49730 ga2010_usgs_waynecounty_m2536_metadata Data Set Published / External 49401 Lidar - partner (no harvest) Project Completed 2013-08-29 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. 10375 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 Theme ISO 19115 Topic Category elevation Theme mapping Office for Coastal Management Charleston SC Data Set Unknown LAS Files 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. Data Steward 2013-08-29 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 2013-08-29 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 2013-08-29 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 2013-08-29 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 -82.15434047 -81.70666384 31.84143238 31.33333609 Range 2010-03-19 2010-03-24 Yes Unclassified This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer The data set is dynamically generated based on user-specified parameters. ; none 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. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=2536 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/geoid18/2536/index.html Bulk Download Simple download of data files. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2536/supplemental/ga2010_usgs_waynecounty.KMZ Browse Graphic Browse Graphic 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. 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 Standards 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. 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. 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 Datasets contain complete coverage of tiles. 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. LiDAR 2010-01-01 Range 2010-03-19 2010-03-24 LiDAR points were used to produce the deliverables. | Source Geospatial Form: digital data | Type of Source Media: hard drive 1 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 LiDAR gov.noaa.nmfs.inport:49730 Anne Ball 2017-11-15T15:21:55 SysAdmin InPortAdmin 2022-08-09T17:11:37 2022-03-16 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16