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Short Citation:
OCM Partners, 2022: 2007 South Carolina DNR Lidar: Dorchester County,

Item Identification

Title: 2007 South Carolina DNR Lidar: Dorchester County
Short Name: sc2007_scdnr_dorchester_m5106_metadata
Status: Completed
Publication Date: 2016-10-17

Woolpert Inc. conducted a LiDAR survey to acquire LiDAR capable of producing a DEM for orthophoto rectification and able to support 2-foot contour specifications. The LiDAR data was acquired across the project area of Dorchester County, SC. The lidar data acquisition was executed in 5 sessions, from March 5 to March 7, 2007, using a Leica ALS50(83) Lidar System. The airborne GPS (ABGPS) base stations supporting the LiDAR acquisition consisted of the bases set up by the flight crews at KDYB Airport. Dual Frequency data was logged continuously for the duration of each LiDAR flight mission at a one-second sampling rate or better. The flight plan for LiDAR consisted of parallel flights in a north-south extent across the site. Ninety-seven (97) flight lines of LiDAR data were acquired. No problems were encountered during the LiDAR data acquisition phase of the project which would adversely affect the final accuracy, nor schedule of the final deliverables.


High density LiDAR data acquisition within the project limits at a sufficient altitude and density to support digital terrain model (DTM) development for 2-foot contours with a vertical accuracy of 1.2-feet at the 95 percent confidence level.



Supplemental Information:

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


Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category

Temporal Keywords

Thesaurus Keyword
None 2007

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 1,2,5)

Entity Attribute Detail Citation:


Distribution Liability:

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

Support Roles

Data Steward

CC ID: 684949
Date Effective From: 2016-10-17
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: 684951
Date Effective From: 2016-10-17
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: 684952
Date Effective From: 2016-10-17
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: 684950
Date Effective From: 2016-10-17
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: 1138173
W° Bound: -80.792967
E° Bound: -80.075435
N° Bound: 33.335336
S° Bound: 32.815921

Extent Group 1 / Time Frame 1

CC ID: 1138172
Time Frame Type: Range
Start: 2007-03-05
End: 2007-03-07

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: 742316
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: 742317
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 742319
URL Type:
Online Resource


CC ID: 742320
URL Type:
Online Resource


CC ID: 742321
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

This graphic shows the lidar coverage for the 2007 lidar project covering Dorchester County, South Carolina.

Activity Log

Activity Log 1

CC ID: 684968
Activity Date/Time: 2016-12-27

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 684967
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: 718561
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 742318
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: The 3D breaklines inherit the accuracy of the Lidar stereo pairs it was acquired from. Lidar source compiled to meet 1m horizontal accuracy.

Vertical Positional Accuracy:

Technical specifications were to be 18.5 cm RMSE to support 2 ft contours.; Quantitative Value: 0.185 meters, Test that produced the value: Technical specifications were for 18.5 cm RMSE.

Completeness Report:

A visual qualitative assessment was performed to ensure the data completeness against the intensity images derived from Lidar points.

Conceptual Consistency:

Data covers the tile scheme provided for the county and was verified for correct topology.


Process Steps

Process Step 1

CC ID: 1138163

The ABGPS, IMU, and raw Leica ALS-50 LiDAR data are integrated into the LEICA ALS post processor software. The resultant file is in a LAS binary file format. The LAS file version 1.1 formats can be easily transferred from one file format to another. It is a binary file format that maintains information specific to the LiDAR data (return#, intensity value, xyz, etc.). The resultant points are produced in the geodetic coordinates referenced to the NAD83 horizontal datum and GRS80 vertical datum. The date and time for each flight line can be determined using the Julian date and time. The Julian date is a continuous count of days and fractions since noon Universal Time on January 1, 4713 BCE on the Julian calendar.

Process Date/Time: 2009-01-01 00:00:00

Process Step 2

CC ID: 1138164

The unedited data are classified to facilitate the application of the appropriate feature extraction filters. A combination of proprietary filters is applied as appropriate for the production of bare earth digital terrain models (dtms). Interactive editing methods are applied to those areas where it is inappropriate or impossible to use the feature extraction filters, based upon the design criteria and/or limitations of the relevant filters. These same feature extraction filters are used to produce elevation height surfaces. The LiDAR mass points were delivered in American Society for Photogrammetry and Remote Sensing LAS 1.1 format.

Process Date/Time: 2009-01-01 00:00:00

Process Step 3

CC ID: 1138165

Conversion from Geodetic coordinates NAD83 into State Plane coordinates (International Feet) NAD83 and conversion from ellipsoid heights (meters) into orthometric heights (U.S. Survey Feet).

Process Date/Time: 2009-01-01 00:00:00

Process Step 4

CC ID: 1138166

Sanborn used GeoCue software to develop LiDAR stereo models. The raster resolution was 1.0 m.

Process Date/Time: 2009-01-01 00:00:00

Process Step 5

CC ID: 1138167

LiDAR intensity stereo pairs were viewed in 3-D stereo using softcopy photogrammetric software; the breaklines were stereo-compiled in accordance with the Data Dictionary. The LiDARgrammetry was performed under the direct supervision of an ASPRS Certified Photogrammetrist. The breaklines conform to data format requirements outlined by the S.C. Dept. of Natural Resources project specifications.

Process Date/Time: 2009-01-01 00:00:00

Process Step 6

CC ID: 1138168

Vector 3D breaklines were loaded in an ESRI file geodatabase; topology rules were validated to ensure that breaklines do not intersect or overlap.

Process Date/Time: 2009-01-01 00:00:00

Process Step 7

CC ID: 1138169

Terrain population procedure: (1) Use ArcGIS "LAS to Multipoint" tool to output class 2 (2 and 8 for South Carolina) points to shapefile (2) Load multipoint shapefile features to geodatabase class (3) Make new terrain, use all appropriate feature classes to enforce the terrain a.HYDROGRAPHIC b.ROADBREAKLINE c.SOFTFEATURES d.ISLAND e.WATERBODY (4)Build terrain

Process Date/Time: 2009-01-01 00:00:00

Process Step 8

CC ID: 1138170

The NOAA Office for Coastal Management (OCM) received the files in LAZ format from the South Carolina Department of Natural Resources (SCDNR) via a HDD. 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 09.

3. Erroneous elevations were removed.

Process Date/Time: 2016-10-17 00:00:00

Catalog Details

Catalog Item ID: 49960
GUID: gov.noaa.nmfs.inport:49960
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:23+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2022-08-15 20:20+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