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Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Activity Log
Data Quality
Lineage
Related Items
Catalog Details

Summary

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Short Citation
OCM Partners, 2024: 2012 Georgia Department of Natural Resources (GADNR) Topographic LiDAR: Floyd, Polk, Paulding and Oconee Counties, https://www.fisheries.noaa.gov/inport/item/49604.
Full Citation Examples

Abstract

TASK NAME:FY 2012 GEORGIA DNR ELEVATION DATA

NOAA Contract No. EA133C11CQ0010

Requisition No. NCNP0000-11-02615

Woolpert Order No. 71511

CONTRACTOR: Woolpert, Inc.

The PSFY12 GADNR Elevation Data Task Order involves: collecting and delivering topographic elevation point data derived from

multiple return light detection and ranging (LiDAR) measurements for portions of 4 counties in Georgia. The Statement of Work (SOW)

was developed by the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management (referred to as the Center)

in partnership with the Georgia Department of Natural Resources (GADNR) Environmental Protection Division (EPD). The counties

included Floyd, Polk, Paulding and Oconee. The purpose of the data is for use in coastal management decision making, including applications

such as flood plain mapping and water rights management.

LiDAR was collected at 1.0 points per square meter (1.0m GSD) for the portions of Floyd, Polk, Paulding and Oconee Counties.

This area was flown during snow free and leaf-off conditions.

Original contact information:

Contact Org: NOAA Office for Coastal Management

Phone: 843-740-1202

Email: coastal.info@noaa.gov

Distribution Information

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

  • LAS/LAZ - LASer

    Simple download of data files.

Access Constraints:

None

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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. These data depict the heights at the time of the survey and are only accurate for that time.

Controlled Theme Keywords

elevation

Child Items

No Child Items for this record.

Contact Information

Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Extents

Geographic Area 1

-85.26314° W, -83.249536° E, 34.367865° N, 33.681195° S

Time Frame 1
2012-03-06
Time Frame 2
2012-03-19
Time Frame 3
2012-03-20
Time Frame 4
2012-03-25
Time Frame 5
2012-03-26

Item Identification

Title: 2012 Georgia Department of Natural Resources (GADNR) Topographic LiDAR: Floyd, Polk, Paulding and Oconee Counties
Short Name: 2012_GADNR_LiDAR_FloydPolkPauldingOconeeCounties_m1420_metadata
Status: Completed
Publication Date: 2012-09-23
Abstract:

TASK NAME:FY 2012 GEORGIA DNR ELEVATION DATA

NOAA Contract No. EA133C11CQ0010

Requisition No. NCNP0000-11-02615

Woolpert Order No. 71511

CONTRACTOR: Woolpert, Inc.

The PSFY12 GADNR Elevation Data Task Order involves: collecting and delivering topographic elevation point data derived from

multiple return light detection and ranging (LiDAR) measurements for portions of 4 counties in Georgia. The Statement of Work (SOW)

was developed by the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management (referred to as the Center)

in partnership with the Georgia Department of Natural Resources (GADNR) Environmental Protection Division (EPD). The counties

included Floyd, Polk, Paulding and Oconee. The purpose of the data is for use in coastal management decision making, including applications

such as flood plain mapping and water rights management.

LiDAR was collected at 1.0 points per square meter (1.0m GSD) for the portions of Floyd, Polk, Paulding and Oconee Counties.

This area was flown during snow free and leaf-off conditions.

Original contact information:

Contact Org: NOAA Office for Coastal Management

Phone: 843-740-1202

Email: coastal.info@noaa.gov

Purpose:

This task order consisted of LiDAR data acquisition and processing for the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management (OCM) four Counties in Georgia: Floyd, Oconee, Paulding and Polk. The LiDAR data acquisition and processing for Floyd, Oconee,

Paulding and Polk Counties was performed in the Spring of 2012. The LiDAR data was provided to NOAA OCM, as part of the FY 2012 Georgia Elevation Data

task order. The task order area for Floyd, Polk, and Paulding Counties was approximately 460.6 square miles, and the task order area for Oconee County

was approximately 233.6 square miles The LiDAR data was collected to meet Fundamental Vertical Accuracy (FVA) Root Mean Square Error (RMSE) of 18.0 cm

or better at a 95% confidence level, so that when combined with breaklines, the data adequately supports the generation of two (2) foot FEMA compliant

contours. The final LiDAR data was delivered in 5,000' x 5,000' tiles using NAD 1983 (NSRS2007), Georgia State Plane Coordinate System, West Zone 1002.

Notes:

10248

Supplemental Information:

The reflective surface data represents the DEM created by the laser energy reflected from the first surface encountered by the laser pulse. Some energy

may continue beyond this initial surface, to be reflected by a subsequent surface as represented by the last return data. Intensity information is

captured from the reflective surface pulse and indicates the relative energy returned to the sensor, as compared to the energy transmitted. The

intensity image is not calibrated or normalized but indicates differences in energy absorption due to the interaction of the surface materials with

laser energy, at the wavelength transmitted by the sensor. The bare earth model is created by identifying the returns that fall on the ground surface

and by interpolating a surface between these points. In this manner, buildings and vegetation are removed from the bare earth model. This data set

does not include bridges and overpasses in the bare earth model as the delineation point for these structures is not reliably discernable in the LiDAR

data.

The third-party QA report for this data set may be accessed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1420/supplemental/2012_gadnr_lidar_Acquisition_Report.pdf

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

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1420/supplemental/2012_NOAA_Georgia_LiDAR_Footprints.kmz

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
elevation

Physical Location

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

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: As Needed
Data Presentation Form: las
Entity Attribute Overview:

LiDAR points in LAS 1.2 format

Entity Attribute Detail Citation:

none

Distribution Liability:

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

of Woolpert, NOAA, GADNR, the Office for Coastal Management or its partners.

Support Roles

Data Steward

CC ID: 669539
Date Effective From: 2012-09-23
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: 669541
Date Effective From: 2012-09-23
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: 669542
Date Effective From: 2012-09-23
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: 669540
Date Effective From: 2012-09-23
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: 1133330
W° Bound: -85.26314
E° Bound: -83.249536
N° Bound: 34.367865
S° Bound: 33.681195

Extent Group 1 / Time Frame 1

CC ID: 1133325
Time Frame Type: Discrete
Start: 2012-03-06

Extent Group 1 / Time Frame 2

CC ID: 1133326
Time Frame Type: Discrete
Start: 2012-03-19

Extent Group 1 / Time Frame 3

CC ID: 1133327
Time Frame Type: Discrete
Start: 2012-03-20

Extent Group 1 / Time Frame 4

CC ID: 1133328
Time Frame Type: Discrete
Start: 2012-03-25

Extent Group 1 / Time Frame 5

CC ID: 1133329
Time Frame Type: Discrete
Start: 2012-03-26

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Security Classification System:

Unclassified

Security Handling Description:

Unclassified

Data Access Procedure:

This data can be obtained through the online application https://coast.noaa.gov/dataviewer. Custom processing can be done for small areas or there is a bulk download link to get the full dataset.

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. These data depict the heights at the time of the survey and are only accurate for that time.

Distribution Information

Distribution 1

CC ID: 740284
Start Date: 2012-09-03
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1420
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2012-09-23 - Present)
File Name: Customized Download
Description:

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

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 740285
Start Date: 2012-09-03
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1420/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2012-09-23 - Present)
File Name: Bulk Download
Description:

Simple download of data files.

File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip

URLs

URL 1

CC ID: 740287
URL: https://coast.noaa.gov/dataviewer
Name: Data Access Viewer
URL Type:
Online Resource
Description:

Application to provide custom processing of datasets.

URL 2

CC ID: 740289
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1420/supplemental/2012_NOAA_Georgia_LiDAR_Footprints.kmz
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz
Description:

This graphic shows the lidar coverage for Polk County, Paulding County, Floyd County and Oconee County in Georgia.

URL 3

CC ID: 885767
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1420/supplemental/2012_gadnr_lidar_Acquisition_Report.pdf
Name: Acquistion Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Report from the lidar contractor.

URL 4

CC ID: 885768
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1420/breaklines/GA_Flyod_Paulding_Oconee.zip
Name: Breaklines
URL Type:
Online Resource
File Resource Format: zip
Description:

Breaklines for the counties in GDB format. Breaklines have not been evaluated by NOAA.

Activity Log

Activity Log 1

CC ID: 669562
Activity Date/Time: 2016-05-23
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 669561
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: 718044
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 740286
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Data Quality

Accuracy:

The LiDAR collected for this task order was collected to meet a Fundamental Vertical Accuracy (FVA) of NSSDA RMSEZ = 18cm (NSSDA AccuracyZ 95% = 30cm) or better; assessment procedures to comply with FEMA, NSSDA, NDEP, and ASPRS guidelines.

Horizontal Positional Accuracy:

Horizontal accuracy is +/- 4 foot at the 95% confidence level using RMSE(r) x 1.7308 when compared to the classified lidar, as defined by the FGDC Geospatial Positional Accuracy Standards, Part 3: NSSDA. LiDAR system calibration is available in the project report.

Vertical Positional Accuracy:

The LiDAR data vertical accuracy RMSE is 5.7 cm (0.188 ft) when compared to the classified lidar.

The data collected under this Task Order meets the FEMA, NSSDA, NDEP, and ASPRS guidelines for accuracy standards. These standards specify that

vertical accuracy be reported at the 95 percent confidence level for data tested by an independent source of higher accuracy.

(http://www.fgdc.gov/standards/projects/FGDC-standards-projects/accuracy/part3/index_html). 46 survey control points were used for lidar processing

The Fundamental Vertical Accuracy (FVA) of the TIN: 11.2 cm (0.368 ft) at a 95% confidence level, derived according to NSSDA. Forty-Six (46)

control points were were surveyed by Woolpert survey crews and used for the lidar processing and accuracy reporting. The control points and their

coordinates can be found in section 6 of the lidar processing report.

Vertical Accuracy Statistics Floyd, Polk and Paulding Counties, Georgia:

Tested 0.399 feet fundamental vertical accuracy at 95 percent confidence level when compared to the classified lidar in open terrain using RMSE(z) x 1.9600.

Vertical Accuracy Statistics Oconee County, Georgia:

Tested 0.352 feet fundamental vertical accuracy at 95 percent confidence level when compared to the classified lidar in open terrain using RMSE(z) x 1.9600

OVERALL Vertical Accuracy Statistics Floyd, Polk, Paulding and Oconee Counties, Georgia:

Tested 0.368 feet fundamental vertical accuracy at 95 percent confidence level when compared to the classified lidar in open terrainusing RMSE(z) x 1.9600.

Completeness Report:

The LiDAR data is visually inspected for completeness to ensure that are no gaps between flight lines.

Conceptual Consistency:

All formatted data are validated using commercial GIS software to ensure proper formatting and loading prior to delivery.

Lineage

Lineage Statement:

Data were collected and processed by Woolpert for Georgia DNR through a NOAA contract vehicle. Data are made available through the NOAA Digital Coast.

Sources

FY 2012 GEORGIA DNR ELEVATION DATA

CC ID: 1133318
Publish Date: 2012-09-23
Extent Type: Discrete
Extent Start Date/Time: 2012-03-06
Source Contribution:

The LiDAR data collected for this task order. | Source Geospatial Form: vector digital data | Type of Source Media: disc

Process Steps

Process Step 1

CC ID: 1133319
Description:

Using a Leica LiDAR system, 84 flight lines of high density data, at a nominal pulse spacing (NPS) of 1.0 meter, were collected over Floyd, Oconee, Paulding and Polk Counties, GA (approximately 694.2 square miles). Multiple returns were recorded for each laser pulse along with an intensity value for each return. A total of five (5) missions were flown on March 6, 19, 20, 25 and 26 in 2012. The geoid used to reduce satellite derived elevations to orthometric heights was Geoid09. The horizontal datum used for this survey is NAD 1983 NSRS2007, Georgia State

Plane Coordinate System, West Zone 1002, and expressed in US Survey Feet. The vertical datum used for this survey is North American Vertical Datum 1988 (NAVD88), and expressed in US Survey Feet. 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 aerial LiDAR was collected at the following sensor specifications for the Oconee County Project:

Post Spacing (Minimum): 3.28 ft / 1.0 m

AGL (Above Ground Level) average flying height: 6,500 ft / 1,981 m

MSL (Mean Sea Level) average flying height: 6,940 ft / 2,115 m

Average Ground Speed: 130 knots / 149 mph

Field of View (full): 40 degrees

Pulse Rate: 115.6 kHz

Sensor Scan Rate: 41.8 Hz

Side Lap (Minimum): 25%

Flight Lines Flown at these specifications: 1 - 27 (All)

The aerial LiDAR was collected at two different sensor specifications for the Floyd, Polk, and Paulding Counties Project: Those LIDAR flight lines that entered the Atlanta Class B Airspace restriction area were flown at a lower altitude specification in order to maintain an altitude of 6500 feet MSL. These instructions were mandated by Atlanta Tracon.

Post Spacing (Minimum): 3.28 ft / 1.0 m

AGL (Above Ground Level) average flying height: 6,500 ft / 1,981 m

MSL (Mean Sea Level) average flying height: 7,075 ft / 2,156 m

Average Ground Speed: 130 knots / 149 mph

Field of View (full): 40 degrees

Pulse Rate: 115.6 kHz

Sensor Scan Rate: 41.8 Hz

Side Lap (Minimum): 25%

Flight Lines Flown at these specifications: 1 - 20

Post Spacing (Minimum): 3.28 ft / 1.0 m

AGL (Above Ground Level) average flying height: 5,925 ft / 1,825 m

MSL (Mean Sea Level) average flying height: 6,500 ft / 1,981 m

Average Ground Speed: 130 knots / 149 mph

Field of View (full): 44 degrees

Pulse Rate: 124.0 kHz

Sensor Scan Rate: 43.1 Hz

Side Lap (Minimum): 25%

Flight Lines Flown at these specifications 21 - 57

Process Date/Time: 2012-03-06 00:00:00

Process Step 2

CC ID: 1133320
Description:

The Leica ALS50/60 LiDAR systems calibration and performance is verified on a periodic basis using Woolpert's calibration range. The calibration range consists of a large building and runway. The edges of the building and control points along the runway have been located using conventional survey methods. Inertial measurement unit (IMU) misalignment angles and horizontal accuracy are calculated by comparing the position of the building edges between opposing flight lines. The scanner scale factor and vertical accuracy is calculated through comparison of LiDAR data against control points along the runway. Field calibration is performed on all flight lines to refine the IMU misalignment angles. IMU misalignment angles are calculated from the relative displacement of features within the overlap region of adjacent (and opposing) flight lines. The raw LiDAR data is reduced using the refined misalignment angles.

Process Date/Time: 2011-12-13 00:00:00

Process Step 3

CC ID: 1133321
Description:

Once the data acquisition and GPS processing phases are complete, the LiDAR data was processed immediately to verify the coverage had no voids. The GPS and IMU data was post processed using differential and Kalman filter algorithms to derive a best estimate of trajectory. The quality of the solution was verified to be consistent with the accuracy requirements of the task order.

Process Date/Time: 2012-03-26 00:00:00

Process Step 4

CC ID: 1133322
Description:

The individual flight lines were inspected to ensure the systematic and residual errors have been identified and removed. Then, the flight lines were compared to adjacent flight lines for any mismatches to obtain a homogenous coverage throughout the project area. The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" LiDAR returns. This process determined bare-earth points (Class 2), noise (Class 7), water (Class 9) ignored ground (Class 10), unclassified data (Class 1), and overlap points (Class 12). The bare-earth (Class 2 - Ground) LiDAR points underwent a manual QA/QC step to verify that artifacts have been removed from the bare-earth surface. The surveyed ground control points are used to perform the accuracy checks and statistical analysis of the LiDAR dataset.

Process Date/Time: 2012-09-01 00:00:00
Source: FY 2012 GEORGIA DNR ELEVATION DATA

Process Step 5

CC ID: 1133323
Description:

The NOAA Office for Coastal Management (OCM) received topographic files in LAS format. The files contained lidar elevation and intensity measurements. The data were received in Georgia State Plane West 1002 (NAD83) coordinates and were vertically referenced to NAVD88 using the Geoid09 model. The vertical units of the data were feet. OCM performed the following processing for data storage and Digital Coast provisioning purposes:

1. The topographic las files were converted from orthometric (NAVD88) heights to ellipsoidal heights using Geoid09.

2. The topographic las files' vertical units were converted from survey feet to meters.

3. The topographic las files were converted from a Projected Coordinate System (GA SPW 1002) to a Geographic Coordinate system (GCS).

4. The topographic las files' horizontal units were converted from survey feet to decimal degrees.

Process Date/Time: 2012-12-01 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Phone (Voice): (843) 740-1202
Email Address: coastal.info@noaa.gov
Source: FY 2012 GEORGIA DNR ELEVATION DATA

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2012 GA DNR Lidar DEM: Floyd, Paulding, Oconee, and Polk Counties

DEM derived from this point cloud

Catalog Details

Catalog Item ID: 49604
GUID: gov.noaa.nmfs.inport:49604
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: 2023-10-17 16:12+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