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...

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the Florida Panhandle, West digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Escambia, Santa Rosa, Okaloosa and Walton Counties. The DEM was produced from the following lidar data sets: 1. 2017 NWFWMD Escambia and Santa Rosa FL Lidar 2. 2017 NWFWMD Lower Choctawhatchee Lidar 3. 2018 USGS Panhandle FL Lidar 4. 2018 Leon County 5. 2008 NWFWMD Lidar: Walton County (Eglin AFB) 6. 2007 FDEM Coastal Lidar: Coastal Okaloosa County 7. 2008 NWFWMD Lidar: Inland Okaloosa County 8. 2006 NWFWMD Lidar: Escambia, Santa Rosa, and Walton Counties The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

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 approxi...

Original Dataset Product: 0.5-meter bare-earth raster digital elevation model (DEM) data tiles in GeoTIFF format. Original Dataset Geographic Extent: HI_NOAAMauiOahu_3: The work unit covers approximately Approximately 306 square miles on the eastern side of the big island of Hawaii. Original Dataset Description: HI_NOAAMauiOahu_3 (Big Island) The HI_NOAAMauiOahu_3_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 5 (EPSG 6635), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. DEM data was delivered as processed GeoTIFF files formatted to 3,450 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_3 (Big Island) Lidar was collected from February 14, 2023, through March 15, 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.

Many different partners and groups, and several Center-led data projects, have contributed to the lidar data collection housed and distributed by the NOAA Office for Coastal Management. The data span more than two decades and were collected using many different sensors. The collection includes data from topographic and bathymetric lidar sensors. Data are available for all of the coastal states...

This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data. This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data. In March 2012, WSI (Watershed Sciences, Inc.) was contracted by Woolpert, Inc. (Woolpert) to collect Light Detection and Ranging (LiDAR) data and digital imagery in the fall of 2012 for the Bridge Creek LiDAR site in Oregon. The LiDAR survey used a Leica ALS60 laser system, classified to ground and non-ground points, stored in LAS 1.2 format. WSI (Watershed Sciences, Inc.) was contracted by Woolpert, Inc. (Woolpert) to collect Light Detection and Ranging (LiDAR) data for the Bridge Creek LiDAR site in Oregon. The project area delivered is 9163 square acres. These files contain classified topographic lidar data as unclassified valid topographic data (1), and valid topographic data classified as ground (2). Classes 1 and 2 are defined in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards.

The aim of this wind profile study was to derive wind profiles and momentum fluxes from the National Oceanic and Atmospheric Administration (NOAA)/Wave Propagation Laboratory (WPL) Doppler LIDAR, and compare LIDAR and airborne measurements of mean wind, turbulent structure, momentum flux, and heat flux. Another objective was to compare profiles of mean wind and temperature obtained from aircraft, balloon sondes, and wind LIDAR. These data were collected at one location near the center of the FIFE study area but in the northwest quadrant. Data were acquired for a two week period during June and July 1987. Pulsed Doppler LIDAR measures the radial (along-beam) velocity as a function of range using light-scattering particles in the air as tracers. When the LIDAR beam is directed straight upward and the backscattered return as a function of height is recorded, vertical aerosol profiles may be determined. Various pointing and scanning schemes permit measurement of a variety of mean and turbulent quantities based on assumptions about the flow. The remote-sensing character of LIDAR offers the ability to measure flow parameters simultaneously at all the heights in a profile. The winds were obtained with the VAD (Velocity Azimuth Display) technique. The LIDAR only operates above 500 m, therefore the wind profile begins above the ground surface. Data in the planetary boundary layer are usually continuous, but gaps appear occasionally in profiles extending to several kilometers. Profiles were unsmoothed, and the LIDAR's short pulse made adjacent data points almost independent.

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 Ma...

Detailed elevation data were collected with airborne lidar technology for coastal Rhode Island areas impacted by the 2012 Superstorm Sandy; these data were collected between July 17, 2014 and August 9, 2014 over a total of 22 missions. Missions were a mixture of Low Water and High Water (everything outside of MLLW tidal requirements) missions. Rhode Island's data collection was part of a larger component collected by the NOAA National Geodetic Survey (NGS), Remote Sensing Division Coastal Mapping Program to enable accurate and consistent measurement of the national shoreline.

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 â Sentinel Sitesâ 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.

The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and anthropogenic features removed. It is derived from NIR LiDAR data using TIN processing of the ground point returns. Some elevation values have been interpolated across areas in the ground model where there is no elevation data (e.g. over water, under dense vegetation). Air Shark collected the NOAA Great Bay UAS LiDAR data, on behalf of Quantum Spatial, for the NOAA Office for Coastal Management between 05/01/2019 and 05/09/2019.

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. A link to the lidar point data metadata record is provided in the Related Items section of this metadata record.

This NOAA R/V Ron Brown Lidar dataset consists of two netCDF files which contain lidar data collected from the Research Vessel Ron Brown during the VOCALS 2008 project. The vocalsRhbLidarWP.nc file contains vertical profiles of horizontal wind and the vocalsRhbLidarVertStats.nc file has vertical profiles of vertical velocity turbulence (and higher statistical moments) and aerosol back scatter signal strength (snr). See the readme for more information on the file structure for each file.

OCM plans to collect lidar data to support coastal zone management activities. Projects could take place anywhere within US coastal zone.

The coastal lidar archive includes data from both topographic and bathymetric lidar surveys along U.S. coasts. Data in the archive span from the mid-1990s to the present and are collected using a variety of different lidar systems. The extent of individual lidar surveys varies, ranging from shoreline strips to full county coverage. Many different organizations have contributed to the lidar data collection, including federal, state and local partners. Data are available for all U.S. coastal states and include multiple U.S. territories such as Puerto Rico, U.S. Virgin Islands, Guam, and American Samoa. NCEI is the long-term archive for U.S. coastal lidar data distributed publicly through the NOAA Office for Coastal Management.

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ820G system. The data were acquired from 20140108 - 20140522 in four missions. The missions flown on 20140108 and 20140109 represent Low Water missions and the missions flown on 20140516 and 20140522 represent High Water (everything outside of MLLW tida...

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navi...

Data Details HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the NOAA Lake Level Viewer. It depicts potential lake level rise and fall and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at lake level change, coastal flooding impacts, and exposed lakeshore. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The NOAA Lake Level Viewer may be accessed at: https://coast.noaa.gov/llv. This metadata record describes the Lake Superior digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Lake Level Viewer described above. This DEM includes the best available lidar, US Army Corps of Engineer dredge surveys, and National Park Service multibeam data known to exist at the time of DEM creation that met project specifications. This DEM includes data for Alger, Baraga, Chippewa, Gogebic, Houghton, Keweenaw, Luce, Marquette, and Ontonagon counties in Michigan; Cook, Lake, and St. Louis counties in Minnesota; and Ashland, Bayfield, Douglas, and Iron counties in Wisconsin. The DEM was produced from the following lidar data sets: 1. 2007, USACE NCMP Topobathy Lidar: Lake Superior (Apostle Islands) and Lake Ontario (NY, WI) 2. 2008, USACE NCMP Topobathy Lidar: Lake Superior (Wisconsin and Michigan) 3. 2009, USACE NCMP Topobathy Lidar: Lake Superior (Duluth, MN) 4. 2009, USACE NCMP Topobathy Lidar: Isle Royale (MI) 5. 2009, USACE NCMP Topobathy Lidar: Apostle Islands, Wisconsin 6. 2009, USACE Lidar: Duluth, MN and Superior, WI (Including shoreline in Douglas, Bayfield, Ashland, and Iron Counties) 7. 2010, EPA Great Lakes Restoration Initiative (GLRI) Bathymetric Lidar: Lake Superior (MI, MN, WI) 8. 2011, USACE NCMP Topobathy Lidar: MI/NY Great Lakes 9. 2011, Northeast Minnesota / Arrowhead Lidar 10. 2013, USACE NCMP Topobathy Lidar: Stamp Sands, Lake Superior (MI) 11. 2013, USACE NCMP Topobathy Lidar: St. Marys River (MI) 12. 2013, USACE NCMP Topobathy Lidar: Lake Superior (MI) 13. 2015, FEMA Ashland County 14. 2016, USACE NCMP Topobathy Lidar: Stamp Sands (MI) The DEM was produced from the following sonar data sets: 15. USACE Harbor Dredge Surveys (9 surveys) 16. 2013, National Park Service, Pictured Rocks National Lakeshore Multibeam Sonar 17. 2014, National Park Service, Pictured Rocks National Lakeshore Multibeam Sonar The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

NOAA Finger Lakes Topobathymetric lidar project data were collected by National Oceanic and Atmospheric Administration (NOAA) using a Riegl VQ-880-G sensor system. The NOAA Finger Lakes Topobathymetric project lidar acquisition was flown between 20190913 and 20191109 in 23 missions. The NOAA Finger Lakes topobathymetric lidar project dataset includes topobathymetric data in a LAS format 1.4, po...

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the Louisiana Central East digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Ascension, Assumption, Iberville, Lafourche, St. James, Terrebonne, and West Baton Rouge Parishes. The DEM was produced from the following lidar data sets: 1. 2017 Upper Delta Plain LA Lidar 2. 2015 South Terrebonne Lidar 3. 2012 - 2013 USGS Louisiana Lidar: Atchafalaya Basin 4. 2013 USGS Louisiana Barataria Lidar 5. 2006 LA Statewide Lidar The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88, Geoid12B) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Leica Chiroptera 4X system. The data were acquired from 20210327 - 20210913. The data includes topobathy data in an LAS 1.4 format file classified as unclassified (1), ground (2), noise (7), water surface (topographic sensor) (9), high noise (18), bathymetric point (40), water surface (41), synthetic water surface (42), submerged feature (43) in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards. This data set may also include lidar intensity values.