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.

The NOAA Maine Topbathymetric Lidar was collected by NV5 using Leica Chiroptera Hawkeye 4X systems. The lidar acquisitions were flown between 20221006 and 20231216 in 120 missions. The final classified lidar data were then transformed from ellipsoid (GRS80) to geoidal height (Geoid18) and used to create topobathymetric DEMs in Cloud Optimized GeoTIFF format with 1m pixel resolution.

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 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.

Morro Bay 2022 topobathymetric Lidar area data were collected by NV5 Geospatial (NV5) using a Riegl VQ880GII system. Morro Bay 2022 data acquisition occurred on 20220614 in two missions. The Morro Bay 2022 dataset includes 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 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 data set 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 clipped to the project boundary. The final classified Lidar data were used to create topobathymetric DEMs in GeoTIFF format with 1m pixel resolution. This delivery of the Morro Bay 2022 dataset represents an area covering 96 - 500 m x 500 m DEM tiles clipped to the project boundary. One tile (MRR22_088) did not have any valid bathymetric bottom or ground points and so it did not produce a valid dem. This Project was completed in partnership between NOAA OCM and the NEP. 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.

These data were collected by Dewberry using a CZMIL Super Nova system. The data were acquired from 20221027 through 20221129. 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); and submerged object, not otherwise specified (e.g., wreck, rock, submerged piling) (43) in accordance with project specifications. The project consists of approximately 1,373 square miles of data along the shores of Big Bend and contains 220 5000 m x 5000 m DEM tiles. This North Block dataset contains 102 5000 m x 5000 m DEM tiles.

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.

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.