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Summary
Item Identification
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: 2019 NOAA NGS Topobathy Lidar DEM: Tampa Bay, FL, https://www.fisheries.noaa.gov/inport/item/64532.
Full Citation Examples

Abstract

These data were collected by Leading Edge Geomatics using a RIEGL VQ880-G / RIEGL VQ880-GII topobathymertic lidar system. The data were acquired from November 22, 2019 to December 20, 2019. The data include topobathy data in LAS 1.4 format classified as created, unclassified (1); ground (2); noise (low or high) (7); bathymetric bottom (40); water surface (41); derived water surface (42); submerged object (43); no bathymetric bottom found (45); and temporal (46) in accordance with project specifications. The project was delivered in two blocks:

Block 1: The project consists of approximately 311 square miles of data within the Tampa Bay inlet, to include Old Tampa Bay, Hillsborough Bay and the Interbay Peninsula. This dataset contains 883 1000 m x 10000 m lidar tiles. The Block 1 delivery consists of 419 tiles for the eastern half of the AOI.

Block 2: The project consists of approximately 311 square miles of data within the Tampa Bay inlet, to include Old Tampa Bay, Hillsborough Bay, and the Interbay Peninsula. This dataset contains 905 1000 m x 1000 m lidar tiles. The Block 2 delivery consists of 486 tiles for the western half of the AOI.

Distribution Information

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

  • LAS/LAZ - LASer

    Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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

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

Extents

Geographic Area 1

-82.739979° W, -82.339679° E, 28.063819° N, 27.77062° S

Time Frame 1
2019-11-22 - 2019-12-20

Item Identification

Title: 2019 NOAA NGS Topobathy Lidar DEM: Tampa Bay, FL
Status: Completed
Publication Date: 2021
Abstract:

These data were collected by Leading Edge Geomatics using a RIEGL VQ880-G / RIEGL VQ880-GII topobathymertic lidar system. The data were acquired from November 22, 2019 to December 20, 2019. The data include topobathy data in LAS 1.4 format classified as created, unclassified (1); ground (2); noise (low or high) (7); bathymetric bottom (40); water surface (41); derived water surface (42); submerged object (43); no bathymetric bottom found (45); and temporal (46) in accordance with project specifications. The project was delivered in two blocks:

Block 1: The project consists of approximately 311 square miles of data within the Tampa Bay inlet, to include Old Tampa Bay, Hillsborough Bay and the Interbay Peninsula. This dataset contains 883 1000 m x 10000 m lidar tiles. The Block 1 delivery consists of 419 tiles for the eastern half of the AOI.

Block 2: The project consists of approximately 311 square miles of data within the Tampa Bay inlet, to include Old Tampa Bay, Hillsborough Bay, and the Interbay Peninsula. This dataset contains 905 1000 m x 1000 m lidar tiles. The Block 2 delivery consists of 486 tiles for the western half of the AOI.

Purpose:

The Tampa Bay inlet has been identified as having critical topographic and bathymetric data gaps by NOAA. This lidar data will fill those critical gaps.

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 > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation
UNCONTROLLED
None beach
None DEM
None erosion

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
VERTICAL LOCATION > LAND SURFACE
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > SEA FLOOR

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging

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: National Oceanic and Atmospheric Administration (NOAA), National Geodetic Survey (NGS), Remote Sensing Division (RSD), Coastal Mapping Program (CMP)

Support Roles

Data Steward

CC ID: 1057685
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: 1057683
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

Metadata Contact

CC ID: 1057684
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

Originator

CC ID: 1057686
Date Effective From: 2021
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: 1294492
W° Bound: -82.739979
E° Bound: -82.339679
N° Bound: 28.063819
S° Bound: 27.77062

Extent Group 1 / Time Frame 1

CC ID: 1294491
Time Frame Type: Range
Start: 2019-11-22
End: 2019-12-20

Spatial Information

Spatial Representation

Representations Used

Grid: Yes
Vector: No
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Reference Systems

Reference System 1

CC ID: 1294489

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:6346
EPSG Name: NAD83(2011) / UTM zone 17N
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk or 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: 1057687
Start Date: 2021-05
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9278
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, datum, 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: 1057688
Start Date: 2020-05
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/NGS_TampaBay_Topobathy_DEM_2019_9278/
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2021 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.

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

URLs

URL 1

CC ID: 1057689
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 2

CC ID: 1057690
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9279/supplemental/extent_ngs_tampa_2019_topobathy_m9279.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

Technical Environment

Description:

OS Independent

Data Quality

Horizontal Positional Accuracy:

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. Lidar vendors calibrate their lidar systems during installation of the system and then again for every project acquired. Typical calibrations include cross flights that capture features from multiple directions that allow adjustments to be performed so that the captured features are consistent between all swaths and cross flights from all directions. Horizontal positional accuracy is achieved through rigorous processing of airborne GPS and IMU, use of control, and calibration procedures. This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 41 cm RMSEx/RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 1 meter at a 95% confidence level.

Vertical Positional Accuracy:

The DEMs are created using controlled and tested methods to limit the amount of error introduced during DEM production so that any differences identified between the source lidar and final DEMs can be attributed to interpolation differences. DEMs are created by averaging several lidar points within each pixel which may result in slightly different elevation values at a given location when compared to the source LAS, which does not average several lidar points together but may interpolate (linearly) between two or three points to derive an elevation value.

The vertical accuracy of the DEM was tested by Dewberry with 57 independent survey checkpoints. The same checkpoints that were used to test the source lidar data were used to validate the vertical accuracy of the final DEM products. The survey checkpoints are located in areas of non-vegetated terrain, including bare earth, open terrain, and urban terrain (32), vegetated terrain, including forest, brush, tall weeds, crops, and high grass (18), and submerged bottom areas (7). The vertical accuracy is tested by extracting the elevation of the pixel that contains the x/y coordinates of the checkpoint and comparing these DEM elevations to the surveyed elevations. The 57 survey checkpoints were evenly distributed throughout the project area.

All checkpoints located in non-vegetated terrain were used to compute the Non-vegetated Vertical Accuracy (NVA). Project specifications required a NVA of 19.6 cm at the 95% confidence level based on RMSEz (10 cm) x 1.9600. All checkpoints located in vegetated terrain were used to compute the Vegetated Vertical Accuracy (VVA). Project specifications required a VVA of 30.0 cm based on the 95th percentile. All checkpoints located in bathymetric areas were used to compute an accuracy for the bathymetric data. Project specifications required bathymetric data to meet or exceed 35.3 cm at the 95% confidence level based on RMSEz (18.5 cm) x 1.9600.

This DEM dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 3.1 cm, equating to +/- 6.1 cm at 95% confidence level.

This DEM dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEz Vertical Accuracy Class. Actual VVA accuracy was found to be +/- 14.4 cm at the 95th percentile.

The 5% outliers consisted of 1 checkpoint with DZ values larger than the 95th percentile. The larger DZ value for this checkpoint was recorded at 24.8 cm.

This DEM dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 18.5 cm RMSEz Vertical Accuracy Class. Actual Bathymetric accuracy was found to be RMSEz = 21.1 cm, equating to +/- 41.4 cm at 95% confidence level.

Completeness Report:

Data covers the project boundary.

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

Acqusition

CC ID: 1294484
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Leading Edge Geomatics

Processing

CC ID: 1294485
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Dewberry

Process Steps

Process Step 1

CC ID: 1294486
Description:

Data for the Tampa Bay North Topo-Bathymetry Mapping Project was acquired by Leading Edge Geomatics using a RIEGL VQ880-G / RIEGL VQ880-GII topobathymertic lidar system. All delivered lidar data is referenced to:

Horizontal Datum-NAD83 (2011) epoch: 2010

Projection-UTM Zone 17 North

Horizontal Units-meters

Vertical Datum-NAD83 (2011)

Vertical Units-meters

Both green lidar data and NIR lidar data were acquired.

Leading Edge Geomatics acquired, calibrated and performed the refraction correction to the lidar data.

Dewberry received the calibrated green and NIR data and verified complete coverage. Relative accuracy of the green swaths compared to overlapping and adjacent green swaths as well as the relative accuracy of green swaths compared to overlapping and adjacent NIR swaths were verified through the use of Delta-Z (DZ) orthos created using LASTools. Intraswath or within a swath relative accuracy was also verified using LASTools. Profiles of elevated planar features, such as roofs, were used to verify horizontal alignment between overlapping swaths. Dewberry then verified absolute vertical accuracy of the swath data prior to full-scale production.

Dewberry used algoritms in TerraScan to create the intial ground/submerged topography surface.

Dewberry used rasterized aggregate extents of refracted points to create automated, smoothed 2-D refraction extent vectors with LAStools and ArcGIS. Light travels at different speeds in air versus water and its speed and direction of travel change when it enters the water column. The refraction correction process accounts for this difference by adjusting the depth (distance traveled) and horizontal position (change of angle/direction) of the lidar points acquired within water. These refraction extents delineate areas where the refraction correction was applied to the lidar data by Riegl's automated refraction correction software based on the software's detection of water.

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

The final classificaton scheme is as follows:

0-Created, never classified

1-Unclassified

2-Ground

7-Noise

40-Bathymetric bottom

41-Water surface

42-Derived water surface

43-Submerged object, not otherwise specified

45-No bottom found

46-Temporal

All data was then verified by an independent QC department within Dewberry. The independent QC was performed by analysts who do not perform manual classification or editing. The independent QC involved quantitative and qualitative reviews.

Process Date/Time: 2020-09-01 00:00:00
Process Contact: NGS Communications and Outreach Branch
Phone (Voice): (301) 713-3242
Email Address: ngs.infocenter@noaa.gov

Process Step 2

CC ID: 1294487
Description:

Digital elevation models were created using only ground (2) and submerged topography (40) lidar point data. A triangulated irregular network (TIN) was generated from these data and rasterized at a 1-m spatial resolution using LAStools 'blast2dem' utility. Using ESRI ArcMap, void polygons representing areas of extremely sparse or non-existent bathymetric coverage were used to eliminate large areas of interpolation in the DEM. The void polygon creation process is described in the void polygon metadata and final project report. The DEM was clipped to the tile grid to create individual tiled DEMs and named according to project specifications.

A confidence layer has been created and provided to NOAA as part of the deliverables. The confidence layer is a raster product in IMG format with 1 meter square pixels. The confidence layer provides a standard deviation value for every pixel by calculating the standard deviation of all ground and/or submerged topography lidar points that are located within a single pixel. The confidence layer pixels align to the pixels in the topobathy DEMs. The confidence layer can be displayed by unique values or classified into desired bins/ranges for analysis over larger areas.

Process Date/Time: 2020-09-01 00:00:00

Process Step 3

CC ID: 1294488
Description:

The NOAA Office for Coastal Management (OCM) received DEM files from Dewberry. Horizontal positions were provided in UTM Zone 17 NAD83(2011), meters coordinates. Vertical positions were provided in NAVD88 (Geoid18) elevations and in meters. OCM performed the following processing for data storage and Digital Coast provisioning purposes:

1. The projection and vertical datum EPSG codes were assigned..

2. The data were copied to https

Process Date/Time: 2021-04-20 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 64532
GUID: gov.noaa.nmfs.inport:64532
Metadata Record Created By: Maryellen Sault
Metadata Record Created: 2021-04-13 10:19+0000
Metadata Record Last Modified By: Kirk Waters
Metadata Record Last Modified: 2024-01-10 19:14+0000
Metadata Record Published: 2024-01-10
Owner Org: NGS
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