2010 South Carolina DNR Lidar: Richland County
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:49983 | Updated: August 9, 2022 | Published / External
Item Identification
Title: | 2010 South Carolina DNR Lidar: Richland County |
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Short Name: | sc2010_DNR_richland_m4815_metadata |
Status: | Completed |
Publication Date: | 2015-03-10 |
Abstract: |
Provide high density LiDAR elevation data map of Richland County, SC. Provide Bare Earth DEM (vegetation removal) of Richland County, SC. |
Purpose: |
This LIDAR operation was designed to provide a high density set of masspoints within the defined areas. The data sets are suitable for the development of contours for use in hydraulic/hydrologic model development, and for assessing environmental impacts.Typical uses for the data set include: FEMA Flood Plain Map Modernization. DFIRM map updates. Watersheds and other hydro studies per FEMA specifications. County Mapping projects which include several uses, in addition to Flood mitigation assessment. Mapping projects that include accuracy verification, reporting and meta data. |
Notes: |
10627 |
Supplemental Information: |
A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4815/supplemental/sc2010_DNR_richland_m4815.kmz |
Keywords
Theme Keywords
Thesaurus | Keyword |
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ISO 19115 Topic Category |
elevation
|
UNCONTROLLED | |
None | Drainage Area |
None | Hydraulic |
None | Hydrographic |
None | Hydrology |
None | SC |
Temporal Keywords
Thesaurus | Keyword |
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UNCONTROLLED | |
None | 2010 |
None | March |
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 Note: |
None planned |
Data Presentation Form: | las |
Entity Attribute Overview: |
LAS 1.2 format (classes 1,2,7,8,9,15,18) |
Entity Attribute Detail Citation: |
none |
Distribution Liability: |
Any conclusions drawn from the analysis of this information are not the responsibility of Sanborn Map Company, SC DNR, NOAA, the Office for Coastal Management or its partners. |
Support Roles
Data Steward
Date Effective From: | 2015-03-10 |
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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: | 2015-03-10 |
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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: | 2015-03-10 |
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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 |
Point of Contact
Date Effective From: | 2015-03-10 |
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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 |
Extents
Currentness Reference: | Ground Condition |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -76.036588 | |
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E° Bound: | -75.228228 | |
N° Bound: | 38.055933 | |
S° Bound: | 37.057528 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2010-03-25 |
End: | 2010-03-30 |
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=4815 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 dataset was collected and some parts of this dataset may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. |
Distribution Information
Distribution 1
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4815 |
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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/geoid18/4815/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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URL Type: |
Online Resource
|
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/geoid18/4815/supplemental/sc2010_DNR_richland_m4815.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 2010 lidar project covering Richland County, South Carolina. |
Activity Log
Activity Log 1
Activity Date/Time: | 2016-05-23 |
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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: |
Federal Emergency Management Administration (FEMA) LiDAR Specifications; Quantitative Value: 1.0 meters, Test that produced the value: 100cm RMSE |
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Vertical Positional Accuracy: |
Federal Emergency Management Administration (FEMA) LiDAR Specifications; 15 cm RMSE; Quantitative Value: 0.120 meters, Test that produced the value: 12.0 cm RMSEz in open terrain |
Completeness Report: |
Complete |
Conceptual Consistency: |
None |
Lineage
Process Steps
Process Step 1
Description: |
Data Collection: Using a Leica Light Detection And Ranging (LiDAR) system, 152 flight lines of standard density (1.4 meter ground sample distance) data were collected over areas in Richland, SC (approximately 871.64 square miles). Multiple returns were recorded for each laser pulse along with an intensity value for each return. The data acquisition occurred in 16 missions between March 23, 2010 , and March 27, 2010. During the LIDAR campaign, the Sanborn field crew conducted a GPS field survey to establish final coordinates of the ground base stations for final processing of the base-remote GPS solutions. |
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Process Date/Time: | 2010-03-01 00:00:00 |
Process Step 2
Description: |
Airborne GPS Processing: Airborne GPS data was differentially processed and integrated with the post processed IMU data to derive a Smoothed Best Estimate of Trajectory (SBET). The SBET was used to reduce the LiDAR slant range measurements to a raw reflective surface for each flight line. The overlap between flight lines was removed to provide a homogeneous coverage, and the coverage was classified to extract a bare earth digital elevation model (DEM). Airborne GPS is differentially processed using the GrafNAV V7.50 software by Waypoint Consulting of Calgary, Alberta, Canada. The PDOP and distance separation is as follows: The classification and quality control (QC) of LiDAR data is carried out using TerraScan software by Terrasolid Limited of Helinski, Finland. |
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Process Date/Time: | 2010-04-01 00:00:00 |
Process Step 3
Description: |
IMU data Processing: IMU data provides information concerning roll, pitch and yaw of collection platform during collection event. IMU information allows the pulse vector to be properly placed in 3D space allowing the distance from the aircraft reference point to be properly positioned on the elevation model surface. The IMU data is processed using the PosPac V4.2 software by Applanix Corporation of Richmond Hill, Ontario, Canada. The reflective surface is derived using the ALS Post Processor software by Leica Geosystems GIS & Mapping Division of Atlanta, Georgia. |
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Process Date/Time: | 2010-04-01 00:00:00 |
Process Step 4
Description: |
LIDAR Point Classification The classification and quality control (QC) of LiDAR data is carried out using TerraScan software by Terrasolid Limited of Helinski, Finland. |
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Process Date/Time: | 2011-05-01 00:00:00 |
Process Step 5
Description: |
The NOAA Office for Coastal Management (OCM) received the files in laz format from SC DNR 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. Erroneous elevations were removed. 4. Class 10 (bridges and box culverts) were reclassed to Class 14. 5. Class 11 (road surface) were reclassed to Class 13. |
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Process Date/Time: | 2015-02-02 00:00:00 |
Catalog Details
Catalog Item ID: | 49983 |
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GUID: | gov.noaa.nmfs.inport:49983 |
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 |