2018 USGS Topobathy Lidar: Gulf Coast Islands

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NOAA
In October 2018, Quantum Spatial (QSI) was contracted by the United States Geological Survey (USGS) to collect high resolution topobathymetric Light Detection and Ranging (LiDAR) data in the winter of 2018 for the USGS Gulf Coast sites in the Gulf of Mexico. The USGS Gulf Coast project area covers approximately 174 square miles and is comprised of three main areas of interest; Chandeleur Island, Dauphin Island, and the Gulf Islands off the coast of Louisiana, Alabama, and Florida, respectively. Product: These lidar data are processed Classified LAS 1.4 files, formatted to 2,272 500 m x 500 m tiles. Geographic Extent: This dataset and derived products encompass an area covering approximately 471 square kilometers of south Florida, Louisiana, and Alabama. Traditional near-infrared (NIR) LiDAR was fully integrated with green wavelength (bathymetric) LiDAR in order to provide a seamless topobathymetric LiDAR dataset. Dataset Description: RAW flight line swaths were processed to create 2,272 classified LAS 1.4 files delineated in 500 m x 500 m tiles. Tile naming is based on the easting/northing location of the lower left corner of each tile. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. From the classified point cloud additional derived products include green and NIR intensity images, hydro-flattened breaklines, hydro-flattened DEMs, interpolated topobathymetric DEMs, clipped topobathymetric DEMs, and highest hit surface models of the study area. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc. Data acquisition was coordinated by Quantum Spatial and all lidar data calibration, and follow-on processing was completed by Quantum Spatial Ground Conditions: Acquisition below aircraft free of smoke, fog and cloud cover. NOAA OCM retrieved the processed lidar point cloud from the USGS rockyftp repository and processed it to the Digital Coast. This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
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