gov.noaa.nmfs.inport:49964
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
2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
NAD83(NSRS2007)
2008-11-12
publication
European Petroleum Survey Group
https://apps.epsg.org/api/v1/CoordRefSystem/4759/export/?format=gml
urn:ogc:def:crs:EPSG:4759
6.18.3
North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters
North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters
https://apps.epsg.org/api/v1/VerticalCoordRefSystem/5703/?api_key=gml
North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters
Link to Geographic Markup Language (GML) description of reference system.
information
resourceProvider
European Petroleum Survey Group
https://www.epsg.org/
European Petroleum Survey Group Geodetic Parameter Registry
Registry that accesses the EPSG Geodetic Parameter Dataset, which is a structured dataset of Coordinate Reference Systems and Coordinate Transformations.
search
publisher
vertical
OGP
2006-11-28
false
urn:ogc:def:cs:EPSG::6499
Vertical CS. Axis: height (H). Orientation: up. UoM: meter.
Used in vertical coordinate reference systems.
urn:ogc:def:axis:EPSG::114
H
up
urn:ogc:def:crs:EPSG::5703
2008 South Carolina Lidar: Clarendon County
sc2008_clarendon_m513_metadata
2009
publication
NOAA/NMFS/EDM
49964
https://www.fisheries.noaa.gov/inport/item/49964
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
WWW:LINK-1.0-http--link
Citation URL
Online Resource
download
https://coast.noaa.gov/dataviewer
WWW:LINK-1.0-http--link
Citation URL
Online Resource
download
The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens,
Greenwood, Newberry, Chester, Fairfield, Lancaster, Chesterfield, Marlboro, Darlington, Dillon, Marion,
Williamsburg, Clarendon, and Orangeburg. This metadata file is for the lidar county deliverables for Clarendon County, SC.
The project area consists of approximately 10,194 square miles including a buffer of 50 feet along the edges of the
project area and an additional buffer in some areas. The project design of the lidar data acquisition was developed
to support a nominal post spacing of 1.4 meters. The Fugro EarthData, Inc. acquisition team of Fugro Horizons, Inc.
and North West Group acquired 721 flight lines in 44 lifts from January 15, 2008 through February 10, 2008. The data
was divided into 5000' by 5000' foot cells that serve as the tiling scheme. Lidar data collection was performed with a
Cessna 310 aircraft, utilizing a Leica ALS50-II MPiA sensor, collecting multiple return x, y, and z data as well as
intensity data. Lidar data was processed to achieve a bare ground surface (Classes 2 and 8). Lidar data is remotely
sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser range
finding, GPS positioning and inertial measurement technologies, lidar instruments are able to make highly detailed
Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation.
This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
The purpose of this project is to collect and deliver topographic elevation point data derived from multiple
return light detection and ranging (lidar) measurements for a 16-county area in South Carolina. The elevation data will
be used as base data for South Carolina's flood plain mapping program (as part of FEMA's Map Modernization
Program) and for additional geospatial map products in the future.
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
Bare Earth
Intensity
Surface
Terrain
theme
Lidar - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2008 South Carolina Lidar: Clarendon County [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49964.
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: Users should be aware that temporal changes may have occurred since this data set was collected and some parts of
this data may no longer represent actual surface conditions. Users should not use this 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 NOAA, the Office for Coastal Management or its partners.
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
49964
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49964.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
-80.541874
-79.863048
33.42495
33.947342
| Currentness: Ground Condition
2008-01-15
2008-02-10
The LiDAR Quality Assurance (QA) Report Clarendon County, South Carolina may be viewed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/513/supplemental/LiDAR_QAQC_Report_Clarendon.pdf
false
eng
false
Lidar point cloud data tiled in LAS 1.1 format; ASPRS classification scheme, class 12 - flight line overlap points,
class 9 - points in water, class 8 - model-key points, class 2 - ground points, and class 1 - all other.
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=513
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/geoid18/513/index.html
WWW:LINK-1.0-http--link
Bulk Download
Simple download of data files.
download
dataset
Accuracy
The following methods are used to assure lidar accuracy:
1. Use of IMU and ground control network utilizing GPS techniques
2. Use of airborne GPS in conjunction with the acquisition of lidar
3. Measurement of quality control ground survey points within the finished product.
The boresight of the lidar was processed against the ground control for Clarendon County which consisted of
14 lidar ground survey points and 1 airborne GPS (ABGPS) base station at the operation airport. The horizontal datum
for the control was the North American Datum of 1983, 2007 adjustment (NAD83/2007). The vertical datum was
the North American Vertical Datum of 1988 (NAVD88). The Geoid 2003 model was used to transform the
ellipsoidal heights to GPS derived orthometric heights. ABGPS data was collected during the acquisition mission
for each flight line. During the data acquisition the Positional Dilution of Precision (PDOP) for the ABGPS
was monitored. The control points were measured by technicians using Terrascan and Fugro EarthData
proprietary software and applied to the boresight solution for the project lines.
Horizontal Positional Accuracy
The minimum expected horizontal accuracy was tested during the boresight process to meet or exceed the
National Standard for Spatial Data Accuracy (NSSDA). Horizontal accuracy is 1 meter RMSE or better.
Vertical Positional Accuracy
78 high accuracy checkpoints were surveyed following FEMA Guidelines and Specifications for Flood Hazard Mapping
Partners Appendix A: Guidance for Aerial mapping and Surveying which is based on the NSSDA.
Compared with the 0.363m specification for vertical accuracy at the 95% confidence level, equivalent to 2-foot contours,
the dataset passes by all methods of accuracy assessment (tested by Dewberry):
Tested 0.178 meter Fundamental Vertical Accuracy at 95 percent confidence level in open terrain using
RMSEz x 1.9600 (FEMA/NSSDA and NDEP/ASPRS methodologies);
Tested 0.136 meter Consolidated Vertical Accuracy at 95th percentile in all land cover categories combined
(NDEP/ASPRS methodology);
Tested 0.087 meter Supplemental Vertical Accuracy at 95th percentile in Vegetated terrain (NDEP/ASPRS methodology);
Tested 0.145 meter Supplemental Vertical Accuracy at 95th percentile in Urban terrain (NDEP/ASPRS methodology).
Completeness Measure
Cloud Cover: 0
Completeness Report
The bare earth surface will contain voids where insufficient energy was reflected from the surface to generate a valid
return from the terrain. Voids in the bare earth surface tend to occur in heavily vegetated areas, water bodies, and
beneath buildings, motor vehicles, bridges etc. Fresh or wet asphalt, wet sand and certain types of vegetation can
also cause voids or anomalous elevations.
Conceptual Consistency
Compliance with the accuracy standard was ensured by the collection of GPS ground control during the acquisition
of aerial lidar and the establishment of a GPS base station operation airport. The following checks were performed.
1. The ground control and airborne GPS data stream were validated through a fully analytical boresight adjustment.
2. The Lidar elevation data were checked against the project control.
3. Lidar elevation data was validated through an inspection of edge matching and visual inspection for quality
(artifact removal).
1. Lidar, GPS, and IMU data was processed together using lidar processing software.
2. The lidar data set for each flight line was checked for project area coverage and lidar post spacing was checked
to ensure it meets project specifications.
3. The lidar collected at the calibration area and project area were used to correct the rotational, atmospheric, and
vertical elevation differences that are inherent to lidar data.
4. Intensity rasters were generated to verify that intensity was recorded for each lidar point.
5. Lidar data was transformed to the specified project coordinate system.
6. By utilizing the ground survey data collected at the calibration site and project area, the lidar data was
vertically biased to the ground.
7. Comparisons between the biased lidar data and ground survey data within the project area were evaluated and a
final RMSE value was generated to ensure the data meets project specifications.
8. Lidar data in overlap areas of project flight lines were trimmed and data from all swaths were merged into a single
data set.
9. The data set was trimmed to the digital project boundary including an additional buffer zone of 50 feet (buffer zone
assures adequate contour generation from the DEM).
10.The resulting data set is referred to as the raw lidar data.
2008-07-08T00:00:00
1. The raw lidar data was processed through a minimum block mean algorithm, and points were classified as either
bare earth or non-bare earth.
2. User developed "macros" that factor mean terrain angle and height from the ground were used to determine bare
earth point classification.
3. The next phase of the surfacing process was a 2D edit procedure that ensures the accuracy of the automated
feature classification.
4. Editors used a combination of imagery, intensity of the lidar reflection, profiles, and tin-editing software to assess
points.
5. The lidar data was filtered, as necessary, using a quadric error metric to remove redundant points. This
method leaves points where there is a change in the slope of surfaces (road ditches) and eliminates points from evenly
sloped terrain (flat field) where the points do not affect the surface.
6. The algorithms for filtering data were utilized within Fugro EarthData's proprietary software and commercial software
written by TerraSolid.
7. The flight line overlap points were merged back into filtered data set for delivery product.
8. The point cloud data were delivered tiled in LAS 1.1 format; class 12 - flight line overlap points, class 9 - points
in water, class 8 - model-key points, class 2 - ground points, and class 1 - all other.
2008-11-17T00:00:00
Lidar intensity images were generated in TerraSolid software. The images are then brought up in Photoshop to
see if a curve is needed to modify the radiometrics and to ensure they match from group to group. Along with looking
for missing coverage and clipping to the boundary, the following steps are run in Photoshop:
1. Flip 0 values to 1
2. Change 3-band images to 1 band
3. Restore GeoTIFF headers. The intensity images were delivered in GeoTIFF format.
2008-11-17T00:00:00
Tiled lidar LAS datasets are imported into a single multipoint geodatabase featureclass. Only Ground and
Model-Keypoint are imported. An ArcGIS geodatabase terrain feature class is created using the terrain creation
dialogue provided through ArcCatalog. The multipoint featureclass is imported as mass point features in the
terrain. An overall tile boundary for the county is input as a soft clip feature for the terrain. The terrain pyramid level
resolutions and scales are automatically calculated based on the point coverage for the county.
2008-11-19T00:00:00
The NOAA Office for Coastal Management (OCM) received files in LAS format. The files contained
LiDAR intensity and elevation measurements. OCM performed the following processing on the data to make it available
within Digital Coast:
1. The data were converted from State Plane, SPCS Zone 3900 coordinates to geographic coordinates.
2. The data were converted from NAVD88 heights to ellipsoid heights using Geoid03.
3. The LAS header fields were sorted by latitude and updated.
2009-09-01T00:00:00
Source Contribution: The Fugro EarthData, Inc. acquisition team of Fugro Horizons, Inc. and North West Group collected ALS50-II
derived lidar over 16 counties in the State of South Carolina with a 1.4m, nominal post spacing using a
Cessna 310 aircraft. The collection for the entire project area was accomplished from January 15, 2008 through
February 10, 2008 (Flight dates were January 15, 16, 18, 20, 21, 25, 27, 28, 29, 30, 31 and February 2, 3, 4, 7, 8, 10).
The collection was performed using a Leica ALS50-II MPiA lidar system, serial numbers ALS039 and ALS064,
including an inertial measuring unit (IMU) and a dual frequency GPS receiver. This project required 44 lifts of
flight lines to be collected. The lines were flown at an average of 6,000 feet above mean terrain using a
maximum pulse rate frequency of 112,000 pulses per second. The planned maximum baseline length was 50 miles.
| Type of Source Media: external hard drive
Aerial Acquisition of Lidar Data for 16 counties in the State of South Carolina
2008-02-15
publication
2008-01-15
2008-02-10
Source Contribution: The State of South Carolina, Department of Natural Resources provided digital orthophotography covering the
project area in support of this project.
| Type of Source Media: external hard drive
Clarendon County, SC - Digital Orthophotography
2006-05-30
Source Contribution: ESP under contract to Fugro EarthData, Inc. successfully established ground control for Clarendon County, SC. A
total of 14 ground control points in Clarendon County, SC were acquired. GPS was used to establish the control
network. The horizontal datum was the North American Datum of 1983, 2007 adjustment (NAD83/2007). The
vertical datum was the North American Vertical Datum of 1988 (NAVD88).
| Type of Source Media: electronic mail system
South Carolina Lidar, Quality Control Surveys, 16 Counties
2008-01-31
publication
2008-01-21
The vertical values in this data set have been converted to reference North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters, using the GEOID18 grids provided by the National Geodetic Survey.
Any datum and projection transformations were then done with the Office for Coastal Management 'datum_shift' program. Compression to an LAZ file was done with the LAStools 'laszip' program and can be unzipped with the same free program (laszip.org)
Processing notes:
2024-03-01T07:45:38
NOAA Office for Coastal Management
coastal.info@noaa.gov
processor