Original Data: These files contain rasterized topographic lidar elevations generated from data collected using a Teledyne ALTM Galaxy PRIME sensor. Native lidar data is not generally in a format accessible to most Geographic Information Systems (GIS). Specialized in-house and commercial software packages are used to process the native lidar data into 3-dimensional positions that can be imported into GIS software for visualization and further analysis. Horizontal positions are referenced to the North American Datum of 1983 Universal Transverse Mercator Zone 16 North (NAD83 UTM Zone 16N). Vertical positions are referenced to the NAD83 (2011) ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID18 model is used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88). The 3-D position data are sub-divided into a series of LAS files, which are tiled into 1-km by 1-km boxes defined by the Military Grid Reference System. The data were provided to the NOAA Office for Coastal Management (OCM) by the USACE Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) to make the data publicly available for bulk and custom downloads from the NOAA Digital Data Access Viewer (DAV).

BERKELEY, CHARLESTON, ORANGEBURG LIDAR DATA COLLECTION Lidar Data Acquisition and Processing Production Task Charleston County Contract Number: 6004 RFQ Number: 6004-25C Woolpert Order No: 10020258 CONTRACTOR: Woolpert Lidar data is a remotely sensed high-resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. This task order requires lidar data to be acquired over Charleston County (+/- 1,197 square miles). This lidar data set is comprised of lidar point cloud data, raster DEMs, raster DSMs, raster intensity imagery, and GPS flight line trajectory data. The task required the lidar data to be collected at a nominal pulse spacing (NPS) of 1.15 feet. The lidar dataset was produced using a horizontal datum/projection of NAD83, State Plane South Carolina, International Feet and a vertical datum of NAVD88 (Geoid 18), International Feet. Tidal areas in Charleston's data acquisition were collected within +/- 2 hours of low tide. Additional deliverables include control data and tile index in Esri shapefile format, lidar processing and survey reports in PDF format, and project-level FGDC CSDGM metadata in XML format. This data was provided to the NOAA Office for Coastal Management (OCM) by the Charleston County Public Works Department, for the purpose of making the data publicly available for custom and bulk downloads from the NOAA Digital Coast Data Access Viewer.

This task is for a high-resolution data set of lidar covering the entire Wood County area (+/- 621.4 sq. mi). The lidar was collected and processed to meet a maximum Nominal Post Spacing (NPS) of 0.25 meter (16ppsm). Lidar data is a remotely sensed high resolution elevation data collected by a Leica City Mapper digital sensor active scanning (lidar) sensor. Lidar was collected on March 21 2022, and March 22, 2022 while no snow was on the ground, leaf-off and rivers were at or below normal levels. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The data was developed based on a horizontal datum/projection of NAD 83(HARN) State Plane Ohio North FIPS 3401 and a vertical datum of NAVD88 in units of US Survey Feet. Lidar data was delivered as processed LAS version 1.4 files formatted to 11,524 individual 1,250' x 1,250' tiles. This dataset was downloaded by the NOAA Office for Coastal Management (OCM) from the Ohio Geographically Referenced Information Program (OGRIP) to make the data available for bulk and custom downloads from the NOAA Digital Coast Data Access Viewer.

Original Product: Hydroflattened Digital Elevation Model (DEM) data covering the NOAA AK Communities 2025 project area. Original Dataset Geographic Extent: This dataset and derived products encompass five areas covering approximately 92,475 acres of Southwest Alaska. Original Dataset Description: Lidar flight line swaths were processed to create 825 classified LAS 1.4 files delineated in 750m x 750m tiles tiles. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create 825 - 0.5 meter hydro-flattened Raster DEMs delineated in 750m x 750m tiles tiles. Non-Vegetated Vertical Accuracy (NVA) was assessed using 101 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 26 check points in Tall Grass, Forest, and Shrub landcover types. Additional products include classified LAS files, intensity images, maximum surface height rasters, and 3D breaklines of water bodies within the study area. Ground Condition: Ground conditions were free of snow and acquisition occurred free of smoke, fog and cloud cover.

Original Product: Classified LAZ 1.4 files, formatted to 2,298 individual 750m x 750m tiles covering the NOAA AK Communities 2023 project area. Original Geographic Extent: This dataset and derived products encompass an area covering approximately 286,327 acres of Southwest Alaska. Original Dataset Description: The NOAA AK Communities 2023 Lidar project called for the planning, acquisition, and processing of lidar data collected to Quality Level 1 (QL1) standards. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2023, Revision A. The data was developed based on the NAD83 2011 horizontal datum and the NAVD88 Geoid 12b vertical datum. Data was projected in UTM Zone 5N, Meters. Lidar data was delivered as calibrated and classified LAZ 1.4 files. Non-Vegetated Vertical Accuracy (NVA) was assessed using 43 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 19 check points in Tall Grass, Forest, and Shrub landcover types. Single swath nominal pulse spacing (NPS) was designed to be 0.35 at nadir. Aggregate Nominal Pulse Spacing (ANPS) was calculated to be 0.269 with the Riegl VQ-780ii-S and 0.298 with the Riegl 1560iiS using all valid first return points. Derived products include: Intensity Imagery, Hydro-flattened Bare Earth Digital Elevation Models (DEMs), Maximum Surface Height Rasters (MSHRs), and 3D waters edge breaklines. Ground Condition: Ground conditions contained snow at high elevations and acquisition occurred free of smoke, fog and cloud cover

Original Product: Hydroflattened Digital Elevation Model (DEM) data covering the NOAA AK Communities 2025 project area. Original Geographic Extent: This dataset and derived products encompass an area covering approximately 286,327 acres of Southwest Alaska. Original Dataset Description: Lidar flight line swaths were processed to create 2,299 classified LAZ 1.4 files delineated in 750m x 750m tiles. Each LAZ file contains lidar point information, which has been calibrated, controlled, and classified. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create 2,299 - 0.5 meter hydro-flattened Raster DEMs delineated in 750m x 750m tiles. Non-Vegetated Vertical Accuracy (NVA) was assessed using 43 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 19 check points in Tall Grass, Forest, and Shrub landcover types. Additional products include classified LAZ files, intensity images, maximum surface height rasters, and 3D breaklines of water bodies within the study area. Ground Condition: Ground conditions contained snow at high elevations and acquisition occurred free of smoke, fog and cloud cover

Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format. Geographic Extent: Approximately 4,028 square miles encompassing the Big Island of Hawaii. Dataset Description: The HI Hawaii Island Lidar NOAA 2017 B17 lidar project called for the planning, acquisition, processing, and production of derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification 2020 Revision A. The data was developed based on a horizontal datum/projection of NAD83 (PA11) UTM Zone 5N Meters (EPSG 6635) and a vertical datum of NAVD88 (GEOID12B) Meters. Lidar data was delivered as processed LAS 1.4 files formatted to 8,629 individual 1,000-meter x 1,000-meter tiles. Ground Conditions: Lidar was collected from January 30, 2018 through January 6, 2020 by Leica Geosystems, Inc. while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 70 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. Additional independent accuracy checkpoints were collected by NOAA and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. This dataset has been noted to have issues with ground classification in areas of dense vegetation. Please read the data use constraints section for further details.

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.

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.

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.