gov.noaa.nmfs.inport:48181
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Office for Coastal Management
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NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
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NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
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pointOfContact
2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
2011 Georgia Department of Natural Resources (GADNR) Environmental Protection Division (EPD) Lidar: Four Counties (Burke, Columbia, Lincoln, and Richmond)
ga2011_fourcounty_m1389_metadata
2012-09
publication
NOAA/NMFS/EDM
48181
https://www.fisheries.noaa.gov/inport/item/48181
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View the complete metadata record on InPort for more information about this dataset.
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This data set is the topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements for four
counties in Georgia. These counties are: Burke, Columbia, Lincoln, and Richmond. 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).
LiDAR data is a remotely sensed high resolution elevation data collected by an airborne platform. The LiDAR sensor uses a combination of
laser range finding, GPS positioning, and inertial measurement technologies. The LiDAR systems collect data point clouds that are used to
produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The LiDAR data acquisition
and processing for Burke, Lincoln, and Richmond County was performed in the Winter of 2011. The LiDAR data was provided to NOAA OCM,
as part of the 4 GA Counties of Elevation Data task order. The 4 GA Counties of Elevation Data task order AOI encompassed approximately
1,739 square miles. The area of interest acquired and processed for Burke, Lincoln, and Richmond County is approximately 1,386 square miles.
The task order required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 1.0 meter. The LiDAR data was collected to
meet Fundamental Vertical Accuracy (FVA) Root Mean Square Error (RMSE) of 18.0 cm or better at a 95% confidence level, so that when
combined with breaklines, the data adequately supports the generation of two (2) foot FEMA compliant contours. The final LiDAR data
was delivered in 5,000' x 5,000' tiles using North American Datum 1983, Georgia State Plane Coordinate System, East Zone, and expressed
in US Survey Feet. For data storage and Digital Coast provisioning purposes, the NOAA OCM converted the data to geographic coordinates
and ellipsoid heights in meters. Special Note: Temporal changes of water levels will be observed in any data from Richmond and Lincoln
counties overlapping any previously delivered data from Columbia County.
The final products include full classified LAS, hydrologically flattened four (4) foot pixel raster DEM's of the bare earth surface in
ESRI Floating Point Grid Format (ArcGRID DEMs), and hydrologically flattened breaklines.
The data were collected on the following dates:
Burke and Richmond Counties: December 13, 14, 17, 2011
Columbia County February 26, 2011
Lincoln County December 18, 2011
The data contains las points with the following classifications:
Class 0 No Classification
Class 2 Ground
Class 7 Low Point (Noise)
Class 9 Water
Class 10 Land below sea level
Class 12 Overlap
Original contact information:
Contact Org: NOAA Office for Coastal Management
Phone: 843-740-1202
Email: coastal.info@noaa.gov
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.
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
asNeeded
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1389/supplemental/2011_GADNR_Burke_Columbia_Lincoln_Richmond_Counties_Lidar.kmz
This graphic shows the lidar coverage for the four Georgia counties in this data set.
kmz
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
theme
Global Change Master Directory (GCMD) Science Keywords
17.0
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > GEORGIA
place
Global Change Master Directory (GCMD) Location Keywords
17.0
DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce
dataCentre
Global Change Master Directory (GCMD) Data Center Keywords
2017-04-24
publication
8.5
Lidar
project
InPort
otherRestrictions
Cite As: Office for Coastal Management, [Date of Access]: 2011 Georgia Department of Natural Resources (GADNR) Environmental Protection Division (EPD) Lidar: Four Counties (Burke, Columbia, Lincoln, and Richmond) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/48181.
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: 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.
otherRestrictions
Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of the GADNR, the Office for Coastal Management
or its partners.
unclassified
Unclassified
Unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
48181
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/48181.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
vector
eng; US
elevation
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; TerraSolid LTD: Terrascan Version 010.018
-82.641278
-81.540949
32.797092
33.982767
| Currentness: Ground Condition
2011-02-26
| Currentness: Ground Condition
2011-12-13
| Currentness: Ground Condition
2011-12-14
| Currentness: Ground Condition
2011-12-17
| Currentness: Ground Condition
2011-12-18
The Lidar Report for this data set may be viewed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1389/supplemental/4GACountiesofElevation_NOAA_Final_Report_Jun2012.pdf
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1389/supplemental/2011_GADNR_Burke_Columbia_Lincoln_Richmond_Counties_Lidar.kmz
false
eng
false
LAS 1.2 Full Class
2022-03-16
publication
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=1389
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/geoid18/1389/index.html
WWW:LINK-1.0-http--link
Bulk Download
Simple download of data files.
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dataset
Accuracy
The LiDAR collected for this task order was collected to meet a Fundamental Vertical Accuracy (FVA) of NSSDA RMSEZ = 18 cm
(NSSDA AccuracyZ 95% = 36cm) or better; assessment procedures to comply with FEMA guidelines.
| Quantitative Value: 18 cm RMSE | Quantitative Test Explanation: Points measured will produce an error less than 18.0 cm RMSE.
Horizontal Positional Accuracy
Horizontal accuracy is plus or minus 4 ft (1.21 m) at the 95% confidence level using RMSE(r) x 1.9600 as defined by the FGDC Geospatial Positional
Accuracy Standards, Part 3: NSSDA.
; Quantitative Value: 1.21 meters, Test that produced the value: LiDAR system calibration is available in the project report.
Vertical Positional Accuracy
The data collected under this Task Order meets the National Standard for Spatial Database Accuracy (NSSDA) accuracy standards.
The NSSDA standards specify that vertical accuracy be reported at the 95 percent confidence level for data tested by an independent
source of higher accuracy. (http://www.fgdc.gov/standards/projects/FGDC-standards-projects/accuracy/part3/index_html).
For Burke, Richmond, and Lincoln Counties, the Fundamental Vertical Accuracy (FVA) tested 6 cm (0.197 ft) RMSE at 95% confidence level.
For Columbia County, the Fundamental Vertical Accuracy (FVA) tested 5.4 cm (0.179 ft) RMSE at 95% confidence level.
Completeness Measure
Cloud Cover: 0
Completeness Report
The LiDAR data is visually inspected for completeness to ensure that are no gaps between flight lines.
Conceptual Consistency
All formatted data are validated using commercial GIS software to ensure proper formatting and loading prior to delivery.
Using a Leica LiDAR system, 100 flight lines of high density data, at a nominal pulse spacing (NPS) of 1.0 meter, were collected over
Burke, Lincoln and Richmond Counties, GA (approximately 1,386 square miles). Multiple returns were recorded for each laser pulse along
with an intensity value for each return. A total of six (6) missions were flown on December 13, 14, 17, and 18 in 2011. The geoid used
to reduce satellite derived elevations to orthometric heights was Geoid09. The horizontal datum used for this survey is North American
Datum 1983, Georgia State Plane Coordinate System, East Zone, and expressed in US Survey Feet. The vertical datum used for this survey
is North American Vertical Datum 1988 (NAVD88), and expressed in US Survey Feet. Airborne GPS data was differentially processed and
integrated with the post processed IMU data to derive a smoothed best estimate of trajectory (SBET). The SBET was used to reduce the
LiDAR slant range measurements to a raw reflective surface for each flight line.
System Parameters:
Type of Scanner = Leica
Data Acquisition Height = 6,500-feet AGL
Scanner Field of View = 40 degrees
The Scan Frequency = 41.8 Hertz
Pulse Repetition Rate - 115.6 Kilohertz
Aircraft Speed = 130 Knots
Swath Width = 4,732-feet
Number of Returns Per Pulse = Maximum of 4
Distance Between Flight Lines = 3,289-feet
2011-12-13T00:00:00
The Leica ALS50/60 LiDAR systems calibration and performance is verified on a periodic basis using Woolpert's calibration range. The
calibration range consists of a large building and runway. The edges of the building and control points along the runway have been
located using conventional survey methods. Inertial measurement unit (IMU) misalignment angles and horizontal accuracy are calculated
by comparing the position of the building edges between opposing flight lines. The scanner scale factor and vertical accuracy is
calculated through comparison of LiDAR data against control points along the runway. Field calibration is performed on all flight lines
to refine the IMU misalignment angles. IMU misalignment angles are calculated from the relative displacement of features within the
overlap region of adjacent (and opposing) flight lines. The raw LiDAR data is reduced using the refined misalignment angles.
2011-12-13T00:00:00
Once the data acquisition and GPS processing phases are complete, the LiDAR data was processed immediately to verify the coverage had
no voids. The GPS and IMU data was post processed using differential and Kalman filter algorithms to derive a best estimate of
trajectory. The quality of the solution was verified to be consistent with the accuracy requirements of the task order.
2011-12-18T00:00:00
The individual flight lines were inspected to ensure the systematic and residual errors have been identified and removed. Then, the
flight lines were compared to adjacent flight lines for any mismatches to obtain a homogenous coverage throughout the project area.
The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only"
as well as "last of many" LiDAR returns. This process determined bare-earth points (Class 2), noise (Class 7), water (Class 9)
ignored ground (Class 10), unclassified data (Class 1), and overlap points (Class 12). The bare-earth (Class 2 - Ground)
LiDAR points underwent a manual QA/QC step to verify that artifacts have been removed from the bare-earth surface. The surveyed ground
control points are used to perform the accuracy checks and statistical analysis of the LiDAR dataset.
2011-12-19T00:00:00
Breaklines defining lakes, greater than two acres, and double-line streams, wider than 100 feet (30.5 meters), were compiled using
digital photogrammetric techniques as part of the hydrographic flattening process and provided as a geodatabase containing ESRI
Polyline Z and Polygon Z feature classes. Breaklines defining water bodies and streams were compiled for this task order. The breaklines
were used to perform the hydrologic flattening of water bodies, and gradient hydrologic flattening of double line streams. Lakes,
reservoirs and ponds, at a nominal minimum size of two (2) acres or greater, were compiled as closed polygons. The closed water bodies
were collected at a constant elevation. Rivers and streams, at a nominal minimum width of 100 feet (30.5 meters), were compiled in the
direction of flow with both sides of the stream maintaining an equal gradient elevation. The hydrologic flattening of the LiDAR data
was performed for inclusion in the National Elevation Dataset (NED). For this specific project, NOAA requested that Woolpert define
the Strom Thurmond Reservoir using a contour set to match the water level used for the portion of the reservoir located in Columbia
County. This elevation is 323.55 survey feet. The Columbia county data was acquired several months prior to the Burke, Richmond, and
Lincoln Counties. Due to this, the water levels in the reservoir were different. Woolpert set the contour to 325.55 survey feet and
classified the las and produced the required products using the contour derived Strom Thurmond Reservoir.
2012-01-12T00:00:00
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 East), 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 Geoid09.
3. The data were converted from vertical units of survey feet to meters.
4. Elevation outliers were removed.
2012-08-01T00:00:00
Source Contribution: The LiDAR data collected for this task order. | Source Geospatial Form: vector digital data | Type of Source Media: disc
4 GA Counties of Elevation Data
2011-02-10
publication
2011-12-13