49730
2010 Wayne County, GA LIDAR Survey
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
2022-03-16
1 Year
2023-03-16