69338
2019 - 2020 NOAA NGS Topobathy Lidar DEM: Hurricane Michael (NW Florida)
Data Set
Published / External
59025
NGS Lidar
Project
Completed
2023-01
The 2019 - 2020 NOAA NGS Topobathy Lidar DEM: Hurricane Michael data were collected by multiple contractors including NV5 and Dewberry. The 100 meter buffered project area consists of approximately 2,120,060 acres encompassing the Florida Panhandle and extending south to New Port Richey, Florida, and was collected between November 2019 - July 2020 using a Leica Chiroptera 4X system. The dataset includes topobathymetric digital elevation model data in geoTIFF format at 1 meter horizontal resolution.
This lidar data are an ancillary product of NOAA's Coastal Mapping Program (CMP), created through a wider Integrated Ocean and Coastal Mapping (IOCM) initiative to increase support for multiple uses of the data. It is not intended for mapping, charting, or navigation. In addition, it will be used for ongoing research efforts for testing and developing standards for airborne lidar.
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.
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
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
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Theme
CoRIS Theme Thesaurus
EARTH SCIENCE > Oceans > Bathymetry/Seafloor Topography > Bathymetry
Theme
NOAA NOS Harvest Catalog
CoRIS
Spatial
CoRIS Place Thesaurus
COUNTRY/TERRITORY > United States of America > Florida
Spatial
CoRIS Place Thesaurus
OCEAN BASIN > Atlantic Ocean > North Atlantic Ocean > Florida
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.
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, 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., Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)
Data Steward
2023
Organization
NGS Communications and Outreach Branch
ngs.infocenter@noaa.gov
(301) 713-3242
(301) 713-4172
Distributor
2023
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
2023
Organization
NGS Communications and Outreach Branch
ngs.infocenter@noaa.gov
(301) 713-3242
(301) 713-4172
Point of Contact
2023
Organization
NGS Communications and Outreach Branch
ngs.infocenter@noaa.gov
(301) 713-3242
(301) 713-4172
Ground Condition
Below are both the individual block extents as well as the overall dataset's extent.
-85.668247
-85.270902
30.177297
29.909435
The NOAA Michael Topobathymetric Lidar Delivery 1 extent covers 95,557 acres of the full project boundary. This Delivery 1 dataset is comprised of 2,286 - 500 m x 500 m LAS tiles.
-85.451502
-83.989269
30.177686
29.544044
The NOAA Michael Topobathymetric Lidar Delivery 3 UTM 16 extent covers 341,153 acres of the full project boundary.
-84.010594
-83.337362
30.161341
29.526019
The NOAA Michael Topobathymetric Lidar Delivery 3 UTM 17 extent covers 341,153 acres of the full project boundary.
-86.27383
-85.490947
30.38344
30.047483
The NOAA Michael Topobathymetric Lidar Delivery 41 (Block 04) extent covers 192,811 acres of the full project boundary.
-88.05557
-82.55326
30.662192
28.186447
-84.830004
-84.301645
30.123719
29.663345
The NOAA Michael Topobathymetric Lidar Delivery 2 extent covers 166,578 acres of the full project boundary. This Delivery 2 dataset is comprised of 3,549 - 500 m x 500 m LAS tiles.
-87.313157
-86.029265
30.665212
30.291658
The NOAA Michael Topobathymetric Lidar Delivery 42 (Block 05) extent covers 95,557 acres of the full project boundary. This Block 05 dataset is comprised of 9,006 - 500 m x 500 m LAS tiles.
-88.062939
-87.311719
30.506921
30.209728
The NOAA Michael Topobathymetric Lidar Delivery 43 (Block 06) extent covers 153,351 acres of the full project boundary. This Block 06 dataset is comprised of 3,539 - 500 m x 500 m LAS tiles.
-83.435325
-82.558583
29.550452
28.861074
The NOAA Michael Topobathymetric Lidar Delivery 44AA (Block 07)extent covers 276,009 acres of the full project boundary. This Block 07 dataset is comprised of 5,706 - 500 m x 500 m LAS tiles.
-82.841248
-82.543431
28.918952
28.184556
The NOAA Michael Topobathymetric Lidar Delivery 44B (Block 08) extent covers 327,801 acres of the full project boundary. This Delivery 44B dataset is comprised of 5,826 - 500 m x 500 m LAS tiles.
Range
2019-11-26
2020-04-28
Delivery 44B (Block 08) acquisition dates spanned from 20191126-20200428 in 24 missions.
Range
2019-11-27
2020-04-09
Delivery 41 (Blcok 04) acquisition dates spanned from 20201127-20200409 in twenty-one missions.
Range
2019-11-27
2020-02-22
Block 1 collection dates.
Range
2019-11-27
2020-07-30
Delivery 3 UTM 16 acquisition dates spanned from 20201127-20200730 in forty-seven missions.
Range
2019-12-04
2020-05-02
Delivery 43 (Block 06) acquisition dates spanned from 20191204-20200502 in twenty one missions.
Range
2019-12-15
2020-06-27
Delivery 42 (Block 05) acquisition dates spanned from 20191215-20200627 in thirty-three missions.
Range
2020-01-01
2020-07-30
Delivery 2 acquisition dates spanned from 20200101-20200730 in twenty one missions.
Range
2020-01-27
2020-04-28
Delivery 44AA (Block 07) acquisition dates spanned from 20200127-20200428 in twenty-two missions.
Range
2020-02-15
2020-05-19
Delivery 3 UTM 17 acquisition dates spanned from 20200215-20200519 in fifteen missions.
1
Meter
Yes
No
No
Yes
No
Projected
EPSG:6345
NAD83(2011) / UTM zone 16N
NAD83 (National Spatial Reference System 2011)
GRS 1980
6378137
298.257222101
NAD83(2011)
UTM zone 16N
Transverse Mercator
Latitude of natural origin
0° 0' 0" N
Longitude of natural origin
87° 0' 0" W
Scale factor at natural origin
0.9996
False easting
500000
metre
False northing
0
metre
1
Easting
E
metre
east
2
Northing
N
metre
north
Projected
EPSG:6346
NAD83(2011) / UTM zone 17N
NAD83 (National Spatial Reference System 2011)
GRS 1980
6378137
298.257222101
NAD83(2011)
UTM zone 17N
Transverse Mercator
Latitude of natural origin
0° 0' 0" N
Longitude of natural origin
81° 0' 0" W
Scale factor at natural origin
0.9996
False easting
500000
metre
False northing
0
metre
1
Easting
E
metre
east
2
Northing
N
metre
north
Vertical
EPSG:5703
NAVD88 height
North American Vertical Datum 1988
1
Gravity-related height
H
metre
up
Unclassified
Data is available online for bulk or custom downloads
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.
2023-01-26
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9708/details/9708
2023
Organization
NOAA Office for Coastal Management
Customized Download
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.
Zip
Zip
2023-01-26
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/NGS_NW_Florida_Topobathy_DEM_2020_9708/
2023
Organization
NOAA Office for Coastal Management
Bulk Download
Simple download of data files.
GeoTIFF
GeoTIFF
https://coast.noaa.gov/dataviewer/
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
Online Resource
HTML
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.
OS Independent
Lidar horizontal accuracy is a function of Global Navigation Satellite System (GNSS) derived positional error, flying altitude, and INS derived attitude error. The obtained RMSEr value is multiplied by a conversion factor of 1.7308 to yield the horizontal component of the National Standards for Spatial Data Accuracy (NSSDA) reporting standard where a theoretical point will fall within the obtained radius 95 percent of the time (ACCr). Based on a flying altitude of 400 meters, an IMU error of 0.004 decimal degrees, and a GNSS positional error of 0.008 meters, the RMSEr value for the Delivery 1 area is 0.05 meters, with a ACCr of 0.09 meters at the 95% confidence level. The project specification requires horizontal positions to be accurate to 1.0m(RMSE).
Based on a flying altitude of 400 meters, an IMU error of 0.007 decimal degrees, and a GNSS positional error of 0.027 meters, the RMSEr value for the Delivery 2 area is 0.09 meters, with a ACCr of 0.16 meters at the 95% confidence level.
Horizontal Accuracy was not reported in the contractor provided metadata for the remaining blocks.
Block 1 UTM 16:
Non-Vegetated Vertical Accuracy tested 0.061 m at 95% confidence level against the derived bare earth DEM in open terrain using 5 ground check points, based on RMSEz (0.031 m) x 1.9600. Vegetated Vertical Accuracy tested 0.209 m at the 95th% against the bare earth DEM using 8 landclass points. The dataset tested 0.053 m vertical accuracy at 95% confidence level against the derived topobathymetric bare earth DEM using 10 submerged check points, based on RMSEz (0.027 m) x 1.9600.
Block 2 UTM 16:
NVA tested 0.046 m at 95% confidence level against the derived bare earth DEM in open terrain using 9 ground check points, based on RMSEz (0.024 m) x 1.9600. VVA tested 0.090 m at the 95th % against the derived bare earth DEM using 4 landclass points. The dataset tested 0.247 m at 95% confidence against the derived topbathy bare earth DEM using 82 submerged checkpoints, RMSEz (0.126 m) x 1.9600.
Block 3 UTM 16:
NVA tested 0.096 m at 95% confidence level against the derived bare earth DEM in open terrain using 29 ground check points, based on RMSEz (0.049 m) x 1.9600.VVA tested 0.146 m at the 95th % against the derived bare earth DEM using 18 landclass points. The dataset tested 0.258 m at 95% confidence against the derived topobathy bare earth DEM using 78 submerged checkpoints, RMSEz (0.134 m) x 1.9600.
BLock 3 UTM 17:
NVA tested 0.096 m at 95% confidence level against the derived bare earth DEM in open terrain using 29 ground check points, based on RMSEz (0.049 m) x 1.9600. VVA tested 0.146 m vertical accuracy at the 95th % against the derived bare earth DEM using 18 landclass points. The dataset tested 0.258 m at 95% confidence against the derived topobathy bare earth DEM using 78 submerged checkpoints, RMSEz (0.134 m) x 1.9600.
Block 4 UTM 16:
NVA tested 0.107 m at 95% confidence level against the derived bare earth DEM in open terrain using 12 ground check points, based on RMSEz (0.055 m) x 1.9600. VVA tested 0.218 m at the 95th % against the derived bare earth DEM using 7 landclass points. The dataset tested 0.231 m at 95% confidence against the derived topobathy bare earth DEM using 29 submerged checkpoints, RMSEz (0.118 m) x 1.9600.
Block 5 UTM 16:
NVA tested 0.106 m at 95% confidence level against the derived bare earth DEM in open terrain using 23 ground check points, based on RMSEz (0.054 m) x 1.9600. VVA tested 0.367 m at the 95th % against the derived bare earth DEM using 13 landclass points The dataset tested 0.230 m at 95% confidence against the derived topobathy bare earth DEM using 78 submerged checkpoints, RMSEz (0.117 m) x 1.9600.
Block 6 UTM 16:
NVA tested 0.098 m vertical accuracy at 95% confidence level against the derived bare earth DEM in open terrain using 6 ground check points, based on RMSEz (0.050 m) x 1.9600. VVA tested 0.088 m at the 95th % against the derived bare earth DEM using 6 landclass points. The dataset tested 0.294 m at 95% confidence against the derived topobathy bare earth DEM using 55 submerged checkpoints, RMSEz (0.150 m) x 1.9600.
Block 7 UTM 17:
NVA tested 0.067 m at 95% confidence level against the derived bare earth DEM in open terrain using 10 ground check points, based on RMSEz (0.034 m) x 1.9600. VVA tested 0.146 m vertical accuracy at the 95th % against the derived bare earth DEM using 13 landclass points. The dataset tested 0.117 m vertical accuracy at 95% confidence against the derived topobathymetric bare earth DEM using 26 submerged checkpoints, RMSEz (0.060 m) x 1.9600.
Block 8 UTM 17:
NVA tested 0.060 m at 95% confidence level against the derived bare earth DEM in open terrain using 8 ground check points, based on RMSEz (0.031 m) x 1.9600. VVA tested 0.188 m at the 95th % against the derived bare earth DEM using 6 land class points. The dataset tested 0.139 m at 95% confidence against the derived topobathy bare earth DEM using 83 submerged checkpoints, RMSEz (0.071 m) x 1.9600.
Data covers the 599 tiles (5000m x 5000m tiles).
Not applicable
Yes
Unknown
Yes
NCEI-CO
Data is backed up to tape and to cloud storage.
Processed Lidar
Organization
NV5
Originator
1
Data for the NOAA Michael Topobathymetric Lidar project area was acquired by Quantum Spatial (QSI) using a Leica Chiroptera 4X Topobathy lidar system. All derived LAS data was referenced to:
Horizontal Datum-NAD83(2011) epoch: 2010.00
Projection-UTM Zone 16N and UTM17N
Horizontal Units-meters
Vertical Datum-GRS80 Ellipsoid
Vertical Units-meters
The collected Lidar data were immediately processed in the field by QSI to a level that will allow QA\QC measures to determine if the sensor is functioning properly and assess the coverage of submerged topography. An initial SBET was created in POSPAC MMS 8.3 SP3 and loaded into RiProcess which applies pre-calibrated angular misalignment corrections of scanner position to extract the raw point cloud into geo-referenced LAS files. These files were inspected for sensor malfunctions and then passed through automated raster generation using LAStools to develop an initial assessment of bathymetric coverage. QSI reviewed all acquired flight lines to ensure complete coverage and positional accuracy of the laser points. These rasters were also used to create an initial product in Quick Look Coverage Maps. These Quick Look files are not fully processed data or final products but provide rapid assessment of approximate coverage and depth penetration.
QSI resolved kinematic corrections for aircraft position data using aircraft GNSS and Applanix's proprietary PP-RTX solution. When PP-RTX was not used QSI conducted static Global Navigation Satellite System (GNSS) ground surveys (1 Hz recording frequency) using base stations over known monument locations during flights. After the airborne survey, static GPS data were triangulated with nearby Continuously Operating Reference Stations (CORS) using the Online Positioning User Service (OPUS) for precise positioning. Multiple independent sessions over the same base station were performed to confirm antenna height measurements and to refine position accuracy.
This data was used to correct the continuous on board measurements of the aircraft position recorded throughout the flight. A final smoothed best estimate trajectory (SBET) was developed that blends post-processed aircraft position with attitude data. Using the SBETs, sensor head position and attitude were then calculated throughout the survey. Trimble Business Center v.3.90, Blue Marble Geographic Calculator 2019, and PosPac MMS 8.3 SP3 were used for these processes.
Following final SBET creation, QSI used Leica Lidar Survey Studio (LSS) to calculate laser point positioning by associating SBET positions to each laser point return time, scan angle, and intensity. Leica LSS was used to derive a synthetic water surface to create a water surface model. All LiDAR data below water surface models were classified as water column to correct for refraction. 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 tool corrects for this difference by adjusting the depth (distance traveled) and horizontal positioning (change of angle/direction) of the LiDAR data. Using raster-based QC methods, the output data is verified to ensure the refraction tool functioned properly.
Dewberry performed the calibration of the NOAA Michael Delivery 1 Lidar dataset in addition to the point cloud classification in order to create the final topobathymetric lidar deliverables which were subsequently reviewed by QSI.
2020-06-26T00:00:00
Processed Lidar
2
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. Dewberry created DZ rasters using proprietary processing tools. The intraswath or within a swath accuracy were verified using GIS software. Profiles of elevated planar features, such as roofs, were used to verify horizontal alignment between overlapping swaths.
All lidar data was peer-reviewed. QAQC also included creating void polygons for use during review. All necessary edits were applied to the dataset. NV5 Geospatial's proprietary software, LAS Monkey, 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.
The contractor delivered classification scheme is as follows:
1- Unclassified
2- Ground
7- Noise
40- Bathymetric bottom or submerged topography
41- Water surface
43- Submerged object
45- water column
46- overlap bathy bottom - temporally different from a separate lift
71- unclassified associated with areas of overlap bathy bottom/temporal bathymetric differences
72- ground associated with areas of overlap bathy bottom/temporal bathymetric differences
81- water surface associated with areas of overlap bathy bottom/temporal bathymetric differences
85- water column associated with areas of overlap bathy bottom/temporal bathymetric differences
1Overlap- Edge clip
1Withheld- Green laser returns in topo only areas
42Synthetic- derived water surface
All data was then verified by an Independent QC department. The independent QC was performed by separate analysts who did not perform manual classification or editing. The independent QC involved quantitative and qualitative reviews.
Processed Lidar
3
Dewberry transformed the final LiDAR data from ellipsoid heights to orthometric heights referenced to NAVD88, Geoid12b to create the final topobathymetric void clipped DEMs. The topobathymetric bare earth DEMs were output at 1 meter resolution in GeoTIFF format into 5000 m x 5000 m tiles. The rasters are clipped to the extent of the project boundary and named according to project specifications.
A bathymetric void shapefile was created to indicate areas where there was a lack of bathymetric returns. This shape was created by triangulating bathymetric bottom points with an edge length maximum of 4.56m to identify all areas greater then 9 square meters without bathymetric returns. This shapefile was used to clip and exclude interpolated elevation data from these areas in the bathymetric void clipped topobathymetric bare earth model.
Processed Lidar
4
The NOAA Office for Coastal Management (OCM) received tiff files in UTM Zone 17N and 16N 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 data were converted to Cloud Optimized GeoTiff (COG) format and the projection and vertical datum EPSG codes were assigned.
2. The data were copied to https
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
gov.noaa.nmfs.inport:69338
Blake Waring
2023-02-22T15:23:30
Kirk Waters
2024-01-10T19:28:43
2024-01-10
National Geodetic Survey
NGS
1002
Public
No
2023-01-30
2 Years
2025-01-30