2016 NOAA NGS Topobathy Lidar DEM: Boca Grande, FL
Data Set (DS) | Office for Coastal Management (OCM)GUID: gov.noaa.nmfs.inport:57075 | Updated: January 10, 2024 | Published / External
Item Identification
Title: | 2016 NOAA NGS Topobathy Lidar DEM: Boca Grande, FL |
---|---|
Short Name: | NOAA_FL1605_Topobathy_DEM.xml |
Status: | Completed |
Publication Date: | 2018-11-15 |
Abstract: |
These data were collected by NOAA using a Riegl VQ880G sensor. The data were acquired from May 11, 2016 through May 14, 2016. The data includes topobathy data in LAS 1.2 format classified as created, unclassified (1); ground (2); noise (7); bathymetric noise (22); water column (25); bathymetric bottom (26); water surface (27); International Hydrographic Organization S-57 object, not otherwise specified (30); in accordance with project specifications. The project consists of approximately 85 square miles of data along the shores of Boca Grande. This dataset contains 1,053 500 m x 500 m lidar tiles. |
Purpose: |
Boca Grande have been identified as having critical topographic and bathymetric data gaps by NOAA. This lidar data will fill those critical gaps. |
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
|
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
|
UNCONTROLLED | |
None | DEM |
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: | Elevation Data |
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
Date Effective From: | 2019 |
---|---|
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
Date Effective From: | 2019 |
---|---|
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
Date Effective From: | 2019 |
---|---|
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
Date Effective From: | 2019 |
---|---|
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
W° Bound: | -82.352697 | |
---|---|---|
E° Bound: | -82.154073 | |
N° Bound: | 26.761118 | |
S° Bound: | 26.506639 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
---|---|
Start: | 2016-05-11 |
End: | 2016-05-14 |
Spatial Information
Reference Systems
Reference System 1
Coordinate Reference System |
|||||||||||||||||||||||
|
Reference System 2
Coordinate Reference System |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Access Information
Security Class: | Unclassified |
---|---|
Data Access Procedure: |
Data is available online for 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
Start Date: | 2019-07-25 |
---|---|
End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8791 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2019 - Present) |
File Name: | Customized Download |
Description: |
Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base. |
File Type (Deprecated): | Zip |
Compression: | Zip |
Distribution 2
Start Date: | 2019-07-25 |
---|---|
End Date: | Present |
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/NGS_FL_BocaGrande_DEM_2016_8791/index.html |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2019 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of data files in the original coordinate system. |
File Type (Deprecated): | TIFF |
Distribution Format: | TIFF |
URLs
URL 1
URL: | https://coast.noaa.gov/ |
---|---|
Name: | NOAA's Office for Coastal Management (OCM) website |
URL Type: |
Online Resource
|
File Resource Format: | HTML |
Description: |
Information on the NOAA Office for Coastal Management (OCM) |
URL 2
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 3
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8781/supplemental/fl2017_ngs_topobathy_BocaGrande_m8781.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: |
NOAA acquired and calibrated all lidar data and Dewberry classified this data and created derivative products. As such, Dewberry did not perform any absolute positional accuracy testing on this dataset. 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: |
NOAA acquired and calibrated all lidar data Data was acquired to meet 15cm vertical accuracy at 1 sigma. Dewberry classified this data and created derivative products. As such, Dewberry did not perform any absolute positional accuracy testing on this dataset. 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. |
Completeness Report: |
Data covers the project boundary. |
Conceptual Consistency: |
Not applicable |
Lineage
Lineage Statement: |
NOAA acquired Lidar data and Dewberry processed the data. |
---|
Process Steps
Process Step 1
Description: |
Data for the Boca Grande project was acquired by NOAA using a Riegl VQ880G sensor. 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) epoch: 2010 Vertical Units-meters This dataset encompasses 1,053 500m x 500m tiles. Both green lidar data and NIR lidar data was acquired. NOAA 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. 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 was verified through the use of Delta-Z (DZ) orthos created in GeoCue software. Intraswath or within a swath relative accuracy was verified using Quick Terrain Modeler. Profiles of elevated planar features, such as roofs, were used to verify horizontal alignment between overlapping swaths. Dewberry used algoritms in TerraScan to create the intial ground/submerged topography surface. Dewberry created 2-D breaklines by digitizing breaklines in a 2-D environment using intensity imagery as a reference. Dewberry used the 2-D breaklines to classify the bathymetric bottom and ground points properly in TerraScan. 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. GeoCue software was used to update LAS header information, including all projection and coordinate reference system information. The final lidar data are in LAS format 1.2 and point data record format 3. All data is then verified by an Independent QC department within Dewberry. The independent QC is performed by separate analysts who do not perform manual classification or editing. The independent QC involves quantitative and qualitative reviews. |
---|---|
Process Date/Time: | 2018-08-01 00:00:00 |
Process Contact: | National Geodetic Survey (NGS) |
Process Step 2
Description: |
Dewberry made a copy of the final lidar data and transformed the data from ellipsoid heights to orthometric heights, referenced to NAVD88 Geoid 12B, meters. The lidar data in orthometric heights were used to create the final topobathymetric DEMs in orthometric heights Lidar data were converted to a LAS Dataset. Lidar data classified as ground (2) and submerged topography (26) were then used to generate a raster in IMG format with 1 meter pixel resolution. The output raster was created over the full pilot area to reduce edge-matching issues and improve seamlessness. The raster was clipped to the tile grid and named according to project specifications to result in tiled topobathymetric DEMs. All tiled DEMs incorporate the use of the void polygons. The void polygons represent bathymetric areas with no bathymetric bottom returns and are set as NoData in the DEMs. Void polygon creation is described in the final project report and the void polygon metadata. 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: | 2018-08-01 00:00:00 |
Process Contact: | National Geodetic Survey (NGS) |
Catalog Details
Catalog Item ID: | 57075 |
---|---|
GUID: | gov.noaa.nmfs.inport:57075 |
Metadata Record Created By: | Maryellen Sault |
Metadata Record Created: | 2019-07-25 10:10+0000 |
Metadata Record Last Modified By: | Kirk Waters |
Metadata Record Last Modified: | 2024-01-10 19:06+0000 |
Metadata Record Published: | 2024-01-10 |
Owner Org: | OCM |
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 |