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Short Citation:
OCM Partners, 2024: 2011 South Carolina DNR Lidar: Tricounty (Anderson, Oconee, Pickens),

Item Identification

Title: 2011 South Carolina DNR Lidar: Tricounty (Anderson, Oconee, Pickens)
Short Name: sc2011_scdnr_tricounty_m4982_metadata
Status: Completed
Publication Date: 2015-03-10

Towill Inc. collected LiDAR for over 3,500 square miles in York, Pickens, Anderson, and Oconee Counties in South Carolina. The nominal pulse spacing for this project was 1.4 meters. This project was collected with a sensor which collects waveform data and provides an intensity value for each discrete pulse extracted from the waveform. GPS Week Time, Intensity, Flightline and echo number attributes were provided for each LiDAR point. Dewberry used proprietary procedures to classify the LAS according to contract specifications: 1-Unclassified, 2-Ground, 7-Noise, 8-Model Key Points, 9-Water, 10-Ignored Ground due to breakline proximity. Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro flattened DEMs for the 677 tiles (5000 ft x 5000 ft) that cover the project area. The report for Tricounty states: "A report covering the York County deliverable was also created and submitted separately." This report was delivered and can be found in the supplemental information for that mission on the Digital Coast (a link is provided below)


The purpose of this LiDAR data was to produce high accuracy 3D elevation products, including tiled LiDAR in LAS 1.2 format, 3D breaklines, and 10 ft cell size hydro flattened Digital Elevation Models (DEM).



Supplemental Information:

A report for this project is available at:

A footprint of this data set may be viewed in Google Earth at:

A report for the related project, 2011 York County, is available at:


Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category

Temporal Keywords

Thesaurus Keyword
None 2011

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: As Needed
Data Presentation Form: las
Entity Attribute Overview:

LAS 1.2 format (classes 1,2,7,8,9,10)

Entity Attribute Detail Citation:


Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of Towill Inc., Dewberry, SC DNR, NOAA, the Office for Coastal Management or its partners.

Support Roles

Data Steward

CC ID: 686055
Date Effective From: 2015-03-10
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


CC ID: 686057
Date Effective From: 2015-03-10
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Metadata Contact

CC ID: 686058
Date Effective From: 2015-03-10
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Point of Contact

CC ID: 686056
Date Effective From: 2015-03-10
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1137449
W° Bound: -83.363586
E° Bound: -82.310607
N° Bound: 35.09141218
S° Bound: 34.19873046

Extent Group 1 / Time Frame 1

CC ID: 1137448
Time Frame Type: Range
Start: 2011-03-08
End: 2011-03-13

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Data Access Procedure:

This data can be obtained on-line at the following URL:

The data set is dynamically generated based on user-specified parameters.;

Data Access Constraints:


Data 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. These data depict the heights at the time of the survey and are only accurate for that time.

Distribution Information

Distribution 1

CC ID: 742482
Download URL:
File Name: Customized Download

Create custom data files by choosing data area, product type, map projection, file format, datum, etc.

Distribution 2

CC ID: 742483
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 742485
URL Type:
Online Resource


CC ID: 742486
URL Type:
Online Resource


CC ID: 742487
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

This graphic shows the lidar coverage for the 2011 lidar project covering Anderson, Pickens and Oconee County, South Carolina.

Activity Log

Activity Log 1

CC ID: 686076
Activity Date/Time: 2016-05-23

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 686075
Activity Date/Time: 2017-11-14

Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using '' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 718592
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 742484
Activity Date/Time: 2018-03-13

Partial upload to move data access links to Distribution Info.

Data Quality

Horizontal Positional Accuracy:

Lidar source compiled to meet 1 m horizontal RMSE.; Quantitative Value: 1.0 meters, Test that produced the value: Dewberry does not perform independent horizontal accuracy testing on the LiDAR. LiDAR vendors perform calibrations on the LiDAR sensor and compare data to adjoining flight lines to ensure LiDAR meets the 1 m horizontal accuracy standard at the 95% confidence level. Please see the final project report for more details.

Vertical Positional Accuracy:

Vertical Lidar data accuracy was tested against 43 well distributed check points. The result of the test is an RMSEz = 0.064 meters (0.21 foot).; Quantitative Value: 0.064 meters, Test that produced the value: 6.4 cm RMSEz in open terrain

Completeness Report:

A visual qualitative assessment was performed to ensure data completeness and bare earth data cleanliness. No void or missing data, the bare earth surface is of good quality and data passes vertical accuracy specifications.

Conceptual Consistency:

Data covers the tile scheme provided for the project area.


Process Steps

Process Step 1

CC ID: 1137443

Towill Inc. employed an Optech Orion M-200 Lidar system in the acquisition of this Lidar data.

The planned acquisition parameters were as follows:

Target altitude - 1500 meters AMT; System PRF - 70kHz; Scan Half Angle - 20 degrees; Scan Rate - 38 hertz; Aircraft Speed - 150 knots; Target sidelap - 50 percent.

All missions originated and/or terminated at the Rock Hill Airport. A GPS base station was operating at the airport during every lift. The South Carolina Geodetic Survey, was contacted prior to the start of the Lidar acquisition to arrange for 1 Hertz data logging of several of the active CORS stations included in the primary survey network. The data from these stations were downloaded and applied in the post-processing of the kinematic Airborne GPS (AGPS) data.

Airborne GPS and Inertial Measurement Unit (IMU) data were acquired by the Applanix POS Inertial Navigation System during the missions. The post-processed POS data results in a 200 Hertz, 6-parameter

aircraft trajectory (x, y, z, roll, pitch, yaw).

The AGPS and IMU data were processed immediately following each mission. In addition, a sample of the Lidar data was post-processed at the completion of the missions and the data were reviewed to ensure correct system operation and data coverage.

Process Date/Time: 2011-04-14 00:00:00

Process Step 2

CC ID: 1137444

The kinematic AGPS data were post-processed using Novatel, Inc.'s Grafnav version 8.20 software, the de facto kinematic GPS post-processing package in the airborne remote sensing industry.

The post-processed AGPS trajectory is combined with the raw 200 Hertz IMU observations in a loosely-coupled Kalman filter-based processing algorithm to produce the final high-frequency Smoothed Best Estimated Trajectory (SBET). Applanix's POSPac software, version 4.4, is employed in this process.

Final Lidar data processing is accomplished using Optech's DASHMap software, version 5.01.

Process Date/Time: 2011-04-14 00:00:00

Process Step 3

CC ID: 1137445

Dewberry utilizes a variety of software suites for inventory management, classification, and data processing. All LiDAR related processes begin by importing the data into the GeoCue task management software. GeoCue allows the data to retain its delivered tiling scheme (5000 ft by 5000 ft). The tiled data is then opened in Terrascan where Dewberry uses proprietary ground classification routines to remove any non-ground points and generate an accurate ground surface. The ground routine consists of three main parameters (building size, iteration angle, and iteration distance); by adjusting these parameters and running several iterations of this routine an initial ground surface is developed. The building size parameter sets a roaming window size. Each tile is loaded with neighboring points from adjacent tiles and the routine classifies the data section by section based on this roaming window size. The second most important parameter is the maximum terrain angle, which sets the highest allowed terrain angle within the model. Once the ground routine has been completed a manual quality control routine is done using hillshades, cross-sections, and profiles within the Terrasolid software suite. After this QC step, a peer review and supervisor manual inspection is completed on a percentage of the classified tiles based on the project size and variability of the terrain. After the ground classification corrections were completed, the dataset was processed through a water classification routine that utilizes breaklines compiled by Dewberry to automatically classify hydrographic features. The water classification routine selects ground points within the breakline polygons and automatically classifies them as class 9, water. During this water classification routine, points which are in close proximity (1 m) to the hydrographic features are moved to class 10, an ignored ground. In addition to classes 1, 2, 8, 9, and 10, the project allows for a Class 7, noise points. This class was only used if needed when points could manually be identified as low/high points.

The fully classified dataset is then processed through Dewberry's comprehensive quality control program.

The data was classified as follows:

Class 1 = Unclassified. This class includes vegetation, buildings, noise etc.

Class 2 = Ground

Class 7= Noise

Class 8= Model Key Points

Class 9 = Water

Class 10= Ignored Ground

The LAS header information was verified to contain the following:

Class (Integer)

GPS Week Time (0.0001 seconds)

Easting (0.001 m)

Northing (0.001 m)

Elevation (0.001 m)

Echo Number (Integer 1 to 4)

Echo (Integer 1 to 4)

Intensity (8 bit integer)

Flight Line (Integer)

Scan Angle (Integer degree)

Process Date/Time: 2011-07-01 00:00:00

Process Step 4

CC ID: 1137446

The NOAA Office for Coastal Management (OCM) received the files in laz format from USGS via an FTP online repository. The files contained lidar elevation and intensity measurements. The data were in State Plane Zone 3900, NAVD88 (orthometric) heights in meters. OCM performed the following processing for data storage and Digital Coast provisioning purposes:

1. The data were converted from State Plane coordinates to geographic coordinates.

2. The data were converted from NAVD88 (orthometric) heights in meters to GRS80 (ellipsoid) heights in meters using Geoid 03.

3. The LAS data were sorted by latitude and the headers were updated.

4. Erroneous elevations were removed.

Process Date/Time: 2015-02-07 00:00:00

Catalog Details

Catalog Item ID: 49991
GUID: gov.noaa.nmfs.inport:49991
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:23+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2022-03-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16