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Short Citation:
OCM Partners, 2022: 2006 Fulton County Georgia Lidar, https://www.fisheries.noaa.gov/inport/item/49724.

Item Identification

Title: 2006 Fulton County Georgia Lidar
Short Name: ga2006_fultoncounty_m2526_metadata
Status: Completed
Publication Date: 2013-08-12
Abstract:

The Light Detection and Ranging (LiDAR) LAS dataset is a survey of Fulton County. The Fulton County LiDAR Survey project area consists of approximately 690.5 square miles. The LiDAR point cloud was flown at a density sufficient to support a maximum final post spacing of 5 meters for unobscured areas. 3001 Inc. acquired 75 flightlines between March 3, 2006 and March 6, 2006 and 120 flightlines were reflown between July 29, 2006 and August 4, 2006. The data was divided into 5000' by 5000' foot cells that serve as the tiling scheme. The Fulton County LiDAR Survey was collected under the guidance of a Professional Mapper/Surveyor.

Original contact information:

Contact Org: Ayres Associates

Phone: 608-443-1200

Purpose:

The Fulton County LiDAR Survey data will support the creation of Federal Emergency Management Agency Flood Insurance Rate Maps (FEMA FIRM) and an integrated ground and surface water model. The Fulton County LiDAR Survey was collected under the guidance of a Licensed and Professional Surveyor/Mapper.

Notes:

10369

Supplemental Information:

The metadata are not complete if the format is not compatible with ArcGIS 9, if it is not FDGC Compliant, and if copies of the survey report in PDF format are not delivered as an attachment. The information in this report are the result of the LiDAR surveys performed on the dates indicated and the general conditions at the time.

A footprint of this data may be viewed in Google Earth at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2526/supplemental/ga2006_fultoncounty.KMZ

A LiDAR Report from the vendor for this data set may be viewed here:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2526/supplemental/FultonCountyGA_QAreport.pdf

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
elevation
UNCONTROLLED
None TIN

Spatial Keywords

Thesaurus Keyword
UNCONTROLLED
Fulton County Carroll County
Fulton County City of Atlanta

Physical Location

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

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility

of the Fulton County Public Works Department, Ayres Associates, USGS, NOAA, the Office for Coastal Management or its partners.

Support Roles

Data Steward

CC ID: 674242
Date Effective From: 2013-08-12
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: 674244
Date Effective From: 2013-08-12
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: 674245
Date Effective From: 2013-08-12
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: 674243
Date Effective From: 2013-08-12
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: 1134259
W° Bound: -84.86636
E° Bound: -84.089227
N° Bound: 34.192198
S° Bound: 33.489459

Extent Group 1 / Time Frame 1

CC ID: 1134258
Time Frame Type: Range
Start: 2006-03-03
End: 2006-03-06

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Data Access Procedure:

This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer

The data set is dynamically generated based on user-specified parameters.

;

Data Access Constraints:

None

Data Use Constraints:

These unaltered data may not be redistributed without all of the elements of the metadata listed

in the Supplemental Information section of this metadata document. Acknowledgement of Ayres

Associates would be appreciated in products derived from these data.

Distribution Information

Distribution 1

CC ID: 740972
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=2526
Distributor:
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc.

Distribution 2

CC ID: 740973
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2526/index.html
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 740975
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 740976
URL: https://coast.noaa.gov
URL Type:
Online Resource

URL 3

CC ID: 740977
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2526/supplemental/ga2006_fultoncounty.KMZ
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz
Description:

This graphic shows the lidar coverage for the topography of Fulton County LiDAR survey area in Georgia.

Activity Log

Activity Log 1

CC ID: 674261
Activity Date/Time: 2016-05-23
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 674260
Activity Date/Time: 2017-11-14
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

CC ID: 718281
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 740974
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Data Quality

Accuracy:

Stream shore lines and 3-D coordinate line strings were collected as breaklines using LiDAR that was acquired and processed to FEMA specifications. These breaklines were created from on-screen digitizing using a combination of the LiDAR points and the orthophotography. Attributes were verified using routines that verify the vertical and horizontal positions of the breaklines.

Horizontal Positional Accuracy:

All ground control processing and adjustments are performed using published coordinate horizontal and vertical datums (e.g. NGS CORS). For deliverables, Corpscon for Windows Version 5.11.08 (geoid 99) has been used for horizontal and vertical datum conversion as well as for coordinate system conversion purposes (e.g. UTM to State Plane).; Quantitative Value: 3.3 meters, Test that produced the value: This value is computed by comparing ground control to an intensity based image derived from the classified LiDAR data and represents the RMSE of residuals on controls within the project area.

Vertical Positional Accuracy:

The accuracy assessment was performed using a standard method to compute the root mean square error (RMSE) based on a comparison of ground control points (GCP) and filtered LiDAR data points. Filtered LiDAR data has had vegetation and cultural features removed and by analysis represents bare earth elevations. Testing was performed prior to gridding of the filtered LiDAR data points and construction of the Intergraph .dtm file format. The RMSE figure was used to compute the vertical National Standard for Spatial Data Accuracy (NSSDA). Ground control was established by 3001, Inc. A spatial proximity analysis was used to select edited LiDAR data points contiguous to the relevant GCPs. A search radius decision rule is applied with consideration of terrain complexity, cumulative error and adequate sample size. Cumulative error results from the errors inherent in the various sources of horizontal measurement. These sources include the airborne GPS, GCPs and the uncertainty of the accuracy of the LiDAR data points. This accuracy is achieved prior to the sub-sampling that occurs through integration with the inertial measurement unit (IMU) positions that are recorded. It is unclear at this time whether the initial accuracy is maintained. The horizontal accuracy of the GCPs is estimated to be in the range of approximately 1 to 1.6 inches. Finally, sample size was considered. The specification for the National Standard for Spatial Data Accuracy is a minimum of 20 points to conduct a statistically significant accuracy evaluation (Minnesota Planning, 1999, Positional Accuracy Handbook, Minnesota Planning Land Management Information Center, St. Paul, Minnesota., p.3). Most statistical texts indicate that a minimum of 30 sample points provide a reasonable Approximation of a normal distribution. The intent of the NSSDA is to reflect the geographic area of interest and the distribution of error in the data set (Federal Geographic Data Committee, 1998, Geospatial National Standard for Spatial Data Accuracy, Federal Geographic Data Committee Secretariat, Reston, Virginia, p.3-4). Additional steps were taken to ensure the vertical accuracy Of the LiDAR data including: Step 1: Precision Bore sighting (Check Edge-matching) Step 2: Compare the LiDAR data to the Field Survey (Field survey is to FEMA specifications and more stringent internal specifications) Step 3: Automated Filtering Step 4: Manual Editing (Quality Control) Step 5: 3-D digitizing and Photogrammetric Compilation of hydrographic breaklines.; Quantitative Value: 0.0579 meters, Test that produced the value: This value is computed by comparing ground control elevation to the classified LiDAR ground surface and represents the RMSE of residuals on controls within the project area.

Completeness Report:

The LAS files were flown at a density sufficient to support a maximum final post spacing of 5 meters for unobscured areas. The bare-earth surface will contain voids in areas that were densely vegetated, covered by bridges, buildings, water, fresh asphalt, sand etc.

Conceptual Consistency:

The LAS files were flown at a density sufficient to support a maximum final post spacing of 5 meters for unobscured areas. 3001 Inc. acquired 75 flightlines between March 3, 2006 and March 6, 2006 and 120 flightlines were reflown between July 29, 2006 and August 4, 2006. The data was divided into 5000' by 5000' foot cells that serve as the tiling scheme. The Fulton County LiDAR Survey was collected under the guidance of a Professional Mapper/Surveyor.

Lineage

Sources

Fulton County LiDAR Survey

CC ID: 1134254
Publish Date: 2010-01-01
Extent Type: Range
Extent Start Date/Time: 2010-03-29
Extent End Date/Time: 2010-04-02
Source Contribution:

The Fulton County LiDAR Survey was acquired and processed by Ayres Associates and 3001, Inc. | Source Geospatial Form: Remote sensing image | Type of Source Media: digital tape media

Process Steps

Process Step 1

CC ID: 1134255
Description:

The ABGPS, IMU, and raw scans are integrated using proprietary software developed by the Leica Geosystems

and delivered with the Leica ALS50 System. The resultant file is in a LAS binary file format. The LAS

file version 1.0 format can be easily transferred from one file format to another. It is a binary file

format that maintains information specific to the LiDAR data (return#, intensity value, xyz, etc.). The

resultant points are produced in the State Plane Georgia West (FIPS 1002) coordinate system, with units

in feet and referenced to the NAD83 horizontal datum and NAVD88 vertical datum. Fulton County LiDAR Point

Cloud data sets LAS 1.0 file format.

The unedited data are classified to facilitate the application of the appropriate feature extraction filters.

A combination of proprietary filters are applied as appropriate for the production of bare earth digital

terrain models (DTMs). Interactive editing methods are applied to those areas where it is inappropriate

or impossible to use the feature extraction filters, based upon the design criteria and/or limitations

of the relevant filters. These same feature extraction filters are used to produce elevation height

surfaces.

Filtered and edited data are subjected to rigorous QA/QC. Very briefly, a series of quantitative and

visual procedures are employed to validate the accuracy and consistency of the filtered and edited

data. Ground control is established by 3001, Inc. and GPS-derived ground control points (GCPs) points

in various areas of dominant and prescribed land cover. These points are coded according to landcover,

surface material and ground control suitability. A suitable number of points are selected for calculation

of a statistically significant accuracy assessment as per the requirements of the National Standard

for Spatial Data Accuracy. A spatial proximity analysis is used to select edited LiDAR data points

within a specified distance of the relevant GCPs. A search radius decision rule is applied with

consideration of terrain complexity, cumulative error and adequate sample size. Accuracy validation

and evaluation is accomplished using proprietary software to apply relevant statistical routines for

calculation of Root Mean Square Error (RMSE) and the National Standard for Spatial Data Accuracy (NSSDA)

according to Federal Geographic Data Committee (FGDC) specifications.

The LiDAR mass points were delivered in American Society for Photogrammetry and Remote Sensing LAS 1.0

format. The header file for each dataset is complete as define by the LAS 1.0 specification. In addition

the following fields are included: Flight Date Julian, Year, and Class. The LAS files do not include

overlap. The data was classified as follows: Class 1 = Unclassified. This class includes vegetation,

buildings, noise etc. Class 1 = Unclassified, Class 2 = Ground. The datasets were delivered in Fulton County's

standard 5000' by 5000' tiling scheme.

The tiles are contiguous and do not overlap. The tiles are suitable for seamless topographic data mosaics

that include no "no data" areas. The names of the tiles are left padded with zeros as required to achieve

a five character length and all files utilize the LAS file extension.

Process Date/Time: 2010-04-01 00:00:00

Process Step 2

CC ID: 1134256
Description:

The NOAA Office for Coastal Management (OCM) received the files in las format. The files contained lidar elevation and intensity

measurements. The data were in GA State Plane coordinates and NAVD88 (orthometric) heights in feet. OCM performed the

following processing for data storage and Digital Coast provisioning purposes:

1. The data were converted from GA State Plane coordinates to geographic coordinates.

2. The data were filtered to remove outliers below 660 and 2050 feet.

3. The data were converted from NAVD88 (orthometric) heights in feet to GRS80 (ellipsoid) heights in meters using Geoid 03.

4. Attempts were made to find the water class (9) though data received had water reclassed to unclassed along with a number of ground points, therefore processing to pull out only water classes were thwarted.

5. The LAS data were sorted by latitude and the headers were updated.

Process Date/Time: 2012-08-01 00:00:00

Catalog Details

Catalog Item ID: 49724
GUID: gov.noaa.nmfs.inport:49724
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:21+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