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Short Citation:
OCM Partners, 2022: 2010 Lidar DEM: Coastal Georgia, https://www.fisheries.noaa.gov/inport/item/52692.

Item Identification

Title: 2010 Lidar DEM: Coastal Georgia
Short Name: ga2010_coastal_dem_m8532_metadata.xml
Status: Completed
Abstract:

Between January and March 2010, lidar data was collected in southeast/coastal Georgia under a multi-agency partnership between the Coastal Georgia Regional Development Center, USGS, FEMA, NOAA and local county governments. Data acquisition is for the full extent of coastal Georgia, approximately 50 miles inland, excluding counties with existing high-resolution lidar derived elevation data. The data capture area consists of an area of approximately 5703 square miles. This project is within the Atlantic Coastal Priority Area as defined by the National Geospatial Program (NGP) and supports homeland security requirements of the National Geospatial-Intelligence Agency (NGA). This project also supports the National Spatial Data Infrastructure (NSDI) and will advance USGS efforts related to The National Map and the National Elevation Dataset.

The data were delivered in LAS format version 1.2 in 5000 x 5000 foot tiles. The data are classified according to ASPRS LAS 1.2 classification scheme:

Class 1 - Unclassified

Class 2 - Bare Earth

Class 7 - Low Point (Noise)

Class 9 - Water

Class 10 - Land below sea level

Class 12 - Overlap

LiDAR collected at 1.0 points per square meter (1.0m GSD) for the entire portion of coastal territory in southeast / coastal Georgia. This area was flown during snow free and leaf-off conditions within two hours of low tide.

In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEMs were created from, are also available. These data are available for custom download at the link provided in the URL section of this metadata record.

Hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.

Purpose:

Raster DEM files are used to show the Digital Elevation Model of the LAS Class 2 points. Breaklines can be incorporated into the DEM to show a more representative surface .

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
UNCONTROLLED
None DEM

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > GEORGIA
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE

Instrument Keywords

Thesaurus Keyword
UNCONTROLLED
Global Change Master Directory (GCMD) Instrument Keywords Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
AIRCRAFT
Global Change Master Directory (GCMD) Platform Keywords
DEM > Digital Elevation Model

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: Unknown
Data Presentation Form: Model (digital)
Entity Attribute Detail Citation:

All deliverables meet specifications in contract.

Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners

Data Set Credit: Photo Science and Fugro EarthData, Inc.

Support Roles

Data Steward

CC ID: 754349
Date Effective From: 2018-05-17
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

CC ID: 754350
Date Effective From: 2018-05-17
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

CC ID: 754351
Date Effective From: 2018-05-17
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

CC ID: 754352
Date Effective From: 2018-05-17
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

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1152017
W° Bound: -82.287032
E° Bound: -81.110785
N° Bound: 33.047219
S° Bound: 30.3654

Extent Group 1 / Time Frame 1

CC ID: 1152016
Time Frame Type: Range
Start: 2010-01-28
End: 2010-03-19

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for custom and bulk downloads.

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.

Distribution Information

Distribution 1

CC ID: 754356
Start Date: 2018-05-17
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8532
Distributor:
File Name: Customized Download
Description:

Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.

Compression: Zip

Distribution 2

CC ID: 754357
Start Date: 2018-05-17
End Date: Present
Download URL: https://coast.noaa.gov/htdata/raster2/elevation/GA_Coastal_DEM_2010_8532
Distributor:
File Name: Bulk Download
Description:

Bulk download of data files in the original coordinate system.

URLs

URL 1

CC ID: 754344
URL: https://coast.noaa.gov/
Name: NOAA's Office for Coastal Management (OCM) website
URL Type:
Online Resource
File Resource Format: HTML
Description:

Information on the NOAA Office for Coastal Management (OCM)

URL 2

CC ID: 754345
URL: https://coast.noaa.gov/dataviewer/
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML
Description:

The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.

URL 3

CC ID: 754346
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12a/577/supplemental/2010_CoastalGA_Elevation_Project_Lidar.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 4

CC ID: 754347
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12a/577/supplemental/CoastalGA_Final_Project_Report.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 5

CC ID: 754403
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12a/577/supplemental/CoastalGA_Final_QAQC_Report.pdf
Name: QA/QC Report
URL Type:
Online Resource
Description:

Link to QA/QC report.

URL 6

CC ID: 754404
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12a/577/breaklines/
Name: Hydro breaklines
URL Type:
Online Resource
Description:

Link to hydro breaklines.

URL 7

CC ID: 754405
URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=577
URL Type:
Online Resource
Description:

Link to custom download the lidar point data from which these raster Digital Elevation Model (DEM) data were created.

Technical Environment

Description:

MicroStation Version 8; TerraScan Version 10; Optech DASHMap 4.1801; TerraModeler Version 10;

GeoCue Version 6.1.21.4; ESRI ArcGIS 9.3.1; Global Mapper Version 11.02; ALS Post Processor 2.70 Build #15; Windows XP Operating System

Data Quality

Accuracy:

The project area requires LiDAR to be collected on average of 1.0 meter point spacing or better and vertical accuracy of 18.0 centimeters RMSE or better to support 2' contour generation when combined with breaklines.

Horizontal Positional Accuracy:

Compiled to meet a horizontal accuracy of 1.2 meters (4 ft) RMSE or better.

Vertical Positional Accuracy:

Compiled to meet National Standards for Spatial Data Accuracy; For this project, vertical accuracy at the 95% confidence interval must be 36 cm or less based on an RMSEz of 18 cm x 1.96.

The vertical accuracy assessment compares the measured survey checkpoint elevations with those of the TIN as generated from the bare-earth LiDAR. The X/Y locations of the survey checkpoints are overlaid on the TIN and the interpolated Z values of the LiDAR are recorded. These interpolated Z values are then compared with the survey checkpoint Z values and this difference represents the amount of error between the measurements. Once all the Z values are recorded, the Root Mean Square Error (RMSEz) is calculated and the vertical accuracy scores are interpolated from the RMSE value. The RMSEz equals the square root of the average of the set of squared differences between the dataset coordinate values and the coordinate values from the survey checkpoints.

Based on the vertical accuracy testing conducted by Dewberry using NSSDA and FEMA methodology, fundamental vertical accuracy (FVA) at the 95% confidence level (called Accuracyz) is computed by the formula RMSEz x 1.9600. The dataset for CGEP satisfies the criteria outlined in project specifications and tested 0.196 m in open terrain, based on RMSEz (0.10 m) x 1.9600 .

Completeness Report:

Datasets contain complete coverage of tiles.

Conceptual Consistency:

Bare-earth DEMs were tested by both Photo Science and Fugro EarthData for both vertical and horizontal accuracy. All data are seamless from one tile to the next, no gaps or no data areas.

Lineage

Sources

LiDAR

CC ID: 1152012
Publish Date: 2010-01-01
Extent Type: Range
Extent Start Date/Time: 2010-01-28
Extent End Date/Time: 2010-03-19
Source Contribution:

LiDAR points were used to produce the Bare-earth DEM.

Process Steps

Process Step 1

CC ID: 1152013
Description:

Photo Science, Inc. aquired Brantley, Camden, Charlton, and Wayne Counties. Fugro EarthData, Inc. acquired Bryan, Bulloch, Effingham, Long, McIntosh, and Screven Counties. Brantley and Wayne Counties were flown using an Optech Sensor. Bryan, Bulloch, Charlton, Effingham, Long, McIntosh, and Screven Counties were flown using a Leica Sensor. Both sensors were used on Camden County.

Applanix software was used in the post processing of the airborne GPS and inertial data that is critical to the positioning and orientation of the sensor during all flights. POSPac MMS provides the smoothed best estimate of trajectory (SBET) that is necessary for Optech's post processor to develop the point cloud from the LiDAR missions. The point cloud is the mathematical three dimensional collection of all returns from all laser pulses as determined from the aerial mission.

At this point this data is ready for analysis, classification, and filtering to generate a bare earth surface model in which the above ground features are removed from the data set. The point cloud was manipulated within the Optech or Leica software; GeoCue, TerraScan, and TerraModeler software were used for the automated data classification, manual cleanup, and bare earth generation from this data. Project specific macros were used to classify the ground and to remove the side overlap between parallel flight lines. All data were manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler.

Class 2 LIDAR was used to create a bare earth surface model. The surface model was then used to heads-up digitize 2D breaklines of inland streams and rivers. The National Elevation Dataset (1/3 arc-second) was used as a supplement to calculate streams with a contributing drainage area of greater than 1 square mile.

Inland Ponds, Lakes, and Mudflats of 0.5 acres or greater were also collected along with the Coastal Shoreline. Elevation values were assigned to all Inland Ponds, Lakes, and Shorelines using TerraModeler functionality. Elevation values were assigned to all Inland streams, rivers, and mudflats using Photo Science proprietary software.

All Class 2 LIDAR data inside of the collected breaklines were then classified to Class 9 using TerraScan macro functionality.

The breakline files were then translated to ESRI Shapefile format using ESRI conversion tools. Data was then run through additional macros to ensure deliverable classification levels matching LAS ASPRS Classification structure. GeoCue functionality was then used to ensure correct LAS Version. In house software was used as a final QA/QC check to provide LAS Analysis of the delivered tiles.

Buffered LAS files were created in GeoCue to provide overedge to the DEM creation. These tiles were then run through automated scripting within ArcMap and were combined with the Hydro Flattened Breaklines to create the 4' DEM. Final DEM tiles were clipped to the tile boundary in order to provide a seamless dataset.

A manual QA review of the tiles was completed in ArcMap to ensure full coverage with no gaps or slivers within the project area.

Process Date/Time: 2010-01-01 00:00:00

Process Step 2

CC ID: 1152014
Description:

The NOAA Office for Coastal Management (OCM) processed 1502 Digital Elevation Model (DEM) files. The data were in GA State Plane East coordinates in survey feet, NAVD88 (Geoid09) elevations in feet and in ESRI .adf format. The bare earth raster files were at a 4 ft grid spacing.

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. Converted the raster files from ESRI .adf format to .tif format using gdal_translate

2. Converted the raster files from elevations in feet to meters using gdal_translate

3. Copied the files to https

Process Date/Time: 2018-05-17 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 52692
GUID: gov.noaa.nmfs.inport:52692
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2018-05-17 16:00+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