51348
2016 NOAA NGS Topobathy Lidar: Puerto Rico
Data Set
Published / External
59025
NGS Lidar
Project
Completed
2018-02-14
These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ-880G system. The data were acquired from 20160219- 20160331 in twenty missions. The data includes topobathy data in an LAS 1.2 format file classified as unclassified (1), ground (2), topo noise (7), bathy noise (22), water column (25), bathymetric bottom or submerged topography (26), water surface (27), derived water surface in accordance with project specifications. The project consists of 309.3 square miles along the shores of Puerto Rico. This dataset contains 3463 - 500 m x 500 m lidar tiles.
This lidar data was required by the National Geodetic Survey (NGS), Remote Sensing Division Coastal Mapping Program (CMP) to enable accurate and consistent measurement of the national shoreline. The CMP works to provide a regularly updated and consistent national shoreline to define America's marine territorial limits and manage coastal resources.
Data include all lidar returns. An automated grounding classification algorithm was used to determine bare earth and submerged topography point classification. The automated grounding was followed with manual editing.
Data for the Puerto Rico Topobathy LiDAR project was acquired by NOAA using a Riegl VQ-880G Topobathy LiDAR systems. All delivered LiDAR data is referenced to:
Horizontal Datum-NAD83 (2011) epoch: 2010
Projection-UTM Zone 19
Horizontal Units-meters
Vertical Datum-NAD83 (2011) epoch: 2010 (ellipsoid heights)
Vertical Units-meters
This dataset encompasses 3,463 500m x 500m tiles in Puerto Rico. Green LiDAR data was acquired.
NOAA acquired and calibrated the LiDAR data.
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > CARIBBEAN SEA > PUERTO RICO
Temporal
20160219
Temporal
20160222
Temporal
20160223
Temporal
20160224
Temporal
20160301
Temporal
20160302
Temporal
20160312
Temporal
20160314
Temporal
20160315
Temporal
20160316
Temporal
20160317
Temporal
20160322
Temporal
20160323
Temporal
20160324
Temporal
20160325
Temporal
20160328
Temporal
20160329
Temporal
20160331
Office for Coastal Management
Charleston
SC
Data Set
Elevation
None Planned
Model (digital)
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.
We request that you credit the National Oceanic and Atmospheric Administration (NOAA) when you use these data in a report, publication, or presentation.
Riegl VQ-880G
Airplane
72032
NOAA NGS Topobathy Lidar Class Scheme: Puerto Rico
Published / External
Completed
Other
Yes
Class table describing the class numbers used in the lidar data file. Each point in the lidar file has a class associated.
1
0- Created never classified
Point class number
No
No
Active
Point that was acquired but not assigned a classification.
2
1 - Unclassified
Point class number
No
No
Active
Unclassified point
3
2- Ground
Point class number
No
No
Active
Ground Point
4
7 - Low Point (Noise)
Point class number
No
No
Active
Low Point (Noise)
5
22 - Bathy Noise
Point class number
No
No
Active
Bathymetric noise point
6
25 - Water Column
Point class number
No
No
Active
Point classified as water column
7
26 - Bathymetric Point
Point class number
No
No
Active
Point classified as bathymetric ground.
8
27 - Water Surface
Point class number
No
No
Active
Point classified as water surface
Data Steward
2018-01-25
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2018-01-25
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2018-01-25
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Originator
2016-03-31
Organization
NGS Communications and Outreach Branch
ngs.infocenter@noaa.gov
(301) 713-3242
(301) 713-4172
Point of Contact
2018-01-25
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-67.296377
-65.539127
18.528369
17.850323
Range
2016-02-19
2016-03-31
Yes
Unclassified
This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8463;
None
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.
2018-02-14
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8463
2018-01-25
Organization
NOAA Office for Coastal Management
Link to custom download points, grids, or contours from the Data Access Viewer (DAV)
Zip
Zip
2018-02-14
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8463/index.html
2018-01-25
Organization
NOAA Office for Coastal Management
Link to bulk LAZ files
Zip
Zip
2018-02-14
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8463/supplemental/pr2016_ngs_topobathy_lidar_m8463.kmz
2018-01-25
Organization
NOAA Office for Coastal Management
This graphic displays the footprint for this lidar data set.
KMZ
KML/KMZ - Keyhole Markup Language
Zip
https://coast.noaa.gov
Online Resource
HTML
Web page for the NOAA Office for Coastal Management
https://coast.noaa.gov/dataregistry
Online Resource
HTML
Web page to the Digital Coast for finding coastal data
https://coast.noaa.gov/dataviewer
Online Resource
HTML
Data Access Viewer for discovering coastal imagery, land cover, and elevation data
The horizontal data positions were obtained using post processed KGPS methods. Data used to test the lidar was collected with Static GPS Observations and compared against the published data. The vertical accuracy of the data is better than plus or minus 0.15 m at 1 sigma.
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.
The vertical accuracy of the data is plus or minus 0.15 m at 1 sigma.
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. Accuracy assessment of these lidar data was performed by NOAA while calibrating the missions. Dewberry did not perform independent accuracy testing on this dataset.
Lidar
1
This dataset encompasses 3,463 500m x 500m tiles in Puerto Rico. Green LiDAR data was acquired.
NOAA acquired and calibrated the LiDAR data.
Dewberry received the calibrated green data and verified complete coverage. Relative accuracy of the green swaths compared to overlapping and adjacent green swaths was verified through the use Delta-Z (DZ) orthos created in GeoCue software.
Dewberry used E-Cognition to create 2D breaklines representing land/water interfaces. These 2D breaklines were manually reviewed and adjusted where necessary to ensure all well-defined hydrographic features (at 1:1200-scale) were represented with breaklines. Using TerraScan, all green LiDAR data within breaklines are classified as water column and a sub-set of these points meeting specific criteria are classified as green water surface points.
Dewberry used algoritms in TerraScan to create the intial ground/submerged topography surface. Dewberry then performed manual editing to review and improve the final topobathy surface.
All LiDAR data was peer-reviewed. Dewberry's internal QC 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.
The final classificaton scheme is as follows:
1-Unclassified
2-Ground
7-Topo Noise
22-Bathy Noise
25-Water Column
26-Bathymetric Bottom or Submerged Topography
27-Water Surface
28-Derived Water Surface
29-Submerged Object
30-International Hydrograpic Organization (IHO) S-57 objects
Dewberry then produced the final void layer and final set of DZ orthos using the final ground (2) and submerged topography (26) classes.
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.
2017-06-01T00:00:00
2
The NOAA Office for Coastal Management (OCM) received files in las format. The files contained lidar elevation and intensity measurements of the Florida Keys Outer Reef Block 01. 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 19 to geographic coordinates 2. Sorted by gps time 3. Compressed the data using laszip 4. Reclassified class 22 (Bathy Noise) to 1 (Unclassified).
2018-01-31T00:00:00
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
72032
Entity
NOAA NGS Topobathy Lidar Class Scheme: Puerto Rico
51328
Data Set
2016 NOAA NGS Topobathy Lidar DEM: Puerto Rico
Cross Reference
DEM created from this point cloud.
gov.noaa.nmfs.inport:51348
Maryellen Sault
2018-01-30T08:02:03
Maryellen Sault
2024-02-02T11:37:01
2022-03-16
National Geodetic Survey
NGS
1002
Public
No
2022-03-16
1 Year
2023-03-16