gov.noaa.nmfs.inport:49730 eng UTF8 dataset 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) 2010 Wayne County, GA LIDAR Survey ga2010_usgs_waynecounty_m2536_metadata 2013-08-29 publication NOAA/NMFS/EDM 49730 https://www.fisheries.noaa.gov/inport/item/49730 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/dataviewer WWW:LINK-1.0-http--link Citation URL Online Resource download https://coast.noaa.gov WWW:LINK-1.0-http--link Citation URL Online Resource download The purpose of this project is to provide professional surveying and mapping services for the creation of a high-resolution digital elevation model developed from LIDAR data for Wayne County, Georgia. USGS Contract G10PC00026, Task Order Number G10PD000654 Original contact information: Contact Name: Mark Meade Contact Org: Photo Science, Inc. Phone: 859-277-8700 Email: mmeade@photoscience.com The purpose of this project is to provide professional surveying and mapping services to collect and deliver topographic elevation data derived from multiple return light detection and ranging (lidar) measurements for areas in southeast / coastal Georgia. These data are intended for use in coastal management decision making, including applications such as sea level rise and coastal flood mapping. Lifts were planned to meet project specifications and were flown under cloud-free conditions in order to collect LiDAR points at an average of 1.0 meter point spacing. This allows the user to create Intensity Images, Break Lines, and fully Classified LiDAR LAS files. Classified LAS files are used to show the manually reviewed bare earth surface. Any additional classification include Class 1 - unclassified, Class 2 - ground surface, Class 4 - medium Vegetation, Class 5 - High Vegetation, Class 7 - low point (noise) and Class 12 - Overlap points. 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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2536/supplemental/ga2010_usgs_waynecounty.KMZ This graphic shows the lidar coverage for the USGS Topography of Wayne County LiDAR survey area in Georgia collected and processed by Photo Science, Inc. kmz mapping theme Lidar - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2010 Wayne County, GA LIDAR Survey [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49730. 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: These unaltered data may not be redistributed without all of the elements of the metadata listed in the Supplemental Information section of this metadata document. Acknowledgement of Ayres Associates would be appreciated in products derived from these data. otherRestrictions Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of USGS, Photo Science, Inc., NOAA, the Office for Coastal Management or its partners. unclassified vector eng; US elevation -82.15434047 -81.70666384 31.33333609 31.84143238 | Currentness: Ground Condition 2010-03-19 2010-03-24 A footprint of this data may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2536/supplemental/ga2010_usgs_waynecounty.kmz A report of this data may be viewed at (accompanied the original data provided by Photo Science, Inc.: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2536/supplemental/ga2010_usgs_waynecounty_report.pdf 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=2536 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/geoid18/2536/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Accuracy The project area requires LiDAR to be collected on average of 1.0 meter point spacing or better and vertical accuracy of 18.0 centimeters RMSE or better to support 2' contour generation when combined with breaklines. Vertical Positional Accuracy Classified LAS files were tested by Photo Science for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas. The vertical unit of the data file is in decimal feet with 2-decimal point precision. Creation of other deliverables based on Classified LAS files is another check of the data. ; Quantitative Value: 0.185 meters, Test that produced the value: RMSE in feet Completeness Report Datasets contain complete coverage of tiles. Conceptual Consistency Classified LAS files were tested by Photo Science for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas. Creation of other deliverables based on Classified LAS files is another check of the data. Applanix software was used in the post processing of the airborne GPS and inertial data that is critical to the positioning and orientation of the sensor during all flights. POSPac MMS provides the smoothed best estimate of trajectory (SBET) that is necessary for Optech's post processor to develop the point cloud from the LiDAR missions. The point cloud is the mathematical three dimensional collection of all returns from all laser pulses as determined from the aerial mission. At this point this data is ready for analysis, classification, and filtering to generate a bare earth surface model in which the above ground features are removed from the data set. The point cloud was manipulated within the Optech software; GeoCue, TerraScan, and TerraModeler software was used for the automated data classification, manual cleanup, and bare earth generation from this data. Project specific macros were used to classify the ground and to remove the side overlap between parallel flight lines. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Breaklines were used to reclassify lakes and ponds and inland drains. Data was then run through additional macros to ensure deliverable classification levels matching LAS ASPRS Classification structure. GeoCue functionality was then used to ensure correct LAS Version. In house software was used as a final QA/QC check to provide LAS Analysis of the delivered tiles. 2010-01-01T00:00:00 Source Contribution: LiDAR points were used to produce the deliverables. | Source Geospatial Form: digital data | Type of Source Media: hard drive LiDAR 2010-01-01 publication 2010-03-19 2010-03-24