gov.noaa.nmfs.inport:79541 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 2026-04-30T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) EPSG::6360 EPSG::6445 EPSG::6447 2017 - 2021 USGS Lidar DEM: Southwest GA 22 County ga2017_22cnty_dem_m14064 2017 creation 2026 publication NOAA/NMFS/EDM 79541 https://www.fisheries.noaa.gov/inport/item/79541 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/GA_SW_Georgia_22_County_Lidar_2017_B17/GA_SW_Georgia_B4_2017/reports/17017_ProjectReport_GAW_rev.pdf WWW:LINK-1.0-http--link Lidar Report - Block B4 Link to the Atlantic project report for block B4 download https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/GA_SW_Georgia_22_County_Lidar_2017_B17/GA_SW_Georgia_B5_2017/reports/17017_ProjectReport_GAE_rev.pdf WWW:LINK-1.0-http--link Lidar Report - Block B5 Link to the Atlantic project report for block B5 download https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/GA_SW_Georgia_22_County_Lidar_2017_B17/GA_SW_Georgia_B2_2017/reports/17017_ProjectReport_B1a_B1b_B2.pdf WWW:LINK-1.0-http--link Lidar Report - Blocks B1a, B1b, B2 Link to the Atlantic project report for blocks Ba1, B1b, B2 download https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/GA_SW_Georgia_22_County_Lidar_2017_B17/ WWW:LINK-1.0-http--link USGS Additional Info Link to the additional information available for this data set from the USGS. This information includes reports, tile index shapefiles, and hydro breaklines. 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 https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/GA_SW_Georgia_22_County_Lidar_2017_B17/USGS_GA_SW_Georgia_22County_Lidar_2017_B17_WP_report.pdf WWW:LINK-1.0-http--link USGS Work Package Report This USGS report provides the project information, vertical accuracy results, list of classifications, sensor used, and work unit information. download USGS NGTOC task order G17PD00242 required Spring 2017 LiDAR surveys to be collected over 7,931 square miles covering part or all of 22 counties in SW Georgia. These counties are Baker, Bleckley, Crawford, Crisp, Decatur, Dodge, Dooly, Early, Houston, Macon, Meriwether, Miller, Muscogee, Peach, Pulaski, Seminole, Telfair, Terrell, Troup, Turner, Twiggs, and Wilcox. Aerial LiDAR data for this task order was planned, acquired, processed, and produced at an aggregate nominal pulse spacing (ANPS) of 0.7 meters and in compliance with USGS National Geospatial Program LiDAR Base Specification version 1.2. Isolated gaps in GPS data were identified in several missions covering this project. As both, the IMU data and pulse data, were present across these gaps, using the fixed positions of the GPS on either end, the aircraft velocity across the gaps, and the IMU data, LiDAR calibration staff were able to reach an effective solution to address the GPS voids. Because these gaps were not uniform in size or correction, this extended the iterative LiDAR calibration efforts on this project. Subsequent rigorous data checking confirmed adequate results to meet the required accuracy specs. The USGS QA Team reviewed affected data (blocks) for this project and found no QA/QC discrepancies to report regarding those gaps. In three missions 123_20190317_1, 123_20190318_1, and 123_20190318_2 there were symptoms of skunk striping present in the collected data. These artifacts are manifested by low noise points at nadir and are believed to have been caused by exhaust from the aircraft during collection. Atlantic isolated the points affected by channel and by intensity, and classed them out to noise and flagged them as withheld. We were able to maintain the integrity of the surface and still meet density requirements to meet spec. This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the GeoTIFF files hosted by USGS on Amazon Web Services. The produced data (DEMs and derivative products) will aid in planning and management purposes of the participating counties and participants. The Atlantic Group, LLC, USGS 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://coast.noaa.gov/htdata/lidar4_z/geoid12b/data/9451/supplemental/ga2017_22county_m9451.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) theme Global Change Master Directory (GCMD) Science Keywords 23.3 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > GEORGIA 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 Baker Bleckley Crawford Crisp Decatur Dodge Dooly Early Houston Macon Meriwether Miller Muscogee Peach Pulaski Seminole Telfair Terrell Troup Turner Twiggs Wilcox place DEMs - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2017 - 2021 USGS Lidar DEM: Southwest GA 22 County [Data Date Range], https://www.fisheries.noaa.gov/inport/item/79541. 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 2017 - 2021 USGS Lidar: Southwest GA 22 County NOAA/NMFS/EDM 66622 crossReference grid 2.5 eng; US elevation -85.237589 -82.644524 30.689091 33.232394 Block 4 | Currentness: Ground Condition 2017-11-27 2019-03-18 Block 5 | Currentness: Ground Condition 2021-01-19 2021-01-30 Blocks 1a, 1b, 2 | Currentness: Ground Condition 2017-03-15 2017-11-24 Raster File Type = IMG Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 2.5 United States Survey Feet Interpolation or Resampling Technique = Bi-linear Interpolation Required Vertical Accuracy = 24.5 cm nva for 1.2 spec Zip Zip GeoTIFF 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 U.S. Geological Survey 12201 Sunrise Valley Drive Reston VA 20191 USA https://usgs.gov WWW:LINK-1.0-http--link USGS Home Home page for USGS information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=14064/details/14064 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base. download https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/GA_SW_Georgia_22_County_Lidar_2017_B17/ WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in GeoTIFF format, based on a horizontal datum/projection of GA State Plane East and West, NAD83(2011) (EPSG: 6445 and 6447), and a vertical datum of NAVD88 (GEOID12B) and units in US Survey feet (EPSG: 6360). download dataset Vertical Positional Accuracy This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. USGS Determined DEM Vertical Accuracy Non-Vegetated Vertical Accuracy (NVA) = 5.8 cm RMSE Vegetated Vertical Accuracy (VVA) = 28.61 cm at the 95th Percentile Completeness Report Area of interest covers project area. 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 NVA 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 All lidar data and lidar derived data covers the entire area of interest. 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. Isolated gaps in GPS data were identified in several missions covering this project. As both, the IMU data and pulse data, were present across these gaps, using the fixed positions of the GPS on either end, the aircraft velocity across the gaps, and the IMU data, LiDAR calibration staff were able to reach an effective solution to address the GPS voids. Because these gaps were not uniform in size or correction, this extended the iterative LiDAR calibration efforts on this project. Subsequent rigorous data checking confirmed adequate results to meet the required accuracy specs. The USGS QA Team reviewed affected data (blocks) for this project and found no QA/QC discrepancies to report regarding those gaps. In three missions 123_20190317_1, 123_20190318_1, and 123_20190318_2 there were symptoms of skunk striping present in the collected data. These artifacts are manifested by low noise points at nadir and are believed to have been caused by exhaust from the aircraft during collection. Atlantic isolated the points affected by channel and by intensity, and classed them out to noise and flagged them as withheld. We were able to maintain the integrity of the surface and still meet density requirements to meet spec. The NOAA Office for Coastal Management (OCM) ingested references to the USGS GeoTIFF files that are hosted on Amazon Web Services (AWS), into the Digital Coast Data Access Viewer (DAV). The DAV accesses the raster data as it resides on AWS. Aircraft and Sensor Information and Flight Plan Execution: Blocks B1a, B1b, B2: Atlantic operated a Cessna (N732JE) outfitted with a Leica ALS70-HP LiDAR system during the collection of the project area. Atlantic acquired 220 passes of the AOI as a series of perpendicular and/or adjacent flight-lines executed in 32 flight missions conducted between March 15, 2017 and November 24, 2017. Onboard differential Global Navigation Satellite System (GNSS) unit(s) recorded sample aircraft positions at 2 hertz (Hz) or more frequency. LiDAR data was only acquired when a minimum of six (6) satellites were in view. Twenty-three (23) Continuously Operating Reference Stations (CORS) were used to control the LiDAR acquisition for the defined project area. Block 5: Atlantic operated a Caravan (N167PM) outfitted with an Optech Galaxy T2000 LiDAR system during the collection of the project area. Atlantic acquired 85 passes of the AOI as a series of perpendicular and/or adjacent flight-lines executed in 7 flight missions conducted between January 19, 2021 and January 30, 2021. Onboard differential Global Navigation Satellite System (GNSS) unit(s) recorded sample aircraft positions at 2 hertz (Hz) or more frequency. LiDAR data was only acquired when a minimum of six (6) satellites were in view. Sixteen (16) Continuously Operating Reference Stations (CORS) were used to control the LiDAR acquisition for the defined project area. 2017-11-24T00:00:00 Ground Control Survey: Blocks B1a, B1b, B2: A total of 156 ground survey points were collected in support of this project, including 32 LiDAR Control Points (LCP), 73 Non-vegetated Vertical Accuracy (NVA) and 51 Vegetated Vertical Accuracy (VVA) points. Point cloud data accuracy was tested against a Triangulated Irregular Network (TIN) constructed from LiDAR points in clear and open areas. A clear and open area can be characterized with respect to topographic and ground cover variation such that a minimum of five (5) times the Nominal Pulse Spacing (NPS) exists with less than 1/3 of the RMSEZ deviation from a low-slope plane. Slopes that exceed ten (10) percent were avoided. Each land cover type representing ten (10) percent or more of the total project area were tested and reported with a VVA. In land cover categories other than dense urban areas, the tested points did not have obstructions forty-five (45) degrees above the horizon to ensure a satisfactory TIN surface. The VVA value is provided as a target. It is understood that in areas of dense vegetation, swamps, or extremely difficult terrain, this value may be exceeded. The NVA value is a requirement that must be met, regardless of any allowed “busts” in the VVA(s) for individual land cover types within the project. Checkpoints for each assessment (NVA and VVA) are required to be well-distributed throughout the land cover type, for the entire project area. Block 5: A total of 39 ground survey points were collected in support of this project, including 8 LiDAR Control Points (LCP), 17 Non-vegetated Vertical Accuracy (NVA) and 14 Vegetated Vertical Accuracy (VVA).Point cloud data accuracy was tested against a Triangulated Irregular Network (TIN) constructed from LiDAR points in clear and open areas. A clear and open area can be characterized with respect to topographic and ground cover variation such that a minimum of five (5) times the Nominal Pulse Spacing (NPS) exists with less than 1/3 of the RMSEZ deviation from a low-slope plane. Slopes that exceed ten (10) percent were avoided. Each land cover type representing ten (10) percent or more of the total project area were tested and reported with a VVA. In land cover categories other than dense urban areas, the tested points did not have obstructions forty-five (45) degrees above the horizon to ensure a satisfactory TIN surface. The VVA value is provided as a target. It is understood that in areas of dense vegetation, swamps, or extremely difficult terrain, this value may be exceeded. The NVA value is a requirement that must be met, regardless of any allowed “busts” in the VVA(s) for individual land cover types within the project. Checkpoints for each assessment (NVA and VVA) are required to be well-distributed throughout the land cover type, for the entire project area. 2017-04-30T00:00:00 LiDAR Point Cloud Generation: Atlantic used Leica software products to download the IPAS ABGNSS/IMU data and raw laser scan files from the airborne system. Waypoint Inertial Explorer is used to extract the raw IPAS ABGNSS/IMU data, which is further processed in combination with controlled base stations to provide the final Smoothed Best Estimate Trajectory (SBET) for each mission. The SBETs are combined with the raw laser scan files to export the LiDAR ASCII Standard (*.las) formatted swath point clouds. 2019-04-18T00:00:00 LiDAR Calibration: Using a combination of GeoCue, TerraScan and TerraMatch; overlapping swath point clouds are corrected for any orientation or linear deviations to obtain the best fit swath-to-swath calibration. 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 missions, was reduced to ≤2cm. A final analysis of the calibrated lidar is preformed using a TerraMatch tie line report for an overall statistical model of the project area. Individual control point assessments for this project can be found in Section VI of this report. Upon completion of the data calibration, a complete set of elevation difference intensity rasters (dZ Orthos) are produced. A user-defined color ramp is applied depicting the offsets between overlapping swaths based on project specifications. The dZ orthos provide an opportunity to review the data calibration in a qualitative manner. Atlantic assigns green to all offset values that fall below the required RMSDz requirement of the project. A yellow color is assigned for offsets that fall between the RMSDz value and 1.5x of that value. Finally, red values are assigned to all values that fall beyond 1.5x of the RMSDz requirements of the project. 2019-04-18T00:00:00 LiDAR Classification: Multiple automated filtering routines are applied to the calibrated LiDAR point cloud identifying and extracting bare-earth and above ground features. GeoCue, TerraScan, and TerraModeler software was used for the initial batch processing, visual inspection and any manual editing of the LiDAR point clouds. Atlantic utilized collected breakline data to preform classification for class 9 (Water). 2019-04-18T00:00:00 LiDAR Intensity Imagery: LiDAR intensity imagery was created from the final calibrated and classified lidar point cloud. Intensity images were produced from all classified points and posted to a 1.0-meter cell size. Intensity images were cut to match the tile index and its corresponding tile names and delivered in TIFF format. 2019-04-18T00:00:00 U.S. Geological Survey processor Hydro-line Collection/Conflation: Hydro breaklines were compiled using LiDAR intensity data and surface terrain models of the entire project area. After the collection, all delineated hydro features were validated for monotonicity and vertical variance. This procedure ensures that no points were floating above ground. Hydro-lines were then encoded into the LiDAR surface and used to hydro-enforce/flatten all significant water bodies. These final hydro-lines were then used in the production of bare Earth digital models to hydro flatten significant water bodies. This product was delivered as an ESRI shapefile for the entire project area. 2019-04-18T00:00:00 Office for Coastal Management processor Bare-Earth Surface Digital Elevation Model (DEM): Bare earth Digital Elevation Models (DEMs) were derived using the hydro-lines and bare earth (ground) LiDAR points. All DEMs were created with a grid spacing of 2.5 US survey feet. DEMs for this project were cut to match the tile index and its corresponding tile names and delivered in 32-bit floating point .tiff format. 2019-04-18T00:00:00 The NOAA Office for Coastal Management (OCM) created references to the USGS GeoTIFF files that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the raster data as it resides on Amazon Web Services (AWS). These are the GeoTIFF files that are being accessed: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/GA_SW_Georgia_22_County_Lidar_2017_B17/GA_SW_Georgia_B1a_2017/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/GA_SW_Georgia_22_County_Lidar_2017_B17/GA_SW_Georgia_B1b_2017/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/GA_SW_Georgia_22_County_Lidar_2017_B17/GA_SW_Georgia_B2_2017/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/GA_SW_Georgia_22_County_Lidar_2017_B17/GA_SW_Georgia_B4_2017/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/GA_SW_Georgia_22_County_Lidar_2017_B17/GA_SW_Georgia_B5_2017/TIFF/ 2026-04-06T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor USGS AWS GeoTIFF Files - GA_SW_Georgia_B1a USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/GA_SW_Georgia_22_County_Lidar_2017_B17/GA_SW_Georgia_B1a_2017/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files - GA_SW_Georgia_B1a Source Citation URL information publisher USGS AWS GeoTIFF Files - GA_SW_Georgia_B1b USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/GA_SW_Georgia_22_County_Lidar_2017_B17/GA_SW_Georgia_B1b_2017/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for GA_SW_Georgia_B1b Source Citation URL information publisher USGS AWS GeoTIFF Files - GA_SW_Georgia_B2 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/GA_SW_Georgia_22_County_Lidar_2017_B17/GA_SW_Georgia_B2_2017/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for GA_SW_Georgia_B2 Source Citation URL information publisher USGS AWS GeoTIFF Files - GA_SW_Georgia_B4 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/GA_SW_Georgia_22_County_Lidar_2017_B17/GA_SW_Georgia_B4_2017/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for GA_SW_Georgia_B4 Source Citation URL information publisher USGS AWS GeoTIFF Files - GA_SW_Georgia_B5 USGS https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/GA_SW_Georgia_22_County_Lidar_2017_B17/GA_SW_Georgia_B5_2017/TIFF/ WWW:LINK-1.0-http--link USGS AWS GeoTIFF Files for GA_SW_Georgia_B5 Source Citation URL information publisher