49836
2014 NCFMP Lidar: Statewide North Carolina (Phase 1)
nc2014_ncfmp_phaseI_m4954_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2015-01-23
Geographic Extent: North Carolina Area of Interest for Sandy, covering approximately 9,396 square miles.
Dataset Description: The North Carolina - Sandy LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of North Carolina State Plane Coordinate System, NAD83, survey feet and vertical datum of NAVD1988 (GEOID12A), survey feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.3 Files formatted to 12138 individual 5000ft x 5000ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 5000ft x 5000ft schema, and Breaklines in ESRI File-Geodatabase format.
Ground Conditions: LiDAR was collected in Spring 2014, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Photo Science established a total of 282 QA control points and 161 Land Cover control points that were used to calibrate the LIDAR to known ground locations established throughout the North Carolina - Sandy project area.
Original contact information:
Contact Name: Michael Shillenn
Contact Org: Photo Science, Inc., Data Acquisition Department
Phone: 859-277-8700
Email: mshillenn@photoscience.com
Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 5 feet cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, hydro-flattened DEMs as necessary.
10480
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4954/supplemental/nc2014_ncfmp_phaseI_m4954.kmz
A report details this project is available at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4954/supplemental/nc2014_ncfmp_phaseI_m4954_lidarreport.pdf
Theme
ISO 19115 Topic Category
elevation
Theme
Surface
Theme
Terrain
Office for Coastal Management
Charleston
SC
Data Set
Unknown
Files in LAZ format (classified as 1,2,3,4,5,6,7,9,10,14,17,18,25)
none
Any conclusions drawn from the analysis of this information are not the responsibility of NCFMP, Photo Science, the NOAA Office for Coastal Management, or its partners.
Acknowledgement of the North Carolina Floodplain Mapping Program is appreciated when using the data set. This data set was developed for the
North Carolina Floodplain Mapping Program by EarthData International of North Carolina. Parts of the raw data acquisition were subcontracted
to Horizons Inc. and 3001 Inc.
Data Steward
2015-01-23
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
2015-01-23
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
2015-01-23
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
2015-01-23
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
-79.241832
-75.451653
36.563854
34.464308
Range
2014-01-06
2014-11-21
Yes
Unclassified
This data can be obtained on-line at the following URL:
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4954;
None
None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no Longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of it's limitations. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4954
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/geoid18/4954/index.html
Bulk Download
Simple download of data files.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4954/supplemental/nc2014_ncfmp_phaseI_m4954.kmz
Browse Graphic
Browse Graphic
kmz
This graphic shows the lidar coverage for Phase 1 counties in North Carolina, from 2014 as part of the statewide lidar collection.
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 specifications require that only Fundamental Vertical Accuracy (FVA) be computed for raw lidar point cloud swath files.
The vertical accuracy value is the AccuracyZ at 95 percent Confidence Interval in feet. The FVA was tested using 282 independent survey located in open terrain. The survey checkpoints were distributed throughout the project area. The 282 independent check points were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control. AccuracyZ has been tested to meet 18.13 cm Fundamental Vertical Accuracy at 95 Percent confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.
; Quantitative Value: 0.117 meters, Test that produced the value: 0.386 feet (11.7 cm) AccuracyZ at 95 percent Confidence Interval. The FVA was tested using 282 independent survey located in open terrain. The survey checkpoints were distributed throughout the project area. The 282 independent check points were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control. The RMSE was computed to be 0.197 feet. AccuracyZ has been tested to meet 18.13 cm Fundamental Vertical Accuracy at 95 Percent confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.
Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data passes Fundamental Vertical Accuracy specifications.
Classified LAS files were tested by Photo Science for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas.
1
Classified LAS Processing: The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through heads-up digitization.
All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 3 feet was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. Bridge decks were classified as Class 13 and Overlap water point were classified as Class 25.
All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified to Class 17 (Overlap Default) and Class 18 (Overlap Ground). These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS through numerous conference calls and pilot study areas.
All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper us used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Photo Science proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.
2014-01-01T00:00:00
2
The NOAA Office for Coastal Management (OCM) received the topographic files in LAS format from USACE. The files contained lidar in North Carolina State Plane coordinates (SPCS 3200, ft) and elevation (NAVD88, ft). OCM performed the following processing for data storage and Digital Coast provisioning purposes:
1. Class 13 points (Bridge Decks) were reclassified to Class 14 to better fit OCM DAV class scheme.
2. LAS files were converted to NAVD88 orthometric heights then to ellipsoidal Geoid12a vertical coordinates.
3. LAS files were then converted from state plane coordinates to geographic coordinates.
4. The naming scheme for each tile was changed; the data created suffix was removed, instead the gps collection date was appended as a prefix.
5. Duplicate points were removed and compressed to LAZ format.
2015-09-22T00:00:00
gov.noaa.nmfs.inport:49836
Anne Ball
2017-11-15T15:22:38
SysAdmin InPortAdmin
2022-08-09T17:11:36
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16