Product: This topobathy lidar dataset consists of processed classified LAS 1.4 files used to create intensity images and topobathymetric DEMs as necessary. Three project areas for this dataset are: 1. Lansing Shoals - 4273 individual 500 m x 500 m tiles 2. Green Bay - 1837 individual 500 m x 500 m tiles 3. Lake Huron - 2871 individual 500 m x 500 m tiles Geographic Extent: The Michigan coastline along parts of northern Lake Michigan and northern Lake Huron, covering approximately 627 square miles. 1. Lansing Shoals portion (Lake Michigan) of the AOI covers approximately 311 square miles 2. Green Bay portion (Lake Michigan) of the AOI covers approximately 116 square miles 3, Lake Huron portion of the AOI covers approximately 200 square miles Dataset Description: The Great Lakes Topobathymetric Lidar project called for the planning, acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 1 meter for bathymetric areas. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal projection/datum of NAD83 (2011), UTM zones 16N and 17N, meters and vertical datum of NAVD88 (Geoid 18), meters. Ground Conditions: 1. Lansing Shoals - Lidar was collected for the Lansing Shoals region from September 14, 2023 to September 25, 2023, while no snow was on the ground and rivers were at or below normal levels Green Bay - Lidar was collected for the Green Bay region from September 28, 2023 to October 5, 2023, while no snow was on the ground and rivers were at or below normal levels. 3, Lake Huron - Lidar was collected for the Northern Lake Huron region from September 16, 2023 to October 4, 2023, while no snow was on the ground and rivers were at or below normal levels.

These files contain rasterized topobathy lidar elevations generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is no...

These files contain classified topo/bathy lidar data generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is not gen...

The storm-induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards (NACCH) project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Light detection and ranging (lidar)-derived beach morphologic features such as dune crest, toe, and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high-water shoreline derived from the 2018 United States Army Corps of Engineers (USACE) National Coastal Mapping Project (NCMP) Post-Florence Topobathy Lidar: Southeast Coast lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.

NOAA Chesapeake Bay MD1902 and MD1903 Topobathymetric lidar data were collected by NV5 Geospatial (NV5) using a Leica Chiroptera 4x system. The MD1903 acquisition spanned from 20191109-20191115 in 5 missions. The MD1902 acquisition spanned from 20191109-20191116 in 6 missions. The datasets include topobathymetric data in LAS format 1.4, point data record format 6, with the following classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards: 1 - unclassified 2 - ground 7 - noise 40 - bathymetric bottom or submerged topography 41 - water surface 43 - submerged feature 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 1 Overlap - edge clip 1 Withheld- green sensor returns within topographic areas 42 Synthetic - synthetic water surface These data sets also includes lidar intensity values, number of returns, return number, time, and scan angle. The 100 meter buffered NOAA Chesapeake Bay MD1902 project area covers approximately 260.195 square kilometers in an area encompassing Severn River to Rhode River near Annapolis, Maryland. LAS files were compiled in 500 m x 500 m tiles. The final classified lidar data were then transformed from ellipsoid to geoidal height (Geoid12b) and used to create 23 - 5,000 m x 5,000 m topobathymetric DEMs in GeoTIFF format with 1m pixel resolution. The 100 meter buffered NOAA Chesapeake Bay MD1903 project area covers approximately 273.518 square kilometers in an area encompassing West River to Dares Beach near Annapolis, Maryland. LAS files were compiled in 500 m x 500 m tiles. The final classified lidar data were then transformed from ellipsoid to geoidal height (Geoid12b) and used to create 18 - 5,000m x 5,000 m topobathymetric DEMs in GeoTIFF format with 1m pixel resolution.

Original Data: These files contain rasterized topobathy lidar elevations generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native l...

These data were collected by Leading Edge Geomatics using a Riegl VQ-880-G II sensor. The data acqusition began January 20, 2019 through June 2, 2019. The data includes topobathy data in LAS 1.4 format classified as created, never classified (0); unclassified (1); ground (2); noise (7); bathymetric bottom (40); water surface (41); derived water surface (42); submerged object, not otherwise specified (e.g., wreck, rock, submerged piling) (43); International Hydrographic Organization S-57 object, not otherwise specified (44); no bottom found (bathymetric lidar point for which no detectable bottom return was received) (45); bathymetic bottom temporal changes (46) in accordance with project specifications.

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Leica Chiroptera 4X system. The data were acquired from 20210327 - 20210913. The data includes topobathy data in an LAS 1.4 format file classified as unclassified (1), ground (2), noise (7), water surface (topographic sensor) (9), high noise (18), bathymetric point (40), water surface (41), synthetic water surface (42), submerged feature (43) in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards. This data set may also include lidar intensity values.

Fugro was contracted in July 2017 by the State of Maine Department of Marine Resources (SMDMR), Maine Coastal Program (MCP), and the NOAA Office for Coastal Management (OCM) to conduct an Airborne LiDAR Bathymetry (ALB) survey in the vicinity of Blue Hill Bay in Maine, and to deliver fully processed and verified hydrographic survey data.The ALB survey was conducted with the SHOALS-1000T and Riegl VQ-820-G lidar systems in a concurrent acquisition. The SHOALS system, with a high power laser, provided the better probability for deep sounding detections at a reduced point density (about 0.15 pts/m2); whilst the VQ-820-Q provided high density coverage (up to 8.5 pts/m2) but at reduced depth detection. This metadata record describes the bare earth, 2 meter digital elevation model (DEM) created from the topographic and bathymetric LiDAR elevations generated from data collected with the SHOALS-1000T LiDAR system along Blue Hill Bay on the coastline of Maine. Data were collected by Fugro for NOAA OCM. The SHOALS system is a bathymetric LiDAR sensor for use in coastal mapping and charting activities because the laser's ability to penetrate the water column and detect targets up to 2.5 times the Secchi disk depth. Survey coverage was based on a delimiting polygon provided by NOAA OCM, which envelopes the area between the 0 m contour (NAVD88) down to approximated -10 meters. An additional horizontal buffer of 100 meters from the 0 m contour expanded the survey area coverage to include the adjacent emerged topography. SHOALS data have been processed on Optech SHOALS-GCS and QPS Fledermaus software packages for: auto-processing; calibration, cleaning and editing, validation, basic classification, and exported to LAS format. In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEM data were created from, are also available. These data are available for custom download at the link provided in the URL section of this metadata record. A topographic and bathymetric reflectance raster are also available. These data are available for download at the link provided in the URL section of this metadata record. A link to custom download the bare earth DEM that was created from the concurrently collected topographic and bathymetric data (collected with the Riegl VQ-820-G lidar system) is provided in the URL section of this metadata record.

Morro Bay 2022 Topobathymetric Lidar project data were collected by NV5 Geospatial (NV5) using a Riegl VQ880GII system. Morro Bay 2022 acquisition occurred on 20220614 in two missions. The Morro Bay 2022 dataset includes topobathymetric lidar data in a LAS format 1.4, point data record format 6, with the following classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards with the topobathymetric lidar domain profile: 1 - unclassified 1O - edge clip 2 - ground 7W - low noise 9 - NIR water surface 18W - high noise 40 - bathymetric bottom or submerged topography 41 - Green water surface 43 - Submerged object, not otherwise specified (For Morro Bay, oyster reefs have this classification, even though exposed at low tide) 45 - water column This dataset also includes lidar intensity values, number of returns, return number, time, and scan angle. The 100 meter buffered project area covers approximately 4,215 acres along the south central Pacific Coast of California near the town of Los Osos. LAS files were compiled in 500 m x 500 m tiles and clipped to the project boundary. The final classified lidar data were used to create topobathymetric bare earth DEMs in GeoTIFF format with 1m pixel resolution. This delivery of the Morro Bay 2022 dataset represents an area covering 97 - 500 m x 500 m LAS tiles clipped to the project boundary. This Project was completed in partnership between NOAA OCM and the NEP. In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record.

description: These Digital Elevation Model (DEM) files contain rasterized topobathy lidar elevations at a 1 m grid size, generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Horizontal positions, provided in decimal degrees of latitude and longitude, are referenced to the North American Datum of 1983 Pacific Adjustment of 2011 (NAD83 PA11). Vertical positions are referenced to the Local Mean Sea Level (LMSL) and provided in meters. The 3-D position data are used to generate a series of gridded file products, which are tiled into quarter-quads or 5 km boxes. In addition to the bare earth DEMs, the topobathy lidar point data are also available. These data are available for custom download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6268 DEMs that were created from all classes of points (1, 2, 29) at a 1 meter grid size are available by request via email at: coastal.info@noaa.gov.; abstract: These Digital Elevation Model (DEM) files contain rasterized topobathy lidar elevations at a 1 m grid size, generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Horizontal positions, provided in decimal degrees of latitude and longitude, are referenced to the North American Datum of 1983 Pacific Adjustment of 2011 (NAD83 PA11). Vertical positions are referenced to the Local Mean Sea Level (LMSL) and provided in meters. The 3-D position data are used to generate a series of gridded file products, which are tiled into quarter-quads or 5 km boxes. In addition to the bare earth DEMs, the topobathy lidar point data are also available. These data are available for custom download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6268 DEMs that were created from all classes of points (1, 2, 29) at a 1 meter grid size are available by request via email at: coastal.info@noaa.gov.

NOAA Florence Topobathymetric Lidar data were collected by NV5 Geospatial (NV5) in 9 blocks from 20191126 - 20200825 using the follow sensors: Block01 -Riegl VQ880GII system Block02 - Riegl VQ-880-G and Riegl VQ-880-GII systems Block03 - Riegl VQ880G, Riegl VQ880GII, and Riegl VQ880GH systems Block04 - Riegl VQ880GII and Leica Chiroptera 4x systems Block05 - Riegl VQ880GII, Leica Chiroptera 4x and Hawkeye systems Block06 - Riegl VQ880GII, Leica Chiroptera 4x and Hawkeye systems Block07 - Riegl VQ880G, Riegl VQ880GII, and Leica Chiroptera 4x systems Block08 - Riegl VQ880G and Riegl VQ880GII systems Block09 - Riegl VQ880G and Riegl VQ880GII systems This dataset includes topobathymetric data in a LAS format 1.4, point data record format 6, with classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards. This data set also includes LiDAR intensity values, number of returns, return number, time, and scan angle. The 100 meter buffered project area consists of approximately 3,075,010 acres along the Eastern coast of Virginia, North Carolina, and South Carolina. The delivered classified lidar data were then transformed from ellipsoid to geoidal height (Geoid18) and used to create topobathymetric DEMs in GeoTIFF format with 1m pixel resolution.

Woolpert, Inc. was contracted to acquire and process topographic-bathymetric lidar for the islands of Anatahan, Alamagan, Guguan, and Sarigan in response to Hurricane Yutu for Quantum Spatial, Inc. (QSI). Woolpert collected lidar using their Leica HawkEye 4X (HE4X) topo-bathy lidar sensor that consists of a Chiroptera 4X (CH4X) sensor, with an additional Leica 40kHz deep bathymetric channel to provide high density topo lidar. The HE4X is a latest generation topographic and bathymetric lidar sensor. The system provides denser data than previous traditional bathymetric lidar systems. It is unique in its ability to acquire bathymetric lidar, topographic lidar and 4-band digital camera imagery simultaneously. The HE4X provided 300 kHz topographic data, an effective 140 kHz shallow bathymetric data and 40 kHz deep bathymetric data. 4-band 80 MP digital camera imagery was also collected simultaneously with the sensor’s RCD-30 camera. The bathymetric and topographic lasers are independent and do not share an optical chain or receivers, so they are optimized for their specific function. As with any bathymetric lidar, maximum depth penetration is a function of water clarity and seabed reflectivity. The HE4X is designed to penetrate to 3 times the secchi depth. This is also represented as Dmax = 4/K, where K is the diffuse attenuation coefficient, and assuming K is between 0.1 and 0.3, a normal sea state and 15% seabed reflectance. Both the topographic and bathymetric sub-systems use a palmer scanner to produce an elliptical scan pattern of laser points with a degree of incidence ranging from +/-14 degrees (front and back) to +/-20 degrees (sides), providing a 40 degrees field of view. This has the benefit of providing multiple look angles on a single pass and helps to eliminate shadowing effects. This can be of particular use in urban areas, where all sides of a building are illuminated, or for bathymetric features such as the sides of narrow water channels or features on the seafloor such as smaller objects and wrecks. It also assists with penetration in the surf zone where the back scan passes the same ground location a couple of seconds after the front scan, allowing the areas of whitewater to shift. All topo lidar data for this project were collected simultaneous to meet United States Geological Survey, Quality Level 1 (USGS QL1) with a minimum of 8 pts per square meter at an accuracy of 10cm RMSEz. A minimum of 2 points per square meter were acquired for bathymetric lidar data. For practical purposes the survey area was divided into survey blocks in each island, allowing acquisition to be conducted in the most efficient and consistent manner possible. The data includes topobathy data in an LAS 1.4 format file along with associated bare earth digital elevation models (DEM). The dataset was derived from topobathymetric data in a LAS format 1.4, point data record format 6, with the following classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards: 1 - unclassified 2 - ground 7 - noise 40 - bathymetric bottom or submerged topography 41 - water surface 42 - derived water surface 43 - manmade submerged feature 45 - water column 1 Overlap - edge clip 1 Withheld - bathy land User data values differentiates between NIR and green lasers. A value of of 1 indicates the point is from the NIR laser, and a values of 2-5 indicate the green laser. This dataset is the Sarigan ellipsoid point cloud data set.

These data were collected by the National Oceanic and Atmospheric Administration (NOAA), National Geodetic Survey (NGS), Remote Sensing Devision (RSD), Coastal Mapping Program (CMP) using a Riegl VQ880G system. Quantum Spatial Inc (QSI) was contracted by NOAA to process the topobathymetic LiDAR data. The NOAA Miami Florida Intracoastal Topobathy (Miami Intracoastal) data were acquired from 20170224 - 20170310 in five missions. The Miami Intracoastal dataset includes topobathy data in a LAS 1.2 format file with the following classification: unclassified (1), ground (2), noise (7), overlap default (19), overlap ground (20), overlap water column (21), water column (25), bathymetric bottom or submerged topography (26), submerged feature (29), and temporal bathy bottom (31) in accordance with project specifications. The contracted project consists of approximately 53,381 acres along the Atlantic Coast of Miami, Florida. This dataset delivery represents the full NOAA Miami Florida Intracoastal Topobathy LiDAR Processing area. LAS files were compiled by 500 m x 500 m tiles. The final classified LiDAR data were then used to create topobathymetric DEMs in IMG format with 1m pixel resolution. This Miami Intracoastal dataset represents an area covering 15 - 5000 m x 5000 m DEM tiles.

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ880G system. The data were acquired from 20170320-20170405. The data includes topobathy data in an LAS 1.2 format file with possible classifications as 1 - unclassified, 2 - ground, 7 - topo noise, 26 - bathymetric bottom or submerged topography, 27 - water surface, 29 - submerged object. This data set may also include lidar intensity values and encoded RGB image values.

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ820G system. The data were acquired from 20151104 - 20151109. The data includes topobathy data in an LAS 1.2 format file classified as unclassified (1), ground (2), noise (7), bathymetric point (24), sensor noise refracted (26), topobathy water surface (27), and International Hydrographic Organization (IHO) S-57 object (30) in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards. This data set may also include lidar intensity values and encoded RGB image values. Original contact information: Contact Org: National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division Title: Chief, Remote Sensing Division Phone: 301-713-2663

The 2019 - 2020 NOAA NGS Topobathy Lidar: 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 data in a LAS format 1.4, point data record format 6.

This data set also includes Lidar intensity values, number of returns, return number, time, and scan angle. LAS files were compiled into a total of 44,926 500 m x 500 m tiles.

These files contain classified topo/bathy lidar data generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is not gen...

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ820G system. The data were acquired from 20160721 - 20161121. The data includes topobathy data in an LAS 1.2 format file classified as unclassified (1), noise (7), and bathymetric point (26) in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards. This data set may also include lidar intensity values and encoded RGB image values. A digital elevation model was then derived from the lidar points. Original contact information: Contact Org: National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division Title: Chief, Remote Sensing Division Phone: 240-533-9576

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ880G system. The data were acquired from 20160506 - 20160517. The data includes topobathy data in an LAS 1.2 format file classified as unclassified (1), ground (2), noise (7), bathymetric point (26), topobathy water surface (27), and International Hydrographic Organization (IHO) S-57 object (30) in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards. This data set may also include lidar intensity values and encoded RGB image values. Original contact information: Contact Org: National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division Title: Chief, Remote Sensing Division Phone: 240-533-9576