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Short Citation:
OCM Partners, 2024: 2020 USGS Lidar DEM: Savannah Pee Dee, SC, https://www.fisheries.noaa.gov/inport/item/65959.

Item Identification

Title: 2020 USGS Lidar DEM: Savannah Pee Dee, SC
Short Name: 2020 Savannah Pee Dee DEM m9437
Status: Completed
Creation Date: 2020
Publication Date: 2020-09-04
Abstract:

Product: Lidar based digital elevation model (DEM) data tiles for ground classified points.

Geographic Extent: Approximately 21,453 square miles across South Carolina;

Block 1 (Lot 6 QL2) - approximately 3,583 square miles in Anderson, Cherokee, Greenville, Laurens, Newberry, Oconee, Pickens, Spartanburg, and Union counties

Block 2 (Lot 7 QL1) - approximately 950 square miles in Greenville and Lexington counties

Block 3 (Lot 7 QL2) - approximately 3435 square miles in Abbeville, Aiken, Anderson, Edgefield, Greenwood, Laurens, McCormick, Newberry, Oconee, and Saluda counties

Block 4 (Lot 8 QL1) - approximately 135 square miles in Aiken and Edgefield counties

Block 5 (Lot 8 QL2) - approximately 5,775 square miles in Aiken, Allendale, Bamberg, Barnwell, Calhoun, Chester, Chesterfield, Clarendon, Colleton, Edgefield, Fairfield, Hampton, Kershaw, Lancaster, Lee, Lexington, McCormick, Newberry, Orangeburg, Richland, Saluda, and Sumter counties

Block 6 (Lot 9 QL2) - approximately 7,255 square miles in Bamberg, Beaufort, Berkeley, Charleston, Chesterfield, Clarendon, Colleton, Darlington, Dillon, Dorchester, Florence, Georgetown, Hampton, Horry, Jasper, Kershaw, Lee, Marion, Marlboro, Orangeburg, Sumter, and Williamsburg counties

Block 7 (Lot 9 QL1) - approximately 689 square miles in Beaufort, Berkeley, Charleston, Colleton, Darlington, Dorchester, Florence counties

Dataset Description: The SC Savannah Pee Dee 2019 B19 lidar project called for the planning, acquisition, processing, and production of derivative products of QL 1 and QL2 lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 and 0.71 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal datum/projection of NAD83 (2011) State Plane South Carolina (FIPS 3900) International Feet (EPSG 6570), and a vertical datum of NAVD88 (GEOID18) US Survey Feet. Lidar data was delivered as processed LAS 1.4 files formatted to individual 5,000-Int'l. foot x 5,000-Int'l. foot tiles.

Ground Conditions: Lidar was collected January through March 2020 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 and meet ASPRS vertical accuracy guidelines, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. Additional independent accuracy checkpoints were collected and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

Purpose:

This project will support the 3DEP mission, the Natural Resources Conservation Service (NRCS) high resolution elevation enterprise program, and the Federal Emergency Management Agency (FEMA) Risk Mapping, Assessment and Planning (MAP) program, as well as many South Carolina state and local agencies.

Supplemental Information:

USGS Contract No. G16PC00022, Task Order No. 140G0219F0339. Contractor: Woolpert. Sub-contractors: GRW, Inc., SurvTech Solutions, Florabama Geospatial Solutions, LLC (FGS).

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS NGP Base Specifications v1.3",

"ldrsens" : "Leica Terrain Mapper",

"ldrmaxnr" : "15",

"ldrnps" : "0.71",

"ldrdens" : "2",

"ldranps" : "0.71",

"ldradens" : "2",

"ldrfltht" : "2500",

"ldrfltsp" : "150",

"ldrscana" : "40",

"ldrscanr" : "90",

"ldrpulsr" : "600",

"ldrpulsd" : "5",

"ldrpulsw" : "2.5",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.25",

"ldrswatw" : "1820",

"ldrswato" : "25",

"ldrgeoid" : "GEOID18"

},

"ldraccur" : {

"ldrchacc" : "0",

"rawnva" : "0",

"rawnvan" : "0"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Geometrically unreliable points were identified using a combination of automated and manual techniques and subsequently classified as high or low noise and given the standard Withheld bit.",

"lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed but not classified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare earth ground"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge decks"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignored ground"

}

}}

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
ISO 19115 Topic Category
elevation
UNCONTROLLED
None DEM
None digital elevation model
None Elevation Data
None laser
None lidar
None Remote Sensing
None Topography

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > SOUTH CAROLINA
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
UNCONTROLLED
None Abbeville County
None Aiken County
None Allendale County
None Anderson County
None Bamberg County
None Barnwell County
None Beaufort County
None Berkeley County
None Calhoun County
None Charleston County
None Cherokee County
None Chester County
None Chesterfield County
None Clarendon County
None Colleton County
None Darlington County
None Dillon County
None Dorchester County
None Edgefield County
None Fairfield County
None Florence County
None Georgetown County
None Greenville County
None Greenwood County
None Hampton County
None Horry County
None Jasper County
None Kershaw County
None Lancaster County
None Laurens County
None Lee County
None Lexington County
None Marion County
None Marlboro County
None McCormick County
None Newberry County
None Oconee County
None Orangeburg County
None Pickens County
None Richland County
None Saluda County
None Spartanburg County
None Sumter County
None U.S. Coastline
None Union County
None Williamsburg County

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane

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: None Planned
Data Presentation Form: Model (digital)
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: Woolpert, USGS

Support Roles

Data Steward

CC ID: 1111968
Date Effective From: 2021
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: 1111967
Date Effective From: 2021
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: 1111971
Date Effective From: 2021
Date Effective To:
Contact (Organization): U.S. Geological Survey
Address: 12201 Sunrise Valley Drive
Reston, VA 20191
USA
URL: USGS Home

Metadata Contact

CC ID: 1111969
Date Effective From: 2021
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: 1111970
Date Effective From: 2021
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: 1112008
W° Bound: -83.363118
E° Bound: -79.070394
N° Bound: 35.219515
S° Bound: 32.020958

Extent Group 1 / Time Frame 1

CC ID: 1112006
Time Frame Type: Range
Start: 2020-01-01
End: 2020-02-03
Description:

Dates of collection for Block 1 (Lot 6) in Anderson, Cherokee, Greenville, Laurens, Newberry, Oconee, Pickens, Spartanburg, and Union counties and Block 3 (Lot 7, QL2) in Abbeville, Aiken, Anderson, Edgefield, Greenwood, Laurens, McCormick, Newberry, Oconee, and Saluda counties.

Extent Group 1 / Time Frame 2

CC ID: 1112007
Time Frame Type: Range
Start: 2020-01-05
End: 2020-03-20
Description:

Dates of collection for Block 6 (Lot 9, QL2) in Bamberg, Beaufort, Berkeley, Charleston, Chesterfield, Clarendon, Colleton, Darlington, Dillon, Dorchester, Florence, Georgetown, Hampton, Horry, Jasper, Kershaw, Lee, Marion, Marlboro, Orangeburg, Sumter, and Williamsburg counties.

Extent Group 1 / Time Frame 3

CC ID: 1112002
Time Frame Type: Discrete
Start: 2020-01-20
Description:

Dates of collection for Block 4 (Lot 8, QL1) in Aiken and Edgefield counties.

Extent Group 1 / Time Frame 4

CC ID: 1112003
Time Frame Type: Range
Start: 2020-01-05
End: 2020-01-22
Description:

Dates of collection for Block 2 (Lot 7, QL1) in Greenville and Lexington counties.

Extent Group 1 / Time Frame 5

CC ID: 1112004
Time Frame Type: Range
Start: 2020-01-05
End: 2020-01-29
Description:

Dates of collection for Block 5 (Lot 8, QL2) in Aiken, Allendale, Bamberg, Barnwell, Calhoun, Chester, Chesterfield, Clarendon, Colleton, Edgefield, Fairfield, Hampton, Kershaw, Lancaster, Lee, Lexington, McCormick, Newberry, Orangeburg, Richland, Saluda, and Sumter counties.

Extent Group 1 / Time Frame 6

CC ID: 1112005
Time Frame Type: Range
Start: 2020-01-20
End: 2020-03-12
Description:

Dates of collection for Block 7 (Lot 9, QL1) in Beaufort, Berkeley, Charleston, Colleton, Darlington, Dorchester, Florence counties.

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Reference Systems

Reference System 1

CC ID: 1112009

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:6570
EPSG Name: NAD83(2011) / South Carolina (ft)
See Full Coordinate Reference System Information

Reference System 2

CC ID: 1112017

Coordinate Reference System

CRS Type: Vertical
EPSG Code: EPSG:8228
EPSG Name: NAVD88 height (ft)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk and custom 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: 1111972
Start Date: 2021-12-03
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9437/details/9437
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2021 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 1111973
Start Date: 2021-12-03
End Date: Present
Download URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/SC_SavannahPeeDee_2019_B19/
Distributor: U.S. Geological Survey (2021 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in Tiff format, SC State Plane (FIPS 3900) NAD83 (2011) International feet with vertical feet. These files are owned and maintained by the USGS. These have not been reviewed by OCM and the link is provided here for convenience.

File Type (Deprecated): GeoTIFF (.tif)
Distribution Format: GeoTIFF

URLs

URL 1

CC ID: 1111974
URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/SC_SavannahPeeDee_2019_B19/
Name: USGS Metadata folder
URL Type:
Online Resource
File Resource Format: Folder
Description:

Link to folder of reports and metadata. Includes breaklines.

URL 2

CC ID: 1111978
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.

Technical Environment

Description:

Microsoft Windows 10 Version 1803 (Build 17134.1304); ArcMap 10.7; ArcCatalog 10.7; TerraScan ver. 20; TerraModeler ver. 20; LP360 v2019.1.30.4.

Data Quality

Horizontal Positional Accuracy:

Blocks 1, 3, 5, 6

The data sets was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 18.6 cm RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 45.5 cm at a 95% confidence level.

Blocks 2, 4, 7

The data sets was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 14.5 cm RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 35.5 cm at a 95% confidence level.

Vertical Positional Accuracy:

This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.

USGS Determined Vertical Accuracy:

NVA = 8.7 cm at 95% confidence level (4.4 cm RMSEz)

VVA = 20.18 cm at 95th Percentile

Please refer to the USGS Work Package report (link provided in URL section of this metadata record) for more information.

Completeness Report:

These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist.

Conceptual Consistency:

Data covers the entire area specified for this project.

Data Management

Have Resources for Management of these Data Been Identified?: Yes
Approximate Percentage of Budget for these Data Devoted to Data Management: Unknown
Do these Data Comply with the Data Access Directive?: Yes
Actual or Planned Long-Term Data Archive Location: NCEI-CO
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to tape and to cloud storage.

Lineage

Lineage Statement:

The NOAA Office for Coastal Management (OCM) ingested references to the USGS Cloud Optimized GeoTIFF files hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the DEM as it resides on AWS under the prd-tnm bucket.

Sources

USGS GeoTiff files on AWS

CC ID: 1112018
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/SC_SavannahPeeDee_2019_B19/
Citation URL Name: GeoTiff Data Files
Citation URL Description:

Top of the folder of data files

Process Steps

Process Step 1

CC ID: 1111998
Description:

Lidar Point Cloud Classification: 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 Processed, but Unclassified (Class 1), Bare Earth Ground (Class 2), Low Noise (Class 7), Water (Class 9), Bridge Decks (Class 17), High Noise (Class 18), and Ignored Ground (Class 20). The bare-earth (Class 2 - Ground) lidar points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through a semi-automated process. All ground (Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (Class 9) using TerraScan/LP360 macro functionality. A buffer of 0.7 meters was also used around each hydro-flattened feature to classify these ground (Class 2) points to Ignored Ground (Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (Class 2) points were reclassified to the correct classification after the automated classification was completed. 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 using standard LAS overlap bit. 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 was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files. Woolpert proprietary software and LP360 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.

Process Date/Time: 2020-09-04 00:00:00

Process Step 2

CC ID: 1111999
Description:

Hydro-Flattened Digital Elevation Models (DEMs): Class 2 (ground) lidar points in conjunction with the hydro breaklines as well bridge breaklines were used to create a 2-foot hydro-flattened bare-earth raster DEM. Using automated scripting routines within ArcMap, a GeoTIFF file was created for each tile. Each surface is reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface.

Process Date/Time: 2020-09-01 00:00:00
Process Contact: U.S. Geological Survey

Process Step 3

CC ID: 1112000
Description:

The NOAA Office for Coastal Management (OCM) extracted the tiff file URL references and ingested them into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the DEM as it resides on Amazon Web Services (AWS) under the pr-tnm container.

Process Date/Time: 2021-12-15 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Phone (Voice): (843) 740-1202
Email Address: coastal.info@noaa.gov
Source: USGS GeoTiff files on AWS

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2020 USGS Lidar: Savannah Pee Dee, SC

Catalog Details

Catalog Item ID: 65959
GUID: gov.noaa.nmfs.inport:65959
Metadata Record Created By: Kirk Waters
Metadata Record Created: 2021-12-15 14:45+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