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Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Tech Environment
Data Quality
Data Management
Lineage
Catalog Details

Summary

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Short Citation
National Geodetic Survey, 2024: 2022 NOAA NGS Topobathy Lidar DEM of Tutuila, American Samoa, https://www.fisheries.noaa.gov/inport/item/72145.
Full Citation Examples

Abstract

This data was collected by Woolpert using a Leica HawkEye 4X sensor. The data was acquired from 20221018 - 20221212. The data includes topobathy data in LAS 1.4 format classified as unclassified (1), ground (2), low noise (7), topo water surface (9), high noise (18), bathymetric point (40), bathymetric water surface (41), synthetic derived water surface (42), submerged object (43), International Hydrographic Organization (IHO) S-57 object (44), submerged aquatic vegetation (64), and bathymetric bottom temporal changes (65) in accordance with the project specifications. The lidar data in ellipsoid heights was used to create the final topobathymetric DEMs in ellipsoid heights.

Lidar data classes 2, 40 and 43 were used to generate a raster in geotiff format, with 1 meter pixel resolution for the entire area. The raster was then clipped to the tile grid and named according to project specifications to result in tiled 5000m x 5000m topobathymetric DEMs. The project consists of approximately 516 square kilometers of data collected in Tutuila, American Samoa. This dataset contains 29 5000 m x 5000 m raster tiles.

Distribution Information

  • Not Applicable

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

  • GeoTIFF

    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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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.

Controlled Theme Keywords

COASTAL ELEVATION, elevation, SEAFLOOR TOPOGRAPHY, TOPOGRAPHICAL RELIEF MAPS

Child Items

No Child Items for this record.

Contact Information

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

Extents

Geographic Area 1

-170.939° W, -170.48° E, -14.187° N, -14.386° S

Time Frame 1
2022-10-18 - 2022-12-12

Item Identification

Title: 2022 NOAA NGS Topobathy Lidar DEM of Tutuila, American Samoa
Status: Completed
Creation Date: 2024
Abstract:

This data was collected by Woolpert using a Leica HawkEye 4X sensor. The data was acquired from 20221018 - 20221212. The data includes topobathy data in LAS 1.4 format classified as unclassified (1), ground (2), low noise (7), topo water surface (9), high noise (18), bathymetric point (40), bathymetric water surface (41), synthetic derived water surface (42), submerged object (43), International Hydrographic Organization (IHO) S-57 object (44), submerged aquatic vegetation (64), and bathymetric bottom temporal changes (65) in accordance with the project specifications. The lidar data in ellipsoid heights was used to create the final topobathymetric DEMs in ellipsoid heights.

Lidar data classes 2, 40 and 43 were used to generate a raster in geotiff format, with 1 meter pixel resolution for the entire area. The raster was then clipped to the tile grid and named according to project specifications to result in tiled 5000m x 5000m topobathymetric DEMs. The project consists of approximately 516 square kilometers of data collected in Tutuila, American Samoa. This dataset contains 29 5000 m x 5000 m raster tiles.

Purpose:

This data was collected to provide topographic/bathymetric lidar data, digital imagery, and digital shoreline for National Oceanic and Atmospheric Administration (NOAA) nautical charts and other uses.

Supplemental Information:

The full workflow used for this project is found in the final project report submitted to NOAA.

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > AMERICAN SAMOA

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 National Geodetic Survey, the Office for Coastal Management, or its partners.

Data Set Credit: We request that you credit the National Oceanic and Atmospheric Administration (NOAA) when you use these data in a report, publication, or presentation.

Support Roles

Data Steward

CC ID: 1325513
Date Effective From: 2024
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: 1325514
Date Effective From: 2024
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: 1325515
Date Effective From: 2024
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

Originator

CC ID: 1325516
Date Effective From: 2024
Date Effective To:
Contact (Organization): National Geodetic Survey (NGS)
Address: 1315 East-West Hwy
Silver Spring, MD 20910
URL: https://geodesy.noaa.gov/

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1325534
W° Bound: -170.939
E° Bound: -170.48
N° Bound: -14.187
S° Bound: -14.386

Extent Group 1 / Time Frame 1

CC ID: 1325533
Time Frame Type: Range
Start: 2022-10-18
End: 2022-12-12

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Reference Systems

Reference System 1

CC ID: 1325535

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:6636
EPSG Name: NAD83(PA11) / UTM zone 2S
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
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: 1325517
Start Date: 2024
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10093
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2024 - 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
Distribution Format: Not Applicable
Compression: Zip

Distribution 2

CC ID: 1325518
Start Date: 2024
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/dem/NGS_Tutuila_AS_Topobathy_2022_10093/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2024 - Present)
File Name: Bulk Download
Description:

Simple download of data files.

File Type (Deprecated): LAZ
Distribution Format: GeoTIFF
Compression: Zip

URLs

URL 1

CC ID: 1325520
URL: https://coast.noaa.gov/dataviewer
Name: Digital Coast Data Access Viewer
URL Type:
Online Resource

URL 2

CC ID: 1325521
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/10092/supplemental/AS2201_AmericanSamoa_QualityAssuranceReport.pdf
Name: Topobathy Lidar Data Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Topobathymetric Lidar Data Report

URL 3

CC ID: 1325522
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/10092/supplemental/extent_AS_tutuila_m10092.kmz
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz
Description:

This graphic shows the lidar footprint for this dataset.

Technical Environment

Description:

OS Independent

Data Quality

Horizontal Positional Accuracy:

Woolpert performed acquisition and calibration of all lidar data, as well as classification, generation of derivative products, and absolute positional accuracy computation. The DEMs are derived from the source lidar and inherit the accuracy of the source data. The DEMs are created using controlled and tested methods to limit the amount of error introduced during DEM production.

Vertical Positional Accuracy:

Woolpert performed acquisition and calibration of all lidar data, as well as classification, generation of derivative products, and absolute positional accuracy computation. The DEMs are derived from the source lidar and inherit the accuracy of the source data. The DEMs are created using controlled and tested methods to limit the amount of error introduced during DEM production. The results of the comparison of the topo ground control points with the Tutuila point cloud showed good agreement with an average dZ of 0.011m. The comparison of NVA and FVA check points to the point cloud showed similar results. The NVA points had an RMSE of 0.043m from the point cloud and the FVA at 95th percent confidence level in open terrain using RMSE (z) x 1.9600 was 0.084m.

Completeness Report:

This dataset encompasses 29 5000m x 5000m tiles

Conceptual Consistency:

Not applicable

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

Sources

Acquisition and Processing

CC ID: 1325528
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Woolpert

Process Steps

Process Step 1

CC ID: 1325529
Description:

This dataset encompasses 29 5000m x 5000m tiles, Both green and NIR lidar data were acquired.

Woolpert acquired, calibrated, and performed the refraction correction of the lidar data. Light travels at different speeds in air versus water and its direction of travel or angle is changed or refracted when entering the water column. The refraction correction process corrects for this difference by adjusting the depth (distance traveled) and horizontal position (change of angle/direction) of the lidar data acquired within water.

Relative accuracy of the swaths compared to overlapping and adjacent swaths was verified through the use of Delta-Z (DZ) orthos created in LASTools software. Profiles of elevated planar features, such as roofs, were used to verify horizontal alignment between overlapping swaths.

The NovAtel software was utilized for GPS and inertial processing, Data were processed to an initial LAS format using the Leica Lidar Survey Studio software.

Algorithms in TerraScan was used to create the initial ground surface.

All lidar data was peer-reviewed. QAQC also included creating void polygons for use during review. All necessary edits were applied to the dataset. LASTools was used to update LAS header information, including all projection and coordinate reference system information. The final lidar data is in LAS format 1.4 and point data record format 6.

Process Date/Time: 2023-07-31 00:00:00
Process Contact: National Geodetic Survey (NGS)

Process Step 2

CC ID: 1325531
Description:

The National Oceanic and Atmospheric Administration (NOAA) received files in laz format. The data is in UTM Zone 2S coordinates and ellipsoid elevations in meters.

Horizontal Datum-NAD83 (PA11) epoch: 2010.0

Projection-UTM Zone 2 South

Horizontal Units-meters

Vertical Datum-NAD83 (PA11) Ellipsoid height

Vertical Units-meters

The final classification scheme is as follows:

1-Unclassified

2-Ground

7-Low Noise

9-Topo Water Surface

18-High Noise

40-Bathymetric Point

41-Bathymetric Water Surface

42-Synthetic Derived Water Surface

43-Submerged Object

44-International Hydrographic Organization (IHO) S-57 Object

64-Submerged Aquatic Vegetation

65-Bathymetric Bottom Temporal Changes

The lidar data is referenced to the NAD83 (PA11) ellipsoid. The lidar data in ellipsoid heights was used to create the final topobathymetric DEMs in ellipsoid heights.

Lidar data classes 2, 40 and 43 were used to generate a raster in geotiff format, with 1 meter pixel resolution for the entire area. The raster was then clipped to the tile grid and named according to project specifications to result in tiled 5000m x 5000m topobathymetric DEMs.

Bathy void polygons represent bathymetric areas with no bathymetric bottom returns and accompany the DEMs. Void polygon creation is described in the final project report.

Process Date/Time: 2023-07-31 00:00:00
Process Contact: National Geodetic Survey (NGS)

Catalog Details

Catalog Item ID: 72145
GUID: gov.noaa.nmfs.inport:72145
Metadata Record Created By: Maryellen Sault
Metadata Record Created: 2024-02-13 20:18+0000
Metadata Record Last Modified By: Blake Waring
Metadata Record Last Modified: 2024-03-08 18:09+0000
Metadata Record Published: 2024-03-08
Owner Org: NGS
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-04-11
Metadata Review Frequency: 3 Years
Metadata Next Review Date: 2025-04-11