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FGDC CSDGM Metadata
FALSE
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1993850.009843
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87395.000000
318020.000000
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002
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GCS_NAD_1983_NSRS2007
Linear Unit: Foot (0.304800)
NAD_1983_NSRS2007_StatePlane_South_Carolina_FIPS_3900_Ft_Intl
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20190805
12104200
20190805
12104200
James Scurry, PhD
South Carolina Department of Natural Resources
Technology Development Program Director
(803) 734-9494
1000 Assembly Street, Suite 125
Columbia
SC
29201
US
20130830
ArcGIS Metadata
1.0
South Carolina Department of Natural Resources
Technology Development Program Director
(803) 734-9494
1000 Assembly Street, Suite 125
Columbia
SC
29201
US
File Geodatabase Feature Class
Contours
2013-08-01
SC Dept of Natural Resources
Contour Data
LMSI provided high accuracy, calibrated multiple return LiDAR for roughly 785 square miles covering Beaufort County, South Carolina. The nominal point spacing for this project was at least 4 points per square meter. Dewberry used proprietary procedures to classify the LAS according to project specifications: 1-Unclassified, 2-Ground, 7-Noise, 8-Model Key Points, 9-Water, 10-Ignored Ground, 11-Withheld Points, 13-Bridges and Culverts. Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro-enforced DEMs for the 982 tiles (5000 ft x 5000 ft) that cover the project area.
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 5 ft cell size hydro-enforced Digital Elevation Models (DEMs).
South Carolina Department of Natural Resources
Technology Development Program Manager
(803) 734-9494
1000 Assembly Street, Suite 125
Columbia
SC
29201
US
South Carolina
Beaufort County
Bare earth
Elevation
Lidar
LAS
Hydro Enforced
Contours
DEM
DTM
Breaklines
Model Key Points
Bare earth
Elevation
Lidar
South Carolina
LAS
Hydro Enforced
Contours
DEM
DTM
Beaufort County
Breaklines
Model Key Points
This data was produced for the South Carolina Dept of Natural Resources according to specific project requirements. This information is provided "as is". Further documentation of this data can be obtained by contacting: James Scurry PhD, SC Dept of Natural Resources, 1000 Assembly Street Suite 125, Columbia, SC, 29201. Telephone (803) 734-9494.
This data was produced for the SC Dept of Natural Resources according to specific project requirements. This information is provided "as is". Further documentation of this data can be obtained by contacting: James Scurry PhD, SC Dept of Natural Resources, 1000 Assembly Street Suite 125, Columbia, SC, 29201. Telephone (803) 734-9494.
ESRI ArcGIS 10.0.4.4000
ground condition
2013-07-01
2013-08-30
-6.000000
73.000000
-81.019529
-80.401518
32.072336
32.707084
-6.000000
73.000000
A complete description of this dataset is available in the Final Project Report submitted to the SC Dept of Natural Resources.
1
-81.019994
-80.413929
32.707367
32.072110
Data covers the tile scheme provided for the project area.
A visual qualitative assessment was performed to ensure data completeness and correct topological behavior. No void or missing data.
Contours created from LiDAR source that was compiled to meet 0.6 meter horizontal accuracy. Horizontal accuracy is not performed on the contours.
The contours are derived from a terrain surface model created from the source LiDAR and 3D breaklines. Horizontal accuracy is not performed on the contours, breaklines, or LiDAR. LiDAR vendors perform calibrations on the LiDAR sensor and compare data to adjoing flight lines to ensure LiDAR meets the 0.6 meter horizontal accuracy standard at the 95% confidence level. Please see the final project report delivered to the SC Dept of Natural Resources for more details.
0.6 meter
The vertical accuracy of the LiDAR was not tested by Dewberry. SC Dept of Natural Resources will contract for an independent quality review and accuracy assessment study of the elevation data and products generated for this project.
Using ArcGIS software, the contours are validated for correct topology, including must not intersect, must not self intersect, and must not have dangles - except for along the project boundary. Contours are then manually reviewed with the 3D breaklines to ensure complete coverage, correct coding, data integrity and that contours behave correctly around water bodies, water crossings, and elevated features such as overpasses.
2013-08-01
Josh Novac
Dewberry - Geospatial Services Group
Project Manager
813.421.8632
303.825.2322
1095 South Monaco Parkway
Denver
CO
80224
US
jnovac@dewberry.com
8:00 - 5:00 EST
Smoothed Contours
Final Contours
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. The swath data is tiled according to project specifications (5000 ft x 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. Before the actual ground routine is run points with scan angles greater than plus or minus 18 degrees are classified to class 11, withheld. Due to these higher scan angles these points have the potential to introduce issues into the ground and are therefore not used in the final 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 that are within 1 foot of the hydrographic features are moved to class 10, an ignored ground due to breakline proximity. 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 Class 11 = Withheld Points Class 13 = Bridges and Culverts The LAS header information was verified to contain the following: Class (Integer) Adjusted GPS Time (0.000001 seconds) Easting (0.001 ft) Northing (0.001 ft) Elevation (0.001 ft) Echo Number (Integer 1 to 4) Echo (Integer 1 to 4) Intensity (8 bit integer) Flight Line (Integer) Scan Angle (Integer degree)
2013-08-30
Josh Novac
Dewberry - Geospatial Services Group
Project Manager
813.421.8632
303.825.2322
1095 South Monaco Parkway
Denver
CO
80224
US
jnovac@dewberry.com
8:00 - 5:00 EST
Calibrated LiDAR Point Cloud LAS 1.2 format
Final Tiled LiDAR datasets
Data for the South Carolina Dept of Natural Resources project was acquired by Laser Mapping Specialist, Inc. (LMSI) The project area included approximately 785 contiguous square miles for Beaufort County, South Carolina. The data was delivered in the South Carolina State Plane (International Feet) coordinate system, horizontal datum NAD83 (NSRS 2007), vertical datum NAVD88, Geoid 09, Feet. Lidar ground points for each flightline generated by an automatic classification routine are used. LiDAR sensor data were collected with the Optech ALTM3100EA LiDAR system. No imagery was requested or delivered. Deliverables for the project included a raw (unclassified) calibrated LiDAR point cloud, survey control, and a final control report. Overall the LiDAR data products collected by LMSI meet or exceed the requirements set out in the Statement of Work. The quality control requirements of LMSIs quality management program were adhered to throughout the acquisition stage of this project to ensure product quality. LIDAR acquisition began on March 6, 2013 (julian day 065) and was completed on April 20, 2013 (julian day 079). A total of 16 survey missions were flown to complete the project. The flight plan was flown as planned with no modifications. There were no unusual occurrences during the acquisition and the sensor performed within specifications. There were 203 flight lines required to complete the project. Project coverage was checked on site with no data gaps except for water features. Two base stations were utilized. The base station in the north west portion of the project was named G7_203. The base station on the central portion of the project was named GG. Thirty (30) static points were surveyed at various locations throughout the project to be utilized for quality control and adjustment of the LiDAR data. All airborne trajectories were very high quality with forward/reverse separation between 2cm-5cm. All equipment performed within specifications with no unusual occurances or anamolies. All data was of a very high quality and the project was executed as planned.
2013-03-06
Laser Mapping Specialist, Inc.
(601) 857-0796
(601) 857-4181
118 South Oak Street
Raymond
MS
39154
US
Monday to Friday, 8 - 5, EST
Airborne Global Positioning System Data
Inertial Measurement Unit
Calibrated LiDAR Point Cloud LAS 1.2 format
Contours created from LiDAR data often contain large amounts of noise. This noise is reduced by using contour model key points; however, additional noise is removed by removing small closed contours that do not represent the tops of hills or bottoms of depressions.
2013-08-01
Josh Novac
Dewberry - Geospatial Services Group
Project Manager
813.421.8632
303.825.2322
1095 South Monaco Parkway
Denver
CO
80224
US
jnovac@dewberry.com
8:00 - 5:00 EST
Initial Contours
Cleaned Contours
Contour model key points are generated from the final LAS tiles. Contour model key points are intelligently thinned points that still depict all necessary breaks and changes in a surface but remove unnecessary or redundant points. The contour model key points are converted to a multipoint file and stored in an Arc Geodatabase (GDB). The 3D breaklines - Inland Lakes and Ponds, Single Line Drains, Tidal Waters, and Inland Streams and Rivers - are imported into the same GDB. A 100 ft buffered project boundary is also inmported. An ESRI Terrain is generated from these inputs. The surface type of each input is as follows: Model Key Point Multipoint: Masspoints Inland Lakes and Ponds: Hard Replace Tidal Waters: Hard Line Inland Streams and Rivers: Hard Line Single Line Drains: Hard Line Boundary: Soft Clip
2013-08-01
Josh Novac
Dewberry - Geospatial Services Group
Project Manager
813.421.8632
303.825.2322
1095 South Monaco Parkway
Denver
CO
80224
US
jnovac@dewberry.com
8:00 - 5:00 EST
Final Tiled LiDAR datasets
ESRI Contour Terrain
One foot contours were generated from the ESRI Terrain using ArcGIS software. Contours are labeled as intermediate or index with index contours set to every 5th interval.
2013-08-01
Josh Novac
Dewberry - Geospatial Services Group
Project Manager
813.421.8632
303.825.2322
1095 South Monaco Parkway
Denver
CO
80224
US
jnovac@dewberry.com
8:00 - 5:00 EST
ESRI Contour Terrain
Initial Contours
453900
Contours
Contours
Beaufort SC LiDAR Project SOW
Feature Class
453900
Shape_Length
Length of feature in internal units.
ESRI
NA
NA
NA
Positive real numbers that are automatically generated.
Shape_Length
Double
8
0
0
ContourType
Type of Contour-Intermediate or Index
ESRI
NA
NA
NA
ContourType
String
50
0
0
Shape
Feature geometry.
ESRI
NA
NA
NA
Coordinates defining the features.
Shape
Geometry
0
0
0
Contour
Elevation of Contour
ESRI
NA
NA
NA
Contour
Double
8
0
0
OBJECTID
Internal feature number.
ESRI
NA
NA
NA
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
0
0
dataset
EPSG
6.13(10.0.0)
Simple
FALSE
453900
TRUE
FALSE