These data were collected by Dewberry using a CZMIL Super Nova system. The data were acquired from 20220719 through 20220816. The data are rasterized topobathy lidar elevations at a 1 m grid spacing. This dataset consists of approximately 219 square miles of data along the shores of Green Bay and contains 2,630 500 m x 500 m GeoTiff files. 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 from the NOAA Digital Coast. A link to these data are provided in the URL section of this metadata record.

This data was collected by Woolpert using a Leica Hawkeye4X system. The data were acquired from from November 3, 2022 through March 5, 2023. The data includes topobathy 1m gridded DEM data generated from classes ground (2) and bathymetric point (40) in the classified point cloud, in accordance with project specifications. The project consists of approximately 3251 square kilometers of data along the Chesapeake Bay coastline. This dataset contains 5000m x 5000m topobathy 1m DEM tiles.

This data was collected by Woolpert using a Leica Hawkeye4X system. The data were acquired from from November 3, 2022 through Feburary 5, 2023. The data includes topobathy 1m gridded DEM data generated from classes ground (2), bathymetric point (40) and submerged object (43) in the classified point cloud, in accordance with project specifications. The project consists of approximately 3251 square kilometers of data along the Chesapeake Bay coastline. This dataset contains 5000m x 5000m topobathy 1m DEM tiles.

This data was collected by Woolpert using a Leica Hawkeye4X system. The data were acquired from from November 3, 2022 through Feburary 5, 2023. The data includes topobathy 1m gridded DEM data generated from classes ground (2), bathymetric point (40) and submerged object (43) in the classified point cloud, in accordance with project specifications. The project consists of approximately 3251 square kilometers of data along the Chesapeake Bay coastline. This dataset contains 5000m x 5000m topobathy 1m DEM tiles.

These data were collected by Woolpert using a Leica Hawkeye4X system. The data were acquired from from November 3, 2022 through March 5, 2023. The data includes topobathy data in an LAS 1.4 format file classified as unclassified (1), ground (2), low noise (7), topo water surface (9), high noise (18), bathymetric point (40), bathymetric water surface (41), synthetic derived water surface (42), and submerged object (43), in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards.

These data were collected by Woolpert using a Leica Hawkeye4X system. The data were acquired from from November 3, 2022 through March 5, 2023. The data includes topobathy data in an LAS 1.4 format file classified as unclassified (1), ground (2), low noise (7), topo water surface (9), high noise (18), bathymetric point (40), bathymetric water surface (41), synthetic derived water surface (42), and submerged object (43), in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards.

These data were collected by Woolpert using a Leica Hawkeye4X system. The data were acquired from from November 3, 2022 through February 5, 2023. The data includes topobathy data in an LAS 1.4 format file classified as unclassified (1), ground (2), low noise (7), topo water surface (9), high noise (18), bathymetric point (40), bathymetric water surface (41), synthetic derived water surface (42), and submerged object (43), in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards.

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.

These data were collected by Dewberry using a CZMIL Super Nova system. The data were acquired from 20220719 through 20220816. 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). This dataset consists of approximately 219 square miles of data along the shores of Green Bay and contains 2,630 500 m x 500 m LAS tiles. In addition to the lidar point data, topobathy bare earth Digital Elevation Models (DEMs) at a 1 meter grid spacing, created from the lidar point data are available from the NOAA Digital Coast. A link to this data is provided in the URL section of this metadata record.

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 ellipsoid point cloud data set.