Original Product: Classified LAZ 1.4 files, formatted to 825 individual 750m x 750m tiles covering the NOAA AK Coastal Communities 2023 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: 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 4N, Meters. Lidar data was delivered as calibrated and classified LAZ 1.4 files. 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. 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 were free of snow and acquisition occurred free of smoke, fog and cloud cover.

Original Product: Hydroflattened Digital Elevation Model (DEM) data covering the NOAA AK Coastal Communities 2023 project area. Original Geographic Extent: This dataset and derived products encompass six areas in southwest Alaska, covering approximately 183,738 acres. Original Dataset Description: Lidar flight line swaths were processed to create 1,611 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 1,611 - 0.5 meter hydro-flattened Raster DEMs delineated in 750m x 750m tiles tiles. Non-Vegetated Vertical Accuracy (NVA) was assessed using 124 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 37 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 rivers and lakes within the study area. Ground Condition: Ground conditions were free of snow 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 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: 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

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

NOAA Southeast AK Topobathymetric Lidar data were collected by NV5 Geospatial (NV5) using Leica Hawkeye 4X and Riegl 1560i systems and delivered to NOAA in four blocks. The NOAA Southeast AK Topobathymetric Lidar Block01 was acquired between 20210608 and 20210730 in 13 missions, Block02 was acquired between 20210611 and 20210730 in 14 missions, Block03 was acquired between 20210730 and 20210823 in 6 mission and Block 04 was acquired between 20210625 and 20210823 in 7 missions. The four block 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 2 - ground 7 Withheld -low noise 18 Withheld - high noise 40 - bathymetric bottom or submerged topography 41 - water surface 42 Synthetic- Chiroptera synthetic water surface 43 - submerged feature 45 - water column 64 - Submerged Aquatic Vegetation (SAV) 65 - 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 82 Synthetic - Chiroptera synthetic 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 Withheld - edge clip 1 Overlap Withheld - unrefracted green data from Chiroptera sensor The channel bits are as follows: 0 - Riegl VQ1560 NIR channel A and Chiroptera green shallow laser 1 - Riegl VQ1560 NIR channel B and Chiroptera/Hawkeye synthetic water surface 2 - Hawkeye green deep laser 3 - Chiroptera NIR The user byte is mapped as the following: 0 - Riegl NIR channel A 1 - Riegl NIR channel B 10 - Chiroptera green shallow 11 - Chiroptera green shallow 4X 12 - Chiroptera green shallow synthetic 20 - Hawkeye green deep 21 - Hawkeye green deep 4X 22 - Hawkeye green deep synthetic 30 - Chiroptera NIR Data in all blocks includes lidar intensity values, number of returns, return number, time, and scan angle. The block01 boundary extent covers 103,002 acres , the Block02 boundary extent covers 76,119 acres, the block03 boundary extent covers 55,929 acres and Block04 boundary extent covers 18,351 acres of the combined topographic and bathymetric project boundaries. After the initial Southeast AK Topobathymetric Lidar submission, NOAA reviewed the data and provided NV5 Geospatial with a feedback edit review. NV5 Geospatial has corrected these feedback edits and incorporated them into the final block datasets. Additionally, green laser intensity values were normalized for depth for the dataset resulting in a full redelivery of all LAS files. LAS files were compiled in 500 m x 500 m tiles.

In April 2019, Quantum Spatial (QSI) was contracted by The National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management (OCM) in partnership with the Great Bay National Estuarine Research Reserve (GBNERR) to collect high resolution Light Detection and Ranging (LiDAR) data in the spring of 2019 for four research sites within the GBNERR in New Hampshire. These four sites are “Sentinel Sites” within the GBNERR where vegetation and elevation parameters have previously been continuously monitored and surveyed using traditional methods that require extensive person hours and manual labor. 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.

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.

Original Dataset Product: 0.5-meter bare-earth raster digital elevation model (DEM) data tiles in GeoTIFF format. Original Dataset Geographic Extent: HI_NOAAMauiOahu_1: The work unit covers approximately 446 square miles (260.7 square miles of Molokai, 140.7 square miles of Lanai, and 44.6 square miles of Kahoolawe in the state of Hawaii). HI_NOAAMauiOahu_2: The work unit covers approximately 540.86 square miles of Maui and 496.61 square miles of Oahu in the state of Hawaii. Original Dataset Description: HI_NOAAMauiOahu_1 (Kahoolawe, Lanai, Molokai) HI_NOAAMauiOahu_1_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 4 (EPSG 6634), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. DEM data was delivered as processed GeoTIFF files formatted to 5,044 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons. HI_NOAAMauiOahu_2 (Maui, Oahu) HI_NOAAMauiOahu_2_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 4 (EPSG 6634), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. DEM data was delivered as processed GeoTIFF files formatted to 11,716 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons. Original Dataset Ground Conditions: HI_NOAAMauiOahu_1 (Kahoolawe, Lanai, Molokai) Lidar was collected from August 2, 2022, through July 9, 2023 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 ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional independent accuracy checkpoints were collected throughout the entire project area and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. HI_NOAAMauiOahu_2 (Maui, Oahu) Lidar was collected from January 11, 2023, through July 7, 2023

This dataset is a LiDAR (Light Detection and Ranging) point cloud of the coastal tidal parts of Skagit and Snohomish Counties in WA State. The National Oceanic and Atmospheric Administration’s Office for Coastal Management contracted with Tetra Tech to acquire and process airborne LiDAR over an area of about 186 square miles. Data was to be acquired within a 2 hour window of low tide. Deliverables included classified LiDAR point clouds, breaklines and digital elevation models (DEM). LiDAR data was acquired on 13 and 14 of August 2019. The coastal area was covered in one flight on 8/14 while the inland area was covered on 8/13. The coastal flight took place on 8/14 with a tide window between -0.7 and +0.5 foot. For the airborne LiDAR flight Tetra Tech subcontracted with Eagle Mapping. The data was acquired with a Riegl LMS VQ780i sensor. A ground control survey was conducted to collect calibration points and check points. For the ground survey, Tetra Tech contracted with Compass Data. The LiDAR data and derivative products were to be based on the USGS LiDAR Base Specifications. The coordinate reference system is UTM Zone 10N meters, NAD83(2011). The vertical datum is NAVD88 with Geoid12B.