49731
2011 Georgia Department of Natural Resources (GADNR) Environmental Protection Division (EPD) Lidar: Seven Counties (Bibb, Harris, Heard, Jasper, Jones, Monroe, Walton)
ga2011_sevencounty_m1390_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2012-09
This data set is the topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements for seven
counties in Georgia. These counties are: Bibb, Harris, Heard, Jasper, Jones, Monroe, and Walton. The Statement of Work (SOW) was developed
by the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management (referred to as the Center) in partnership
with the Georgia Department of Natural Resources (GADNR) Environmental Protection Division (EPD). The data included hydro flattened DEMs for
inclusion into the National Elevation Dataset (NED).
LiDAR was collected as weather permitted between March 2 and April 14, 2011. In all, a total of 2570 square miles were collected in 390
flightlines. The data were collected at 1.0 point per square meter (1.0 m GSD) for the seven "inland" counties in Georgia. This area was
flown during snow free and leaf-off conditions.
The data contains las points with the following classifications:
Class -1 No Classification
Class 2 Ground
Class 7 Low Point (Noise)
Class 9 Water
Class 10 Land below sea level
Class 12 Overlap
The purpose of this data is for use in coastal management decision making, including applications such as flood mapping, hydrologic modeling,
risk map analysis, and water rights management.
10376
The Lidar Report for this data set may be viewed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1390/supplemental/1016_8_FinalReport_05142012_xFuoi.pdf
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1390/supplemental/2011_GADNR_Seven_Counties_Lidar.kmz
Theme
ISO 19115 Topic Category
elevation
Office for Coastal Management
Charleston
SC
Data Set
Unknown
LAS 1.2 files (ASPRS Classes (1,2,7,9,10,11,17,18,25); Breakline Shapefiles; 4 Foot Raster DEM
All deliverables meet specifications in contract. LAS Files meet ASPRS Classification Standards.
Any conclusions drawn from the analysis of this information are not the responsibility of the GADNR, the Office for Coastal Management
or its partners.
Photo Science, Inc. in conjunction with 3001 acquired the LiDAR for Heard, Harris, Walton, Jasper, Monroe, Jones, and Bibb for the
seven "inland" counties. Photo Science, Inc. processed the data for the entire seven "inland" counties.
Data Steward
2012-09
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
2012-09
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
2012-09
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
2012-09
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
-85.309409
-83.331076
33.944867
32.565594
Range
2011-03-02
2011-04-12
Unclassified
This data can be obtained on-line at the following URL:
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1390
;
None
None, however, users should be aware that temporal changes may have occurred since this data set was collected and that some parts of the data
may no longer represent actual surface conditions. Users should not use the data for critical applications without a full awareness of its limitations.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1390
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/geoid18/1390/index.html
Bulk Download
Simple download of data files.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1390/supplemental/2011_GADNR_Seven_Counties_Lidar.kmz
Browse Graphic
Browse Graphic
kmz
This graphic shows the lidar coverage for the seven Georgia counties in this data set.
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 Standard 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.
MicroStation Version 8; TerraScan Version 11; Optech DASHMap 5.100; TerraModeler Version 11; GeoCue Version 7.0.34.5; ESRI ArcGIS 10.0; Global
Mapper Version 13.00; ALS Post Processor 2.70 Build #15; Windows XP Operating System
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.
Deliverables were tested by Photo Science, Inc. for both vertical and horizontal accuracy. All data are seamless from one tile to the next,
no gaps, or no data areas. The vertical unit of the data file is in survey feet with 2-decimal point precision. The vertical accuracies for this
data set are different for each county.
For Bibb, Jasper, Jones, and Monroe counties: vertical accuracy is 7.07 cm RMSE
For Harris County: vertical accuracy is 9.9 cm RMSE
For Heard County: vertical accuracy is 13.3 cm RMSE
For Walton County: vertical accuracy is 6.6 cm RMSE
Datasets contain complete coverage of tiles.
Deliverables were tested by Photo Science, Inc. for both vertical and horizontal accuracy. All data are seamless from one tile to the next, no gaps
or no data areas.
LiDAR
2011-01-01
Range
2011-03-02
2011-04-12
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 modelin which the above ground features are removed from the data set.
The point cloud was manipulated within the Optech or Leica 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.
Class 2 LIDAR was used to create a bare earth surface model. The surface model was then used to heads-up digitize 2D breaklines of
inland streams and rivers. Inland Ponds and Lakes of 0.5 acres or greater were also collected along with the Coastal
Shoreline for the ten "coastal" counties and 2.0 acres for the seven "inland" counties.
Elevation values were assigned to all Inland Ponds, Lakes, and Shorelines using TerraModeler functionality.
Elevation values were assigned to all Inland streams and rivers using Photo Science proprietary software.
All Class 2 LIDAR data falling inside of the collected breaklines were then classified to Class 9 and Class 2 LIDAR data falling within a
proximity of three feet will be classified to Class 10 using TerraScan macro functionality.
The breakline files were translated to ESRI Shapefile format using ESRI conversion tools.
Data was then run through additional macros to ensure deliverable classification levels matching LAS ASPRS Classification structure. GeoCue
functionality was 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.
Tiles were run through automated scripting within ArcMap and were combined with the Hydro Flattened Breaklines to create the 4' DEM. Final
DEM tiles were clipped to the tile boundary in order to provide a seamless dataset.
A manual QA review of the tiles was completed in ArcMap and Global Mapper to ensure full coverage with no gaps or slivers within the project area.
2011-01-01T00:00:00
LiDAR
2
The NOAA Office for Coastal Management (OCM) received the files in las format. The files contained lidar elevation and intensity measurements.
The data were in State Plane projection (NAD83, Georgia West), and vertically referenced to NAVD88 using the Geoid 09 model. Both horizontal
and vertical units were in survey feet. OCM performed the following processing for data storage and Digital Coast provisioning purposes:
1. The data were converted from Georgia State Plane coordinates to geographic (NAD83) coordinates.
2. The data were converted from orthometric (NAVD88) heights to ellipsoidal heights (GRS80) using Geoid 09.
3. The data were converted from vertical units of survey feet to meters
4. Elevation outliers were removed.
2012-08-01T00:00:00
gov.noaa.nmfs.inport:49731
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