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.

The U.S. Geological Survey (USGS) contracted with Hawaii-based Aerial Surveying, Inc. to collect lidar-derived elevation data over the low-lying areas within the northwestern Hawaiian Islands (NWHI) during the summer of 2010. A separate contract issued to Aerial Surveying, Inc. by the National Oceanic and Atmospheric Administration (NOAA) funded the lidar data processing and elevation data product development phases of the project. Lidar data provide high resolution digital elevation models that are used for many applications, including but not limited to sea level rise modeling, habitat assessments, and tsunami inundation modeling. In April 2011, NOAA Papahanaumokuakea Marine National Monument and NOAA Office for Coastal Management deployed a survey crew to the NWHI to collect high accuracy point data to validate the 2010 lidar data. The survey crew used survey-grade Global Positioning System (GPS) receivers to collect high accuracy elevation points. This metadata covers the information for French Frigate Shoals. This dataset contains lidar point clouds in LAS 1.2 format, classified according to the ASPRS LAS 1.2 class table. The following are the equipment used to create the lidar data sets. Aircraft: Beechcraft Queen Air Lidar Systems: Riegl 140 and 240 Accuracy statements are based on areas of open terrain, with points classified as ground. The accuracy of each point is expected to meet the vertical accuracy standard, derived products may be less accurate in areas of extreme terrain and dense vegetation due to a lesser number of points defining the ground in these areas. Classified data sets such as this one may have varying posting due to some pulses not reaching the ground. This work was conducted under permit number PMNM-2010-033 as approved by NOAA, the U.S. Fish and Wildlife Service (USFWS), and the State of Hawaii, and acknowledged by Dr. Charles L. Littnan of NOAA's Pacific Islands Fisheries Science Center. Original contact information: Contact Name: Lidar Manager Contact Org: Aerial Surveying Inc. Title: Lidar Manager Phone: (808) 327-9439

The United States Virgin Islands Topographic LiDAR project collected topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements on the islands of St. Thomas, St. John, St. Croix and numerous smaller islands and islets in the United States Virgin Islands. The islands of St. Thomas and St. John were acquired between November 9, 2013 and November 19, 2013. The island of St. Croix was acquired between November 27, 2013 and December 10, 2013. The entire area was comprised of 88 planned flight lines and approximately 1669 flight line kilometers. LiDAR was collected at an average of 0.7 meter point spacing for all acquired project areas. The classification classes as available from the NOAA Digital Coast are: 1 (Unclassified), 2 (Bare-earth ground), 7 (Noise), 9 (Water), 10 (Ignored Ground, points close to breakline features), 16 (Overlap Water), 17 (Overlap Unclassified), 18 (Overlap Bare-earth ground). Hydro flattened breaklines and Digital Elevation Models (DEMs) are also available for download. Please see the Supplemental Information field below for links to these data sets. Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov

The Oahu, Hawaii Elevation Data Task Order involves collecting and delivering topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements on the island of Oahu in Hawaii. The Statement of Work (SOW) for the area covering the northern 2/3 of Oahu was developed by the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management. A separate but related task order was issued by the USGS National Geospatial Technical Operations Center (NGTOC), under their Geospatial Products and Services Contract (GPSC), to leverage the same resources committed to the NOAA LiDAR project for the acquisition of LiDAR data in the southern 1/3 portion of Oahu. The combined task orders yielded one study area covering the entire island of Oahu. The data collected for the island of Oahu will exhibit Hydro Flattened DEMs for inclusion into the NED. The purpose of the data is for use in coastal management decision making, including applications such as flood plain mapping and water rights management. The point density for this data set was specified in the SOW at 1.15 pts/m2. The NOAA Office for Coastal Management tested the NPS (nominal pulse spacing) for this data set in April 2015. The NPS was determined to be 0.84 m. The data used in the NPS determination were the first returns of classes 1,2,9, and 10.

This data was collected by NOAA using a Riegl VQ880G sensor. The data was acquired August 5, 2017. The data includes topobathy data in LAS 1.2 format classified as created,unclassified (1); ground (2); topographic noise (7); bathymetric noise (22); water column (25); bathymetric bottom (26); water surface (27); International Hydrographic Organization S-57 object; not otherwise specified (30), in accordance with project specifications. The project consists of approximately 34 square miles of data along the shores of St. Jeromes Creek. This dataset contains 342 500 m x 500 m lidar tiles.

These data were collected by Dewberry using a CZMIL Nova system. The data were acquired from 20210126 - 20210227. 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) in accordance with project specifications; temporal surface not used in bathymetric classification (65). This dataset consists of approximately 225 square miles of data along the shores of Tampa Bay and contains 3,180 500 m x 500 m lidar tiles.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data to support the compilation of nautical charts and for safe navigation and to provide basic data for engineering, scientific and other commercial and industrial activities. Hydrographic survey data consists primarily of water depths but also includes features (rocks, wrecks, etc.), navigational aids, shoreline and some bottom type information. Such data can also be used for storm surge modeling and fish habitat studies and support a variety of maritime functions such as port and harbor maintenance, coastal engineering, and coastal zone management.

These data were collected by NOAA using a Riegl VQ880G sensor. The data were acquired from May 11, 2016 through May 14, 2016. The data includes topobathy data in LAS 1.2 format classified as created, unclassified (1); ground (2); noise (7); bathymetric noise (22); water column (25); bathymetric bottom (26); water surface (27); International Hydrographic Organization S-57 object, not otherwise specified (30); in accordance with project specifications. The project consists of approximately 85 square miles of data along the shores of Boca Grande. This dataset contains 1,053 500 m x 500 m lidar tiles.

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ880G system. The data were acquired from 20140829 - 20140919. The data includes topobathy data in an LAS 1.2 format file classified as unclassified (1), ground (2), noise (7), water column (25), bathymetric point (26), topobathy water surface (27), submerged object (29), and International Hydrographic Organization (IHO) S-57 object (30) in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards. This data set may also include lidar intensity values and encoded RGB image values. Original contact information: Contact Name: Chief, Remote Sensing Division Contact Org: National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division Phone: 301-713-2663

These data were collected by Dewberry using a CZMIL Super Nova system. The data were acquired from 20220224 through 20220601. 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); no bottom found (bathymetric lidar point for which no detectable bottom return was received) (45); submerged aquatic vegetation (64); and temporal bathymetric bottom (65) in accordance with project specifications. The project consists of approximately 615 square miles of data along the shores of Indian River Lagoon and contains 136 5000 m x 5000 m DEM tiles.