Lidar (light detection and ranging) is a technology that can measure the 3-dimentional location of objects, including the solid earth surface. The data consists of a point cloud of the positions of solid objects that reflected a laser pulse, typically from an airborne platform. In addition to the position, each point may also be attributed by the type of object it reflected from, the intensity of the reflection, and other system dependent metadata. The NOAA Coastal Lidar Data is a collection of lidar projects from many different sources and agencies, geographically focused on the coastal areas of the United States of America. The data is provided in Entwine Point Tiles (https://entwine.io) format, which is a lossless streamable octree of the point cloud. Datasets are maintained in their original projects and care should be taken when merging projects. The coordinate reference system for the data is The NAD83(2011) UTM zone appropriate for the center of each data set and the orthometric datum appropriate for that area (for example, NAVD88 in the mainland United States, PRVD02 in Puerto Rico, or GUVD03 in Guam). The geoid model used is reflected in the data set resource name.

Documentation

https://coast.noaa.gov/digitalcoast/data/coastallidar.html and https://coast.noaa.gov/digitalcoast/data/jalbtcx.html

Update Frequency

Periodically, as new data becomes available

License

Open Data. There are no restrictions on the use of this data.

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.

NOAA Long Island Sound Topobathymetric Lidar data were collected by NV5 using Leica Chiroptera/Hawkeye 4X and Chiroptera/Hawkeye 5 systems in four blocks. Block01 was flown between 20230305 and 20230411 in 14 missions, block02 was flown between 20230305 and 20230722 in 23 missions, block03 was flown between 20230316 and 20231028 in 13 missions and block04 was flown between 20230410 and 2023053...

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 Erie 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 and US Army Corps of Engineer dredge survey data known to exist at the time of DEM creation that met project specifications. This DEM includes data for Monroe and Wayne Counties in Michigan; Chautauqua and Erie Counties in New York; Ashtabula, Cuyahoga, Erie, Lake, Lorain, Lucas, Ottawa, Sandusky, and Wood Counties in Ohio; and Erie County in Pennsylvania. The DEM was produced from the following lidar data sets: 1. 2011 - 2012 USACE NCMP Topobathy Lidar: Lake Erie (MI, NY, OH, PA) 2. 2011 USACE NCMP Topobathy Lidar: MI/NY Great Lakes 3. 2008 FEMA Lidar: Erie County, NY 4. 2007 USACE NCMP Topobathy Lidar: Lake Erie (Erie County, PA) and Lake Michigan (Manitou Islands) (MI, PA) 5. 2007 USACE NCMP Topobathy Lidar: Lake Erie (NY Shoreline) 6. 2006 USACE NCMP Topobathy Lidar: Lake Erie (OH, PA), Lake Huron (MI) and Lake Michigan (Porter County, IN) 7. 2007 Pennsylvania Department of Conservation and Natural Resources (PA DCNR) Statewide Lidar 8. 2006 Ohio Statewide Imagery Program (OSIP) Lidar: North The DEM was produced from the following sonar data sets: 9. 2015 USACE Detroit District; Detroit River, MI; Livingstone Channel Reach 10. 2015 USACE Buffalo District, Ashtabula Harbor, OH 11. 2015 USACE Buffalo District, Erie Harbor, PA 12. 2015 USACE Buffalo District, Fairport Harbor, OH 13. 2015 USACE Buffalo District, Rocky River, OH 14. 2013 USACE Buffalo District; Buffalo Harbor, NY; Buffalo River and Ship Canal 15. 2014 USACE Detroit District, Point Mouillee, MI 16. 2014 USACE Buffalo District, Conneaut Harbor, OH 17. 2014 USACE Buffalo District, Dunkirk Harbor, NY 18. 2014 USACE Buffalo District, Niagara River, NY 19. 2014 USACE Buffalo District, Sandusky Harbor, OH 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.

The storm-induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards (NACCH) project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches.Light detection and ranging (lidar)-derived beach morphologic features such as dune crest, toe, and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high-water shoreline derived from the 2017 National Oceanic and Atmospheric Administration (NOAA) National Geodetic Survey (NGS) Florida west coast lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.

Data Details

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

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.

These data were collected by Leading Edge Geomatics using a Riegl VQ-880-G II sensor. The data acqusition began January 20, 2019 through June 2, 2019. The data includes topobathy data in LAS 1.4 format classified as created, never classified (0); unclassified (1); ground (2); noise (7); bathymetric bottom (40); water surface (41); derived water surface (42); submerged object, not otherwise specified (e.g., wreck, rock, submerged piling) (43); International Hydrographic Organization S-57 object, not otherwise specified (44); no bottom found (bathymetric lidar point for which no detectable bottom return was received) (45); bathymetic bottom temporal changes (46) in accordance with project specifications.

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such as dune crest, toe and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high water shoreline derived from the 2003 NOAA Oahu lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.

Product: This topobathy lidar dataset consists of processed classified LAS 1.4 files used to create intensity images and topobathymetric DEMs as necessary. Three project areas for this dataset are: 1. Lansing Shoals - 4273 individual 500 m x 500 m tiles 2. Green Bay - 1837 individual 500 m x 500 m tiles 3. Lake Huron - 2871 individual 500 m x 500 m tiles Geographic Extent: The Michigan coastline along parts of northern Lake Michigan and northern Lake Huron, covering approximately 627 square miles. 1. Lansing Shoals portion (Lake Michigan) of the AOI covers approximately 311 square miles 2. Green Bay portion (Lake Michigan) of the AOI covers approximately 116 square miles 3, Lake Huron portion of the AOI covers approximately 200 square miles Dataset Description: The Great Lakes Topobathymetric Lidar project called for the planning, acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 1 meter for bathymetric areas. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal projection/datum of NAD83 (2011), UTM zones 16N and 17N, meters and vertical datum of NAVD88 (Geoid 18), meters. Ground Conditions: 1. Lansing Shoals - Lidar was collected for the Lansing Shoals region from September 14, 2023 to September 25, 2023, while no snow was on the ground and rivers were at or below normal levels Green Bay - Lidar was collected for the Green Bay region from September 28, 2023 to October 5, 2023, while no snow was on the ground and rivers were at or below normal levels. 3, Lake Huron - Lidar was collected for the Northern Lake Huron region from September 16, 2023 to October 4, 2023, while no snow was on the ground and rivers were at or below normal levels.

These data represent integrated lidar and sonar gridded surface data. Quantum Spatial, Inc. (QSI) collected the topobathymetric lidar using a Riegl VQ880GII system on May 22, 2019. Merkel and Associates collected sonar data to provide bathymetric surface modeling in areas lacking lidar coverage. The sonar was collected between June 17th-19th, 2019 using a SEA SWATHplus-H sonar system. QSI per...

NOAA Chesapeake Bay MD1902 and MD1903 Topobathymetric lidar data were collected by NV5 Geospatial (NV5) using a Leica Chiroptera 4x system. The MD1903 acquisition spanned from 20191109-20191115 in 5 missions. The MD1902 acquisition spanned from 20191109-20191116 in 6 missions. The datasets include topobathymetric data in LAS format 1.4, point data record format 6, with the following classific...

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 tidal requirements) missions. The data includes topobathy data in an LAS 1.2 format file classified as unclassified (1), ground (2), topo noise (7), refracted High Water data landward of the MLLW land/water interface (18), bathy noise (22), noise as defined by the sensor (23), refracted sensor noise (24), water column (25), bathymetric bottom or submerged topography (26), water surface (27), International Hydrographic Organization (IHO) S-57 objects (30), and temporal bathy bottom (31) in accordance with project specifications. Several of the noise classes were filtered out prior to distribution on the Digital Coast. The full project consists of 2,775 square miles along the Atlantic Coast from New York to South Carolina. This dataset represents a contiguous area covering a portion of acquisition block 1 to 140 with 500 m x 500 m lidar tiles. Original contact information: Contact Org: National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division Title: Chief, Remote Sensing Division Phone: 301-713-2663

Woolpert, Inc. was contracted to acquire and process topographic-bathymetric lidar for the islands of Anatahan, Alamagan, Guguan, and Sarigan in response to Hurricane Yutu for Quantum Spatial, Inc. (QSI). Woolpert collected lidar using their Leica HawkEye 4X (HE4X) topo-bathy lidar sensor that consists of a Chiroptera 4X (CH4X) sensor, with an additional Leica 40kHz deep bathymetric channel to provide high density topo lidar. The HE4X is a latest generation topographic and bathymetric lidar sensor. The system provides denser data than previous traditional bathymetric lidar systems. It is unique in its ability to acquire bathymetric lidar, topographic lidar and 4-band digital camera imagery simultaneously. The HE4X provided 300 kHz topographic data, an effective 140 kHz shallow bathymetric data and 40 kHz deep bathymetric data. 4-band 80 MP digital camera imagery was also collected simultaneously with the sensor’s RCD-30 camera. The bathymetric and topographic lasers are independent and do not share an optical chain or receivers, so they are optimized for their specific function. As with any bathymetric lidar, maximum depth penetration is a function of water clarity and seabed reflectivity. The HE4X is designed to penetrate to 3 times the secchi depth. This is also represented as Dmax = 4/K, where K is the diffuse attenuation coefficient, and assuming K is between 0.1 and 0.3, a normal sea state and 15% seabed reflectance. Both the topographic and bathymetric sub-systems use a palmer scanner to produce an elliptical scan pattern of laser points with a degree of incidence ranging from +/-14 degrees (front and back) to +/-20 degrees (sides), providing a 40 degrees field of view. This has the benefit of providing multiple look angles on a single pass and helps to eliminate shadowing effects. This can be of particular use in urban areas, where all sides of a building are illuminated, or for bathymetric features such as the sides of narrow water channels or features on the seafloor such as smaller objects and wrecks. It also assists with penetration in the surf zone where the back scan passes the same ground location a couple of seconds after the front scan, allowing the areas of whitewater to shift. All topo lidar data for this project were collected simultaneous to meet United States Geological Survey, Quality Level 1 (USGS QL1) with a minimum of 8 pts per square meter at an accuracy of 10cm RMSEz. A minimum of 2 points per square meter were acquired for bathymetric lidar data. For practical purposes the survey area was divided into survey blocks in each island, allowing acquisition to be conducted in the most efficient and consistent manner possible. The data includes topobathy data in an LAS 1.4 format file along with associated bare earth digital elevation models (DEM). This file is the project specified 1 meter bare earth DEM dataset. The dataset was derived from 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 - noise 40 - bathymetric bottom or submerged topography 41 - water surface 42 - derived water surface 43 - manmade submerged feature 45 - water column 1 Overlap - edge clip 1 Withheld - bathy land User data values differentiates between NIR and green lasers. A value of of 1 indicates the point is from the NIR laser, and a values of 2-5 indicate the green laser. This dataset is the 1m orthometric NAVD88 (using Geoid12b) DEM.

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 North Carolina, Northern 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 Camden, Chowan, Currituck, Gates, Pasquotank, and Perquimans Counties. The DEM was produced from the following lidar data sets: 1. 2014 NGS Coastal Mapping Program Topobathy Lidar: Post-Sandy Atlantic Seaboard 2. 2014 NC Statewide Lidar - Phase 1 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.

This data was collected by Woolpert using a Leica Chiroptera 4X sensor. The data was acquired between 20221004 to 20221021. The data includes topobathy data in an LAS 1.4 format file classified as unclassified (1), ground (2), low noise (7), topo water surface (9), high noise (18), bathymetric point (40), bathymetric water surface (41), synthetic derived water surface (42), submerged object (43), International Hydrographic Organization (IHO) S-57 object (44), submerged aquatic vegetation (64), and bathymetric bottom temporal changes (65) in accordance with Project specifications. This data set also includes lidar intensity values.

These data were collected by Leading Edge Geomatics using a RIEGL VQ880-G / RIEGL VQ880-GII topobathymertic lidar system. The data were acquired from November 22, 2019 to December 20, 2019. The data include topobathy data in LAS 1.4 format classified as created, unclassified (1); ground (2); noise (low or high) (7); bathymetric bottom (40); water surface (41); derived water surface (42); submerged object (43); no bathymetric bottom found (45); and temporal (46) in accordance with project specifications. The project was delivered in two blocks: Block 1: The project consists of approximately 311 square miles of data within the Tampa Bay inlet, to include Old Tampa Bay, Hillsborough Bay and the Interbay Peninsula. This dataset contains 883 1000 m x 10000 m lidar tiles. The Block 1 delivery consists of 419 tiles for the eastern half of the AOI. Block 2: The project consists of approximately 311 square miles of data within the Tampa Bay inlet, to include Old Tampa Bay, Hillsborough Bay, and the Interbay Peninsula. This dataset contains 905 1000 m x 1000 m lidar tiles. The Block 2 delivery consists of 486 tiles for the western half of the AOI.

The 2019 - 2020 NOAA NGS Topobathy Lidar: Hurricane Michael data were collected by multiple contractors including NV5 and Dewberry. The 100 meter buffered project area consists of approximately 2,120,060 acres encompassing the Florida Panhandle and extending south to New Port Richey, Florida, and was collected between November 2019 - July 2020 using a Leica Chiroptera 4X system. The dataset includes topobathymetric data in a LAS format 1.4, point data record format 6. This data set also includes Lidar intensity values, number of returns, return number, time, and scan angle. LAS files were compiled into a total of 44,926 500 m x 500 m tiles.

These data were collected by Dewberry using a CZMIL Super Nova system. The data were acquired from 20221018 through 20221203. 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); and derived water surface (42) in accordance with project specifications. The project consists of approximately 1,373 square miles of data along the shores of Big Bend and contains 17,639 500 m x 500 m lidar tiles. This South Block dataset contains 9,585 500 m x 500 m tiles.

These lidar data were collected on September 27, 2005, for the NOAA Fisheries Service - Northwest Fisheries Science Center as part of the ISEMP (Integrated Status and Effectives Monitoring Program) for the Columbia Basin. Data collection and processing were performed by Watershed Sciences. The flight covered 122 km² and 26 river kilometers of Bridge Creek, a tributary to the John Day River in central Oregon. The flight was used as a baseline survey for the Bridge Creek Intensively Monitored Watershed, which is nested in the broader Status and Trend Monitoring in the John Day Pilot Basin.

Channel incision within Bridge Creek IMW, OR, has degraded instream and floodplain habitat leading to a loss of spawning and rearing habitat, increased summer stream temperatures and reduced base flows impacting steelhead using this system. ISEMP is collaborating with the National Park Service, NOAA-Fisheries, and the Bureau of Land Management on a restoration project that will accelerate natural recovery rates of the processes that create and maintain steelhead habitat to substantially increase steelhead productivity within the drainage.