 The Lidar Report for this data set may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1389/supplemental/4GACountiesofElevation_NOAA_Final_Report_Jun2012.pdf A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1389/supplemental/2011_GADNR_Burke_Columbia_Lincoln_Richmond_Counties_Lidar.kmz Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY 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 > GEORGIA Office for Coastal Management Charleston SC Data Set As Needed Any conclusions drawn from the analysis of this information are not the responsibility of the GADNR, the Office for Coastal Management or its partners. 49297 LAS 1.2 Full Class Published / External Completed LAS 1.2 Full Class Files for 4 GA Counties of Elevation Data - Burke, Lincoln and Richmond Counties | Description Source: Woolpert, Inc. Converted from FGDC using 'fgdc_to_inport_xml_entity.pl' script. 1 Tile Numbers Unknown No No Active Grid | Description Source: USGS Coordinates defining the features. 2 LAS 1.2 Unknown No No Active LAS 1.2 Full Class. | Description Source: TerraSolid LTD: Terrascan Coordinates defining the features. 3 LAS Unknown No No Active LAS Full Class | Description Source: TerraSolid LTD: Terrascan Version 010.018 Coordinates defining the features. Data Steward 2012-09 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 2012-09 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 2012-09 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 2012-09 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 -82.641278 -81.540949 33.982767 32.797092 Discrete 2011-02-26 Discrete 2011-12-13 Discrete 2011-12-14 Discrete 2011-12-17 Discrete 2011-12-18 Yes Unclassified Unclassified Unclassified This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1389 The data set is dynamically generated based on user-specified parameters. ; None None, however, users should be aware that temporal changes may have occurred since this data set was collected and that some parts of the data may no longer represent actual surface conditions. Users should not use the data for critical applications without a full awareness of its limitations. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1389 Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1389/index.html Bulk Download Simple download of data files. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1389/supplemental/2011_GADNR_Burke_Columbia_Lincoln_Richmond_Counties_Lidar.kmz Browse Graphic Browse Graphic kmz This graphic shows the lidar coverage for the four Georgia counties in this data set. https://coast.noaa.gov Online Resource https://coast.noaa.gov/dataviewer Online Resource 2016-05-23 Date that the source FGDC record was last modified. 2017-11-14 Converted from FGDC Content Standard for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. 2018-02-08 Partial upload of Positional Accuracy fields only. 2018-03-13 Partial upload to move data access links to Distribution Info. Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; TerraSolid LTD: Terrascan Version 010.018 The LiDAR collected for this task order was collected to meet a Fundamental Vertical Accuracy (FVA) of NSSDA RMSEZ = 18 cm (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. Horizontal accuracy is plus or minus 4 ft (1.21 m) at the 95% confidence level using RMSE(r) x 1.9600 as defined by the FGDC Geospatial Positional Accuracy Standards, Part 3: NSSDA. ; Quantitative Value: 1.21 meters, Test that produced the value: LiDAR system calibration is available in the project report. 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 Burke, Richmond, and Lincoln Counties, the Fundamental Vertical Accuracy (FVA) tested 6 cm (0.197 ft) RMSE at 95% confidence level. For Columbia County, the Fundamental Vertical Accuracy (FVA) tested 5.4 cm (0.179 ft) RMSE at 95% confidence level. Cloud Cover: 0 The LiDAR data is visually inspected for completeness to ensure that are no gaps between flight lines. All formatted data are validated using commercial GIS software to ensure proper formatting and loading prior to delivery. 4 GA Counties of Elevation Data 2011-02-10 Discrete 2011-12-13 The LiDAR data collected for this task order. | Source Geospatial Form: vector digital data | Type of Source Media: disc 1 Using a Leica LiDAR system, 100 flight lines of high density data, at a nominal pulse spacing (NPS) of 1.0 meter, were collected over Burke, Lincoln and Richmond Counties, GA (approximately 1,386 square miles). Multiple returns were recorded for each laser pulse along with an intensity value for each return. A total of six (6) missions were flown on December 13, 14, 17, and 18 in 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 = Leica Data Acquisition Height = 6,500-feet AGL Scanner Field of View = 40 degrees The Scan Frequency = 41.8 Hertz Pulse Repetition Rate - 115.6 Kilohertz Aircraft Speed = 130 Knots Swath Width = 4,732-feet Number of Returns Per Pulse = Maximum of 4 Distance Between Flight Lines = 3,289-feet 2011-12-13T00:00:00 2 The Leica ALS50/60 LiDAR systems 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. 2011-12-13T00:00:00 3 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 task order. 2011-12-18T00:00:00 4 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 homogenous 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. 2011-12-19T00:00:00 5 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 a geodatabase containing 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). For this specific project, NOAA requested that Woolpert define the Strom Thurmond Reservoir using a contour set to match the water level used for the portion of the reservoir located in Columbia County. This elevation is 323.55 survey feet. The Columbia county data was acquired several months prior to the Burke, Richmond, and Lincoln Counties. Due to this, the water levels in the reservoir were different. Woolpert set the contour to 325.55 survey feet and classified the las and produced the required products using the contour derived Strom Thurmond Reservoir. 2012-01-12T00:00:00 6 The NOAA Office for Coastal Management (OCM) received the files in las format. The files contained lidar elevation and intensity measurements. The data were in State Plane projection (NAD83, Georgia East), and vertically referenced to NAVD88 using the Geoid 09 model. Both horizontal and vertical units were in survey feet. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The data were converted from Georgia State Plane coordinates to geographic (NAD83) coordinates. 2. The data were converted from orthometric (NAVD88) heights to ellipsoidal heights (GRS80) using Geoid09. 3. The data were converted from vertical units of survey feet to meters. 4. Elevation outliers were removed. 2012-08-01T00:00:00 49297 Entity gov.noaa.nmfs.inport:48181 Anne Ball 2017-11-14T14:19:53 SysAdmin InPortAdmin 2022-08-09T17:11:33 2022-03-16 Office for Coastal Management OCM 1002 Public No No 2022-03-16 1 Year 2023-03-16