2021 NOAA NGS Topobathy Lidar Southern Tampa Bay, Florida
National Geodetic Survey
Data Set
(DS)
| ID: 66913
| Published / External
Created: 2022-03-30
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Last Modified: 2023-10-17
Project (PRJ) | ID: 59025
ID: 66913
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2021 NOAA NGS Topobathy Lidar Southern Tampa Bay, Florida |
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Short Name | |
* Status | Completed |
Creation Date | 2022 |
Revision Date | |
• Publication Date | |
* » Abstract |
These data were collected by Dewberry using a CZMIL Nova system. The data were acquired from 20210126 - 20210227. The data include topobathy data in LAS 1.4 format classified as unclassified (1); ground (2); low noise (7); high noise (18); bathymetric bottom (40); water surface (41); derived water surface (42); submerged object, not otherwise specified (e.g., wreck, rock, submerged piling) (43); and no bottom found (bathymetric lidar point for which no detectable bottom return was received) (45) in accordance with project specifications; temporal surface not used in bathymetric classification (65). This dataset consists of approximately 225 square miles of data along the shores of Tampa Bay and contains 3,180 500 m x 500 m lidar tiles. |
* Purpose |
This lidar data are an ancillary product of NOAA's Coastal Mapping Program (CMP), created through a wider Integrated Ocean and Coastal Mapping initiative to increase support for multiple uses of the data. It is not intended for mapping, charting, or navigation. |
Notes | |
Other Citation Details | |
• Supplemental Information |
Data include all lidar returns. Outliers or false returns (e.g., returns from birds, atmospheric particles, and/or system noise) may be present in the data. An automated ground classification algorithm was used to determine bare earth point classification. It should be noted that not all returns were correctly classified; therefore the user should examine for acceptability. |
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Keywords
Theme Keywords
Thesaurus | Keyword |
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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 |
Temporal Keywords
Thesaurus | Keyword |
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* Spatial Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Location Keywords | CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > FLORIDA |
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Physical Location
• » Organization | Office for Coastal Management |
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• » City | Charleston |
• » State/Province | SC |
• Country | |
• » Location Description |
Data Set Information
* Data Set Scope Code | Data Set |
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• Data Set Type | Elevation |
• Maintenance Frequency | None Planned |
Maintenance Note | |
» Data Presentation Form | Model (digital) |
• Entity Attribute Overview | |
Entity Attribute Detail Citation | |
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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
* » Support Role | Data Steward |
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* » Date Effective From | 2022 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2022 |
Date Effective To | |
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 |
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Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2022 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Originator |
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* » Date Effective From | 2022 |
Date Effective To | |
Organization | National Geodetic Survey (NGS) |
Address |
1315 East-West Hwy Silver Spring, MD 20910 |
Email Address | |
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Mobile | |
URL | https://geodesy.noaa.gov/ |
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Extents
Currentness Reference | Ground Condition |
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Extent Group 1
Extent Description |
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Extent Group 1 / Geographic Area 1
* » W° Bound | -82.734502 |
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* » E° Bound | -82.353336 |
* » N° Bound | 27.815211 |
* » S° Bound | 27.472667 |
* » Description |
Extent Group 1 / Vertical Extent
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Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 2021-01-26 |
End | 2021-02-27 |
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Spatial Information
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Vector Representation Used? | Yes |
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Reference Systems
Reference System
EPSG Code | EPSG:6319 | ||||||||||||||||||||||||||||
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Access Information
Data License | |
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Data License Statement | |
* » Security Class | Unclassified |
* Security Classification System | |
Security Handling Description | |
• Data Access Policy | |
» Data Access Procedure |
This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8412; |
• » 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. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
Start Date | 2022 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9480 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2022 - Present) |
File Name | Customized Download |
Description |
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. |
File Date/Time | |
File Type (Deprecated) | ZIP |
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Compression | Zip |
Review Status |
Start Date | 2022 |
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End Date | Present |
» Download URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9480/index.html |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2022 - Present) |
File Name | Bulk Download |
Description |
Simple download of data files. |
File Date/Time | |
File Type (Deprecated) | LAZ |
Distribution Format | LAS/LAZ - LASer |
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Compression | Zip |
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URLs
URL | https://coast.noaa.gov/dataviewer |
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Name | Digital Coast Data Access Viewer |
URL Type | Online Resource |
File Resource Format | |
Description |
URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9480/supplemental/FL2101_Quality_Assurance_Report_v02.pdf |
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Name | Topobathy Lidar Data Report |
URL Type | Online Resource |
File Resource Format | |
Description |
Topobathymetric Lidar Data Report |
URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9480/supplemental/extent_ngs_southTampaBay_topobathy_m9480.kmz |
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Name | Browse Graphic |
URL Type | Browse Graphic |
File Resource Format | kmz |
Description |
This graphic shows the lidar footprint for this dataset. |
URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9480/supplemental/Appendix_A_FL2101_TampaBay_TopoBathymetric_Lidar_Ground_Survey_Report.pdf |
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Name | Topobathy Lidar Ground Survey Report |
URL Type | Online Resource |
File Resource Format | |
Description |
Topobathy Lidar Ground Survey Report |
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Issues
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Technical Environment
Description |
OS Independent |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy |
Only checkpoints photo-identifiable in the intensity imagery can be used to test the horizontal accuracy of the lidar. Photo-identifiable checkpoints in intensity imagery typically include checkpoints located at the ends of paint stripes on concrete or asphalt surfaces or checkpoints located at 90 degree corners of different reflectivity, e.g. a sidewalk corner adjoining a grass surface. The xy coordinates of checkpoints, as defined in the intensity imagery, are compared to surveyed xy coordinates for each photo-identifiable checkpoint. These differences are used to compute the tested horizontal accuracy of the lidar. As not all projects contain photo-identifiable checkpoints, the horizontal accuracy of the lidar cannot always be tested. 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. 11 photo-identifiable checkpoints were used to test horizontal accuracy for this lidar dataset. Horizontal accuracy from this small dataset cannot be considered statistically significant; however, it was still calculated and found to be 26.2 cm. |
Vertical Positional Accuracy |
The vertical accuracy of the classified lidar was tested by Dewberry with 51 independent survey checkpoints. The survey checkpoints are evenly distributed throughout the project area and are located in areas of non-vegetated terrain, including bare earth, open terrain, and urban terrain (30); vegetated terrain, including forest, brush, tall weeds, crops, and high grass (17); and submerged bottom areas (4). The vertical accuracy is tested by comparing survey checkpoints to a triangulated irregular network (TIN) that is created from the lidar ground and submerged bottom points. Checkpoints are always compared to interpolated surfaces created from the lidar point cloud because it is unlikely that a survey checkpoint will be located at the precise location of a discrete lidar point. All checkpoints located in non-vegetated terrain were used to compute the Non-vegetated Vertical Accuracy (NVA). Project specifications require 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 require a VVA of 30.0 cm based on the 95th percentile. All checkpoints located in bathymetric areas were used to compute an accuracy value for the bathymetric data. Project specifications require the vertical accuracy for bathymetric data to be 58.8 cm or better at the 95% confidence level based on depth-dependent RMSEz (30.0 cm) x 1.9600. This lidar 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 = 5.6 cm, equating to +/- 10.9 cm at the 95% confidence level. This lidar 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 +/- 14.7 cm at the 95th percentile. The 5% outliers consisted of 1 checkpoint that larger than the 95th percentile. This checkpoint has a DZ value of 29.3 cm This lidar dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 30.0 cm RMSEz Vertical Accuracy Class. Actual Bathymetric accuracy was found to be RMSEz = 15.3 cm, equating to +/- 29.9 cm at the 95% confidence level. |
Quantitation Limits | |
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Completeness Report |
Data covers 3,180 tiles (500 m x 500 m tiles). |
Conceptual Consistency |
Not applicable |
» Quality Control Procedures Employed |
Data Management
» Have Resources for Management of these Data Been Identified? | Yes |
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» Approximate Percentage of Budget for these Data Devoted to Data Management | Unknown |
» Do these Data Comply with the Data Access Directive? | Yes |
» Is Access to the Data Limited Based on an Approved Waiver? | |
» If Distributor (Data Hosting Service) is Needed, Please Indicate | |
» Approximate Delay Between Data Collection and Dissemination | |
» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed | |
» Actual or Planned Long-Term Data Archive Location | NCEI-CO |
» Approximate Delay Between Data Collection and Archiving | |
» 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
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Sources
Citation Title | Acquisition and Processing |
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Contact Role Type | Originator |
Contact Type | Organization |
Contact Name | Dewberry |
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Process Steps
Process Step Number | 1 |
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» Description |
Data were processed to an initial LAS format using Teledyne CARIS software. CARIS was also utilized for GPS and inertial processing, and Terrasolid and LAStools were used for data visualization, 3D editing, and export to final LAS/LAZ. Data were processed using NAD83(2011) horizontal and vertical datums. The data are in UTM Zone 17 coordinates and ellipsoid elevations in meters. The data classifications are: unclassified (1); ground (2); noise (7); water surface (topographic sensor) (18); bathymetric bottom (40); water surface (41); derived water surface (42); submerged object, not otherwise specified (e.g., wreck, rock, submerged piling) (43); and no bottom found (bathymetric lidar point for which no detectable bottom return was received) (45) in accordance with project specifications; temporal surface not used in bathymetric classification (65). |
Process Date/Time | 2021-10-28 00:00:00 |
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Process Step Number | 2 |
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» Description |
The NOAA Office for Coastal Management (OCM) received files in laz format. The files contained lidar elevation and intensity measurements of Southern Tampa Bay, FL. The data were in UTM Zone 17 coordinates and ellipsoid elevations in meters. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Converted from UTM Zone 17 to geographic coordinates 2. Sorted by gps time |
Process Date/Time | 2022-04-11 00:00:00 |
Process Contact | Office for Coastal Management (OCM) |
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Acquisition Information
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Child Items
Rubric scores updated every 15m
Score | Type | Title |
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Entity (ENT) | NOAA NGS Topobathy Lidar Class Scheme: Southern Tampa Bay, Florida | |
Related Items
Item Type | Relationship Type | Title |
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Catalog Details
Catalog Item ID | 66913 |
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Metadata Record Created By | Maryellen Sault |
Metadata Record Created | 2022-03-30 11:51+0000 |
Metadata Record Last Modified By | SysAdmin InPortAdmin |
» Metadata Record Last Modified | 2023-10-17 16:12+0000 |
Metadata Record Published | 2022-04-11 |
Owner Org | NGS |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2022-04-11 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2023-04-11 |
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