72381 ga2016_17counties_m10105_metadata Data Set Published / External 49401 Lidar - partner (no harvest) Project Completed 2016 2017-10-03 Product: These lidar data are processed classified LAS 1.4 files, formatted to individual 5,000-foot x 5,000-foot pilot tiles; used to create intensity images, 3D breaklines, hydro-flattened DEMs, and building footprints as necessary. Geographic Extent: Seventeen whole and partial counties in Georgia, covering approximately 6,851 total square miles GA_Georgia_A1 (West AOI) covering approximately 5364 square miles in the following counties: Brooks, Colquitt, Grady, Lamar, Lee, Marion, Meriwether, Mitchell, Pike, Schley, Spalding, Sumter, Talbot, Thomas, Upson, Worth GA_Georgia_A2 (East AOI) covering approximately 1198 square miles in the following counties: Burke, Jenkins GA_Georgia_A3 (West AOI) covering approximately 289 square miles in the following county: Calhoun Dataset Description of the Original Data: Georgia Counties 2016 QL2 Lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data for counties in the eastern AOI were developed based on a horizontal projection/datum of NAD83 (2011), State Plane Georgia East Zone, US survey feet and vertical datum of NAVD88 (GEOID12B), US survey feet. The data for counties in the western AOIs were developed based on a horizontal projection/datum of NAD83 (2011), State Plane Georgia West Zone, US survey feet and vertical datum of NAVD88 (GEOID12B), US survey feet. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files formatted to individual 5,000-foot x 5,000-foot tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 5,000-foot x 5,000-foot schema. Continuous breaklines were produced in Esri file geodatabase format. Building footprints were created in Esri file geodatabase format. Ground Conditions: Lidar was partially collected in February and March of 2016, while no snow was on the ground and rivers were at or below normal levels. Due to unfavorable conditions the remainder of the data was collected in January and February of 2017. 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 Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images, breaklines and raster DEMs. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 2 foot cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, hydro-flattened DEMs, and building footprints as necessary. USGS Contract No. G10PC00016 CONTRACTOR: Quantum Spatial, Inc. SUBCONTRACTOR: Aerial Surveys International, LLC. Lidar data were acquired by Aerial Surveys International, LLC. All follow-on processing was completed by the prime contractor. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "USGS-NGP Base Specification v1.2", "ldrsens" : "Optech Orion H300", "ldrmaxnr" : "5", "ldrnps" : "0.69", "ldrdens" : "2.19", "ldranps" : "0.69", "ldradens" : "2.19", "ldrfltht" : "1700", "ldrfltsp" : "140", "ldrscana" : "38", "ldrscanr" : "52.0", "ldrpulsr" : "225", "ldrpulsd" : "4", "ldrpulsw" : "0.41", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.25", "ldrswatw" : "1170.17", "ldrswato" : "30", "ldrcrs" : "NAD 1983 (2011) State Plane Georgia East Zone US Survey Feet", "ldrgeoid" : "GEOID12B" }, "ldraccur" : { "ldrchacc" : "0", "rawnva" : "0.075", "rawnvan" : "146" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in these 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" : "Processed, but Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare-Earth Ground" }, "lasclass" : { "clascode" : "6", "clasitem" : "Buildings" }, "lasclass" : { "clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "In-land Water" }, "lasclass" : { "clascode" : "10", "clasitem" : "Ignored Ground" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : { "clascode" : "18", "clasitem" : "High Noise" } }} Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION Theme ISO 19115 Topic Category elevation Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > GEORGIA Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > LAND SURFACE Instrument Global Change Master Directory (GCMD) Instrument Keywords LIDAR > Light Detection and Ranging Platform Global Change Master Directory (GCMD) Platform Keywords Airplane > Airplane Office for Coastal Management Charleston SC Data Set Elevation None Planned Model (digital) Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. Quantum Spatial, Inc., NRCS, USGS Data Steward 2024 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 2024 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 2018 Organization U.S. Geological Survey 12201 Sunrise Valley Drive Reston VA 20191 USA https://usgs.gov USGS Home Home page for USGS Online Resource Metadata Contact 2024 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 2024 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 -82.32 -81.54 33.31 32.61 GA_Georgia_2 - (East AOI) covering approximately 1198 square miles in the following counties: Burke, Jenkins Range 2016-03-02 2016-03-10 Dates of collection for GA_Georgia_2 -84.71 -83.34 33.23 30.64 GA_Georgia_1 - (West AOI) covering approximately 5364 square miles in the following counties: Brooks, Colquitt, Grady, Lamar, Lee, Marion, Meriwether, Mitchell, Pike, Schley, Spalding, Sumter, Talbot, Thomas, Upson, Worth Range 2016-02-28 2016-03-18 Dates of collection for GA_Georgia_1 Range 2017-01-10 2017-02-10 Dates of collection for GA_Georgia_1 -84.83 -84.41 31.65 31.43 GA_Georgia_A3 - (West AOI) covering approximately 289 square miles in the following county: Calhoun Discrete 2016-03-15 Date of collection for GA_Georgia_3 .35 Meter No Yes No No No Projected EPSG:3857 WGS 84 / Pseudo-Mercator World Geodetic System 1984 WGS 84 6378137 298.257223563 WGS 84 Popular Visualisation Pseudo-Mercator Popular Visualisation Pseudo Mercator Latitude of natural origin 0° 0' 0" N Longitude of natural origin 0° 0' 0" E False easting 0 metre False northing 0 metre 1 Easting X metre east 2 Northing Y metre north Vertical EPSG:5703 NAVD88 height North American Vertical Datum 1988 1 Gravity-related height H metre up Custom Unclassified Data is available online for bulk and custom downloads. None 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. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10105/details/10105 2024 Organization NOAA Office for Coastal Management 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. Not Applicable Zip https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/GA_Georgia_Lidar_2016_D16/ 2018 Organization U.S. Geological Survey Bulk Download Bulk download of data files in LAZ format, a horizontal projection/datum of NAD83 (2011), State Plane Georgia East and West Zones, US survey feet and vertical datum of NAVD88 (GEOID12B), US survey feet. LAS/LAZ - LASer LAZ https://coast.noaa.gov/dataviewer/ NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) Online Resource HTML 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. https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/GA_Georgia_Lidar_2016_D16/GA_Georgia-A2_2016/reports/28289_17GACounties_ProjectReport_Early2016.pdf Lidar Report Online Resource pdf This report provides details on the data acquired from February 28, 2016 to March 18, 2016. It does not include information about the data acquired from January 10, 2017 to February 10, 2017. https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/GA_Georgia_Lidar_2016_D16/ USGS Additional Info Online Resource Link to the reports, breaklines, metadata, and spatial metadata. https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_GA_Georgia_A1_2016_LAS_2018/ept.json USGS Entwine Point Tile (EPT) - GA_Georgia_A1 Online Resource json Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_GA_Georgia_A2_2016_LAS_2018/ept.json USGS Entwine Point Tile (EPT) - GA_Georgia_A2 Online Resource json Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_GA_Georgia_A3_2016_LAS_2018/ept.json USGS Entwine Point Tile (EPT) - GA_Georgia_A3 Online Resource json Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. https://usgs.entwine.io/data/view.html?r=[%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_GA_Georgia_A1_2016_LAS_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_GA_Georgia_A2_2016_LAS_2018/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_GA_Georgia_A3_2016_LAS_2018/ept.json%22] USGS 3D View Online Resource Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. The required accuracy testing was performed on the LiDAR dataset (both the LiDAR point cloud and derived DEM's according to the USGS LiDAR Base Specification Version 1.2 (2014). In this document, horizontal coordinates for ground control and QA points for all LiDAR classes are reported in NAD83 (2011) State Plane Georgia West and East Zones, US survey feet; NAVD88 (GEOID12B), US survey feet. The values listed below were based upon the portion of the dataset that was collected from February 28 - March 18, 2016, not the entirety of the dataset (the remainder of the dataset was collected in January and February of 2017). The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the bare earth and urban land cover classes. The NVA was tested with 5 checkpoints in the GA West - Small AOI, 22 checkpoints in the GA West Spring 2016 AOI, and 40 checkpoints in the GA East AOI, all located in bare earth and urban (non-vegetated) areas. These check points were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See the report listed in the URL section of this metadata record for additional accuracy information. GA_Georgia_A1 (West Spring AOI) covering approximately 5364 square miles in the following counties: Brooks, Colquitt, Grady, Lamar, Lee, Marion, Meriwether, Mitchell, Pike, Schley, Spalding, Sumter, Talbot, Thomas, Upson, Worth NVA RMSE = 4 cm VVA = 12 cm at the 95th Percentile GA_Georgia_A2 (East AOI) covering approximately 1198 square miles in the following counties: Burke, Jenkins NVA RMSE = 3.7 cm VVA = 9.4 cm at the 95th Percentile GA_Georgia_A3 (West Small AOI) covering approximately 289 square miles in the following county: Calhoun NVA RMSE = 3 cm VVA = 4.6 cm at the 95th Percentile These LAS data files include 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 Non-Vegetated Vertical Accuracy specifications. Data covers the entire area specified for this project. Yes Unknown Yes NCEI-NC Data is backed up to cloud storage. The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tiles (EPT) hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container. USGS AWS Entwine Point Tile (EPT) - GA_Georgia_A1 Organization USGS Publisher https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_GA_Georgia_A1_2016_LAS_2018/ept.json Entwine Point Tile for GA_Georgia_A1 USGS AWS Entwine Point Tile (EPT) - GA_Georgia_A2 Organization USGS Publisher https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_GA_Georgia_A2_2016_LAS_2018/ept.json Entwine Point Tile for GA_Georgia_A2 USGS AWS Entwine Point Tile (EPT) - GA_Georgia_A3 Organization USGS Publisher https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_GA_Georgia_A3_2016_LAS_2018/ept.json Entwine Point Tile for GA_Georgia_A3 1 LAS Point Classification: The point classification is performed as described below. The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro-flattened breaklines were then classified to Water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 3 feet was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS through numerous conference calls and pilot study areas. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper us used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Quantum Spatial, Inc. proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information. 2017-01-01T00:00:00 2 Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 web mercator (EPSG 3857) and the vertical units were converted to meters (NAVD88 GEOID12B). Organization U.S. Geological Survey 12201 Sunrise Valley Drive Reston VA 20191 USA https://usgs.gov USGS Home Home page for USGS Online Resource 3 The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tiles (EPT) that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the point cloud as it resides on Amazon Web Services (AWS) under the usgs-lidar-public container. These are the AWS URLs being accessed: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_GA_Georgia_A1_2016_LAS_2018/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_GA_Georgia_A2_2016_LAS_2018/ept.json https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_GA_Georgia_A3_2016_LAS_2018/ept.json 2024-04-03T00:00:00 Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ gov.noaa.nmfs.inport:72381 Rebecca Mataosky 2024-04-03T20:11:40 SysAdmin InPortAdmin 2026-03-04T19:17:17 2024-04-04 OCM Partners OCMP 1002 Public No No 2024-04-04 1 Year 2025-04-04