2012 South Carolina DNR Lidar: Calhoun County
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:49995 | Updated: August 9, 2022 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2012 South Carolina DNR Lidar: Calhoun County, https://www.fisheries.noaa.gov/inport/item/49995.
Full Citation Examples
Towill Inc. collected LiDAR for over 3,300 square miles in Calhoun, Aiken, Barnwell, Edgefield, McCormick, and Abbeville counties in South Carolina. This metadata covers the LiDAR products for Calhoun County. The nominal pulse spacing for this project is 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. Withheld points were placed in class 11 and points on bridges were placed in class 13. Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro flattened DEMs for the 555 tiles (5000 ft x 5000 ft) that cover the project area.
Distribution Information
-
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
-
Simple download of data files.
None
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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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.
Controlled Theme Keywords
elevation
Child Items
No Child Items for this record.
Contact Information
Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-81.0605° W,
-80.4962° E,
33.88° N,
33.466° S
2012-03-07 - 2012-03-10
Item Identification
Title: | 2012 South Carolina DNR Lidar: Calhoun County |
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Short Name: | sc2012_scdnr_calhoun_m5105_metadata |
Status: | Completed |
Publication Date: | 2012-11 |
Abstract: |
Towill Inc. collected LiDAR for over 3,300 square miles in Calhoun, Aiken, Barnwell, Edgefield, McCormick, and Abbeville counties in South Carolina. This metadata covers the LiDAR products for Calhoun County. The nominal pulse spacing for this project is 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. Withheld points were placed in class 11 and points on bridges were placed in class 13. Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro flattened DEMs for the 555 tiles (5000 ft x 5000 ft) that cover the project area. |
Purpose: |
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). |
Notes: |
10639 |
Keywords
Theme Keywords
Thesaurus | Keyword |
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ISO 19115 Topic Category |
elevation
|
Temporal Keywords
Thesaurus | Keyword |
---|---|
UNCONTROLLED | |
None | 2012 |
Physical Location
Organization: | Office for Coastal Management |
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City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
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Maintenance Frequency: | As Needed |
Data Presentation Form: | las |
Entity Attribute Overview: |
LAS 1.2 format (classes 1,2,7,8,9,10,15,17) |
Entity Attribute Detail Citation: |
none |
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
Date Effective From: | 2012-11 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Distributor
Date Effective From: | 2012-11 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Metadata Contact
Date Effective From: | 2012-11 |
---|---|
Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Point of Contact
Date Effective From: | 2012-11 |
---|---|
Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Extents
Currentness Reference: | Ground Condition |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -81.0605 | |
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E° Bound: | -80.4962 | |
N° Bound: | 33.88 | |
S° Bound: | 33.466 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2012-03-07 |
End: | 2012-03-10 |
Spatial Information
Spatial Representation
Representations Used
Vector: | Yes |
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Access Information
Security Class: | Unclassified |
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Data Access Procedure: |
This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5105 The data set is dynamically generated based on user-specified parameters.; |
Data Access Constraints: |
None |
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
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5105 |
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Distributor: | |
File Name: | Customized Download |
Description: |
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. |
Distribution 2
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5105/index.html |
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Distributor: | |
File Name: | Bulk Download |
Description: |
Simple download of data files. |
URLs
URL 1
URL: | https://coast.noaa.gov/dataviewer |
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Name: | Data Access Viewer |
URL Type: |
Online Resource
|
Description: |
Custom download site for this and other lidar data. |
URL 2
URL: | https://coast.noaa.gov |
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URL Type: |
Online Resource
|
URL 3
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5105/supplemental/sc2012_scdnr_calhoun_m5105.kmz |
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Name: | Browse Graphic |
URL Type: |
Browse Graphic
|
File Resource Format: | kmz |
Description: |
This graphic shows the lidar coverage for the 2012 lidar project covering Calhoun County, South Carolina. |
Activity Log
Activity Log 1
Activity Date/Time: | 2016-10-25 |
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Description: |
Date that the source FGDC record was last modified. |
Activity Log 2
Activity Date/Time: | 2017-11-14 |
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Description: |
Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. |
Activity Log 3
Activity Date/Time: | 2018-02-08 |
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Description: |
Partial upload of Positional Accuracy fields only. |
Activity Log 4
Activity Date/Time: | 2018-03-13 |
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Description: |
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. |
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Vertical Positional Accuracy: |
Vertical Lidar data accuracy was tested against 20 open terrain check points. The result of the test is an RMSEz = 0.15 meters.; Quantitative Value: 0.15 meters, Test that produced the value: 15 cm RMSEz in open terrain. This same value was provided as for each county in the project area, therefore the distribution of this value may not be consistent. |
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. |
Lineage
Process Steps
Process Step 1
Description: |
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. |
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Process Date/Time: | 2012-02-01 00:00:00 |
Process Step 2
Description: |
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. |
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Process Date/Time: | 2012-03-01 00:00:00 |
Process Step 3
Description: |
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 Class 11 = Withheld Class 13 = Points Removed from Bridges 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) |
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Process Date/Time: | 2012-06-01 00:00:00 |
Process Step 4
Description: |
The NOAA Office for Coastal Management (OCM) received the files in LAS format from the South Carolina Department of Natural Resources (SC DNR) via a hard-drive device (HDD). The drive contained a number of South Carolina counties from a number of acquisition years. The files contained lidar elevation and intensity measurements. The data were in State Plane Zone 3900 in feet and NAVD88 (orthometric) vertical coordinates in feet. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The LAS files were compressed to LAZ files while also transforming the horizontal projection from State Plane coordinates in feet to geographic coordinates decimal degrees. 2. The LAZ files' vertical datum was converted from NAVD88 in feet (orthometric) to GRS80 (ellipsoid) heights in meters using Geoid 09. 3. The data were sorted by time and duplicates removed, updating the headers. |
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Process Date/Time: | 2016-08-25 00:00:00 |
Catalog Details
Catalog Item ID: | 49995 |
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GUID: | gov.noaa.nmfs.inport:49995 |
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 |