49986
2010 ARRA Lidar: Allendale County (SC)
sc2010_arra_allendale_m4801_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2011-05
Provide high density LiDAR elevation data map of Allendale County, SC. Provide Bare Earth DEM (vegetation removal) of Allendale County, SC.
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.
10630
The lidar report for this data set may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4801/supplemental/sc2010_arra_allendale_m4801_lidarreport.pdf
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4801/supplemental/sc2010_arra_allendale_m4801.kmz
Theme
ISO 19115 Topic Category
elevation
Theme
Surface
Theme
Terrain
Office for Coastal Management
Charleston
SC
Data Set
None planned
LAS
LAS 1.2
See process steps within this metadata record for specific methodology
Any conclusions drawn from the analysis of this information are not the responsibility of Sanborn, SC DNR, USGS, NOAA, the Office for Coastal Management or its partners.
Data Steward
2011-05
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2011-05
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2011-05
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2011-05
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-81.6202413
-81.0815631
33.1640676
32.7395654
Range
2010-03-19
2010-03-20
Yes
Unclassified
This data can be obtained on-line at the following URL:
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4801
The data set is dynamically generated based on user-specified parameters;
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
This dataset is not valid without the signed and sealed copy of the Florida Minimum Technical Standards Report
of Specific Purpose Survey dated 4/31/2008. Please refer to this document for user constraints.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4801
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4801/index.html
Bulk Download
Simple download of data files.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4801/supplemental/sc2010_arra_allendale_m4801.kmz
Browse Graphic
Browse Graphic
kmz
This graphic shows the lidar coverage for the 2010 ARRA lidar for Allendale County, SC.
https://coast.noaa.gov
Online Resource
https://coast.noaa.gov/dataviewer
Online Resource
2016-05-23
Date that the source FGDC record was last modified.
2017-11-14
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.
2018-02-08
Partial upload of Positional Accuracy fields only.
2018-03-13
Partial upload to move data access links to Distribution Info.
The flight missions were typically four or five hours in duration including runway calibration flights flown at the beginning and the end of each mission. During the data collection, the operator recorded information on log sheets which includes weather conditions, LiDAR operation parameters, and flight line statistics. Near the end of the mission GPS ambiguities are again resolved by flying within ten kilometers of the base stations, to aid in post-processing.
Table 2 shows the planned LiDAR acquisition parameters with a flying height of 1600 meters above ground level (AGL) for the Optech system on a mission to mission basis.
Federal Emergency Management Administration (FEMA) LiDAR Specifications; Quantitative Value: 1.00 meters, Test that produced the value: Processing accuracies and requirements
Federal Emergency Management Administration (FEMA) LiDAR Specifications; 15 cm RMSE; Quantitative Value: 0.15 meters, Test that produced the value: The LiDAR data was finalized by using both Bamberg County and Hampton County. The original NGS benchmarks for Allendale were not precise and sufficient enough to create a standalone accuracy assessment for this county. Instead, the entire Allendale County project was vertically shifted to meet the clients specifications. This process was completed by measuring the vertical shifts between the three counties and applying this offset to each tile in Allendale.
Complete
A minimum of two GPS base stations were set for the Allendale County project, which is within the project area or within the required baseline specifications of the project.
Pre-flight checks such as cleaning the sensor head glass are performed. A four minute INS initialization is conducted on the ground, with the engines running, prior to flight, to establish fine-alignment of the INS. GPS ambiguities are resolved by flying within ten kilometers of the base stations.
1
Data Collection:
Using an Optech Light Detection And Ranging (LiDAR) system, 91 flight lines of standard density (1.4 meter ground sample distance) data were collected over areas in Allendale, SC (approximately 412 square miles). Multiple returns were recorded for each laser pulse along with an intensity value for each return. The data acquisition occurred in 4 missions between March 19, 2010 , and March 20, 2010. During the LIDAR campaign, the Towill 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.
2010-03-19T00:00:00
2
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.
2010-04-01T00:00:00
3
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.
2010-04-01T00:00:00
4
LIDAR Point Classification
The classification and quality control (QC) of LiDAR data is carried out using TerraScan software by Terrasolid Limited of Helinski, Finland.
2010-05-01T00:00:00
5
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 (South Carolina, NAD83) in feet, NAVD88 (orthometric) heights in feet. OCM performed the following processing for data storage and Digital Coast provisioning purposes:
1. The LAS files were converted from SPCS coordinates to geographic coordinates.
2. Erroneous elevations were removed.
3. The LAS files were converted from NAVD88 (orthometric) heights in meters to GRS80 (ellipsoid) heights in meters using Geoid 09.
4. The LAS data were sorted by latitude and the headers were updated.
5. Metadata files and reports were requested from the South Carolina USGS liaison as the reports did not exist on the FTP site. They are now available from SC DNR and the Digital Coast.
2015-04-17T00:00:00
gov.noaa.nmfs.inport:49986
Anne Ball
2017-11-15T15:23:34
SysAdmin InPortAdmin
2022-08-09T17:11:37
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16