The NOAA Data Access Viewer (DAV) allows for the download of elevation data shared by the NC Emergency Management. Users can customize the free downloads according to needs - projection, datum, product output (raster, points, contours), format, etc.

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NOAA Data Access ViewerThe Data Access Viewer (DAV) allows a user to search for and download elevation (lidar), imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.

description: The NOAA Coastal Services Center manages and distributes lidar data for the coastal United States, including territorial possessions via the Digital Coast Data Access Viewer web-mapping application. The data span from the mid-1990's to the present and were collected using several different sensors. The collection includes data from topographic and bathymetric lidar sensors. Data are available for shoreline strips to full county coverage and larger. The products have been delivered to the CSC in various formats, projections, datums, and units. Once received, the data are reviewed, checked for errors, and standardized in a single format, projection, and datum. The NOAA National Geophysical Data Center serves as the long-term archive of these data.; abstract: The NOAA Coastal Services Center manages and distributes lidar data for the coastal United States, including territorial possessions via the Digital Coast Data Access Viewer web-mapping application. The data span from the mid-1990's to the present and were collected using several different sensors. The collection includes data from topographic and bathymetric lidar sensors. Data are available for shoreline strips to full county coverage and larger. The products have been delivered to the CSC in various formats, projections, datums, and units. Once received, the data are reviewed, checked for errors, and standardized in a single format, projection, and datum. The NOAA National Geophysical Data Center serves as the long-term archive of these data.

In this project, we use the Light Detection and Ranging (LiDAR) data to create the Digital Elevation Model (DEM). The LiDAR data can be downloaded through the Data Access Viewer of NOAA ( https://coast.noaa.gov/dataviewer/#/lidar/search/). For Maui, the majority of the DEM is created using the data of 2013 U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP) Topobathy LiDAR – Local Mean Sea Level (LMSL). For some areas not covered by this data set, we use the LiDAR data from 2006 FEMA LiDAR: Hawaiian Islands and 2007 JALBTCX Hawaii LiDAR: North Coasts of Hawaii (Big Island), Kauai, Maui, Molokai, Oahu, which are accessed in the Data Access Viewer of NOAA. Please read “Description of Digital Elevation Model (DEM) for Maui, Hawaii.docx” for detailed information.

This layer is a component of DAV3.

This map service presents spatial information about the Data Access Viewer (DAV) in the Web Mercator projection. The service was developed as part of National Oceanic and Atmospheric Administration (NOAA) Office For Coastal Management’s Digital Coast, but contains data and information from a variety of data sources, including non-NOAA data. NOAA provides the information “as-is” and shall incur no responsibility or liability as to the completeness or accuracy of this information. NOAA assumes no responsibility arising from the use of this information. The layers in this service are footprints organized by data type representing the boundaries for data provisioned by the DAV system. For additional information, please contact the NOAA Office For Coastal Management(http://coast.noaa.gov/contactform/).

© NOAA Office for Coastal Management

The NOAA Office for Coastal Management (OCM) downloaded this lidar data from the USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/AK_Fairbanks-NSBorough_2010/ and processed the data to be available on the Digital Coast Data Access Viewer (DAV). NOAA Office for Coastal Management processed all classifications of points to the Digital Coast Data Access Viewer...

Quantum Spatial (QSI) and PrecisionHawk (PH) collected lidar for test sites within the Grand Bay National Estuarine Research Reserve (NERR) using an unmanned aerial system (UAS). Four sites were flown, covering a total of 177 acres. A fixed-wing PH Lancaster (revision 5) platform was used, carrying a Velodyne Puck VLP-16 based lidar system. The system provides 2 returns (strongest and last) with a pulse rate of 300 kHz using a 903 nm wavelength laser. Flights were conducted from May 9-11, 2017 and were flown at 50 meters above ground level. Specifications for the collection included 30 pulses per square meter and 0.10 meter RMSE vertical accuracy in non-vegetated areas. The average first return density was over 105 points per square meter with an average ground classified density of over 3 points per square meter. Deliverables included a 1-meter resolution bare-earth DEM in UTM zone 16 NAD83(2011). These data were ingested into the Digital Coast Data Access Viewer for custom processing. Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov

This metadata supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services. The State of Michigan (DTMB) contracted with Sanborn to provide LiDAR mapping services for 10 counties in the State of Michigan. These counties include Clare, Lake, Mecosta, Missaukee, Montcalm, M...

In this project, we use the Light Detection and Ranging (LiDAR) data to create the Digital Elevation Model (DEM). The LiDAR data can be downloaded through the Data Access Viewer of NOAA ( https://coast.noaa.gov/dataviewer/#/lidar/search/). For Oahu, the majority of the DEM is created using the data of 2013 U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP) Topobathy LiDAR – Local Mean Sea Level (LMSL). For some areas not covered by this data set, we use the LiDAR data from 2006 FEMA LiDAR: Hawaiian Islands and 2007 JALBTCX Hawaii LiDAR: North Coasts of Hawaii (Big Island), Kauai, Maui, Molokai, Oahu, which are accessed in the Data Access Viewer of NOAA. Please read “Description of Digital Elevation Model (DEM) for Oahu, Hawaii.docx” for detailed information.

This map service presents spatial information about Elevation Data Access Viewer services across the United States and Territories in the Web Mercator projection. The service was developed by the National Oceanic and Atmospheric Administration (NOAA), but may contain data and information from a variety of data sources, including non-NOAA data. NOAA provides the information “as-is” and shall incur no responsibility or liability as to the completeness or accuracy of this information. NOAA assumes no responsibility arising from the use of this information. The NOAA Office for Coastal Management will make every effort to provide continual access to this service but it may need to be taken down during routine IT maintenance or in case of an emergency. If you plan to ingest this service into your own application and would like to be informed about planned and unplanned service outages or changes to existing services, please register for our Data Services Newsletter (http://coast.noaa.gov/digitalcoast/publications/subscribe). For additional information, please contact the NOAA Office for Coastal Management (coastal.info@noaa.gov).

NOAA CoastWatch produces near real-time ocean color products, e.g., chlorophyll-a concentration and turbidity (reflectance), with data from NASA's GeoEye's Orbview-2 satellite (via contractual purchase). The data is collected by selected HRPT ground stations. The level 1A data consists of raw radiance counts from eight bands (six in visible and two in near infrared spectrum), calibration data, navigation data, instrument telemetry and selected spacecraft telemetry. Each level 2 satellite specific product has unique characteristics dependent on the sensor and the algorithm applied. While level 2 historic data is open to the public, level 1 data is restricted to users covered by SeaWiFS CoastWatch contract due to limitations associated with commercial data. The OrbView-2 spacecraft, which carried the SeaWiFS instrument, stopped communicating with Earth-based data stations in December 2010. After several months of attempts to revive the link, GeoEye, the company that operated the spacecraft, officially ended any further attempts at recovery.

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 depicting potential water level increase and decrease in the coastal areas of the Great Lakes. The lakes included are: Erie, Huron, Michigan, Ontario, St. Clair, and Superior. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at lake level change and potential coastal impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses to help users examine multiple scenarios and prioritize actions. The Lake Level Viewer may be accessed at: https://coast.noaa.gov/llv These data depict the mapping confidence of the associated lake water level data for the water level amounts of -6 feet through +6 feet. The mapping process is designed to give the most accurate picture of water extent possible, but inherent data errors introduce some uncertainty in the exact water extents. The presentation of data confidence only represents the known error in the elevation data and not uncertainty associated with the natural evolution of the coastal landforms (e.g., erosion or bluff failure) or future climate change impacts on lake levels. To access the associated data to be used with this data: NOAA Office for Coastal Management Lake Level Data: -6 Feet to +6 Feet Water Level Change data may be downloaded at: https://coast.noaa.gov/llv The NOAA Office for Coastal Management has tentatively adopted an 80 percent rank (as either inundated or not inundated) as the zone of relative confidence. The use of 80 percent has no special significance but is a commonly used rule of thumb measure to describe economic systems (Epstein and Axtell, 1996). The method used to determine the confidence data only includes the uncertainty in the lidar derived elevation data (root mean square error, or RMSE). This confidence data shows that the water level depicted in the -6 feet to +6 feet water level change data is not really a hard line, but rather a zone with greater and lesser chances of being wet or dry. Areas that have a high level of confidence that they will be wet, means that there is an 80 percent or greater likelihood that these areas will be covered with water. Conversely, there is a 20 percent or less likelihood that the area will be dry. Areas mapped as wet (inundation) with a high confidence (or low uncertainty) are coded as 2. Areas that have a high level of confidence that they will be dry, means that there is an 80 percent or greater likelihood that these areas will be dry. Conversely, there is a 20 percent or less likelihood that the area will be wet. Areas mapped as dry (no inundation) with a high confidence (or low uncertainty) are coded as 0. Areas that have a low level of confidence, means that there is a 21 - 79 percent likelihood of wet or dry conditions. Note that 60 percent of the time, the land-water interface will be within this zone. Areas mapped as dry or wet with a low confidence (or high uncertainty) are coded as 1. As with all remotely sensed data, all features should be verified with a site visit. The data are provided as is, without warranty to their performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of these data is assumed by the user. This data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes. For a detailed description of the confidence level and its computation, please see the Mapping Inundation Uncertainty document available at: http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-13-00118.1

Original Dataset Description: This project involved fixed wing aerial LIDAR data collected at a contracted point spacing of 0.70 meters for the Illinois Counties of Ford, Iroquois and Livingston totaling approximately 2,740 square miles.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the GeoTIFF files...

The Maine Geological Survey Lidar application shows the extent of lidar in Maine with towns, parcels, and USGS 1:24,000 scale quadrangles also provided. Users looking for lidar data and/or data derivatives should contact:1) United States Interagency Elevation Inventory (USIEI): https://coast.noaa.gov/inventory/2) NOAA: Data Access Viewer - NOAA Office for Coastal Management: https://coast.noaa.gov/dataviewer/3) Maine GeoLibrary Elevation Discovery and Download: https://www1.maine.gov/geolib/ediscovery/site/landing.html4) National Map (USGS) ftp: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/

This project involved fixed wing aerial LIDAR data collected at a contracted point spacing of 0.70 meters for the Illinois County of Bureau totaling approximately 875 square miles. This classified LAS Data was created from the final controlled swath data.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging...

The NOAA Office for Coastal Management (OCM) downloaded this lidar data from the USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/NED/LPC/Projects/AK_NomeCreek_2010/ and processed the data to be available on the Digital Coast Data Access Viewer (DAV). NOAA Office for Coastal Management processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes...

THIS MAP IS NOT AUTHORITATIVE. SEE TERMS OF USE BELOW.This web map was developed by the National Oceanic and Atmospheric Administration’s (NOAA) Office for Coastal Management and is featured in the U.S. Great Lakes Collaborative Benthic Habitat Mapping Common Operating Dashboard in support of the Collaborative Benthic Habitat Mapping in the Nearshore Waters of the Great Lakes Basin Project. This multi-year, multi-agency project is funded through the Great Lakes Restoration Initiative (GLRI) and focuses on new bathymetric data (airborne lidar and vessel based sonar) acquisition, validation, and benthic habitat characterization mapping of the nearshore waters (0-80 meters) in the U.S. Great Lakes. This project also contributes to the regional Lakebed 2030 campaign, which aims to have high-density bathymetric data available for the entirety of the Great Lakes by 2030. This web map contains data layers reflecting the current status of bathy data coverage in the nearshore (0-80 meters) of the U.S. Great Lakes, including acquisition (lidar and multibeam sonar), ground-truthing/validation, and benthic habitat mapping and characterization. Acquisition layers include coverage areas that have been acquired and are available for public use (green) as well as those that have been acquired, but are not yet available or are still in progress (orange). The nearshore water depth layers (0-25 and 25-80 meters) were created using the National Centers for Environmental Information (NCEI) Great Lakes Bathymetry (3-second resolution) grid extracts. The 0 to 25 meter nearshore water depth layer represents areas where bathymetric lidar data acquisition could ideally be conducted, depending on water condition and turbidity. The 25 to 80 meter layer shows locations where acoustic data acquisition can occur. The acquired data values are all in sq. km and were created by merging and dissolving all publicly available bathy lidar and multibeam sonar coverage polygons into single layer and erasing from the nearshore water depth layers (0-25, 25-80, and 0-80 meters). All polygon layers were clipped using the USGS Great Lakes subbasin polygon shapefile and the U.S./Canada boundary from the International Boundary Commission (version 1.3 from 2018). All data originally projected in the following coordinate system: EPSG:3175, NAD 1983 Great Lakes and St Lawrence Albers.This map will continue to be updated as new information is made available.See below for information on additional data layers. Source Data for Bathy Coverage Layers - Acquired/Available:Topobathy and Bathy Lidar (NOAA's Data Access Viewer: https://coast.noaa.gov/dataviewer/#/; U.S. Interagency Elevation Inventory (USIEI): https://coast.noaa.gov/inventory/). Multibeam Sonar (National Centers for Environmental Information (NCEI) Bathymetric Data Viewer: https://www.ncei.noaa.gov/maps/bathymetry/; NOAA's Data Access Viewer: https://coast.noaa.gov/dataviewer/#/; U.S. Interagency Elevation Inventory (USIEI): https://coast.noaa.gov/inventory/; USGS ScienceBaseCatalog: https://www.sciencebase.gov/catalog/item/656e229bd34e7ca10833f950)Source Data for Bathy Coverage Layers - GLRI AOIs (2020-2024):Acquisition: NOAA Office for Coastal ManagementValidation/CMECS Characterizations: NOAA National Centers for Coastal Ocean Science (NCCOS)Source Data for Bathy Coverage Layers - In Progress and Planned:NOAA Office of Coast Survey Plans: https://gis.charttools.noaa.gov/arcgis/rest/services/Hydrographic_Services/Planned_Survey_Areas/MapServer/0NOAA Office for Coastal ManagementSource Data for Nearshore Water Depths:NOAA's National Centers for Environmental Information (NCEI) Great Lakes Bathymetry (3-second resolution) grid extracts: https://www.ncei.noaa.gov/maps/grid-extract/Source Data for Spatial Prioritization Layers:Great Lakes Spatial Priorities Study Results Jun 2021. https://gis.charttools.noaa.gov/arcgis/rest/services/IOCM/GreatLakes_SPS_Results_Jun_2021/MapServerMapping priorities within the proposed Wisconsin Lake Michigan National Marine Sanctuary (2018). https://gis.ngdc.noaa.gov/arcgis/rest/services/nccos/BiogeographicAssessments_WILMPrioritizationResults/MapServerThunder Bay National Marine Sanctuary Spatial Prioritization Results (2020). https://gis.ngdc.noaa.gov/arcgis/rest/services/nccos/BiogeographicAssessments_TBNMSPrioritizationResults/MapServerSource Data for Supplemental Data Layers:International Boundary Commission U.S./Canada Boundary (version 1.3 from 2018): https://www.internationalboundarycommission.org/en/maps-coordinates/coordinates.phpNational Oceanic and Atmospheric Administration (NOAA) HydroHealth 2018 Survey: https://wrecks.nauticalcharts.noaa.gov/arcgis/rest/services/Hydrographic_Services/HydroHealth_2018/ImageServerNational Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas (MPA) Inventory 2023-2024: https://www.fisheries.noaa.gov/inport/item/69506National Oceanic and Atmospheric Administration (NOAA) National Marine Sanctuary Program Boundaries (2021): https://services2.arcgis.com/C8EMgrsFcRFL6LrL/arcgis/rest/services/ONMS_2021_Boundaries/FeatureServerNational Oceanic and Atmospheric Administration (NOAA) U.S. Bathymetry Gap Analysis: https://noaa.maps.arcgis.com/home/item.html?id=4d7d925fc96d47d9ace970dd5040df0aU.S. Environment Protection Agency (EPA) Areas of Concern: https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/epa_areas_of_concern_glahf_viewlayer/FeatureServerU.S. Geological Survey (USGS) Great Lakes Subbasins: https://www.sciencebase.gov/catalog/item/530f8a0ee4b0e7e46bd300dd Latest update: February 20, 2025

Quantum Spatial (QSI) and PrecisionHawk (PH) collected lidar for a test site within the San Francisco Bay National Estuarine Research Reserve (SFBNERR) Rush Ranch location using an unmanned aerial system (UAS). The target area covered approximately two square miles, although approximately three square miles of data were collected. A DJI Matrice 600 hexacopter platform was used, carrying a YellowScan lidar system. The system provides 2 returns (strongest and last) with a pulse rate of 300 kHz using a 903 nm wavelength laser. Flights were conducted from September 5-7, 2017 and were flown at 50 meters above ground level. Specifications for the collection included 30 pulses per square meter and 0.10 meter RMSE vertical accuracy in non-vegetated areas. The average first return density was over 400 points per square meter. Classified ground point density varied spatially depending on vegetation with areas of no penetration and areas with over 60 ground points per square meter. Deliverables included the lidar point cloud in LAS/LAZ format. Data were delivered in UTM zone 10 NAD83(2011) horizontally and NAVD88 (Geoid12b) meters vertically. Lidar point clouds were projected back to geographic coordinates for storage in the Digital Coast Data Access Viewer and the vertical datum was converted to the ellipsoid.

WSI, a Quantum Spatial company, has collected Light Detection and Ranging (LiDAR) data for the Oregon LiDAR Consortium (OLC) Colville study area. This study area is located in northeastern Washington, abutting Canada. The collection of high resolution geographic data is part of an ongoing pursuit to amass a library of information accessible to government agencies as well as the general public. In August 2014 WSI employed remotesensing lasers in order to obtain a total area flown of 171,091 acres. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter. Final products created include LiDAR point cloud data, one meter digital elevation models of bare earth ground models, ground density rasters, and highest-hit returns, one-half meter intensity rasters, study area vector shapes, and corresponding statistical data. Final deliverables are projected in United States Forest Service (USFS) Region 6 Albers. NOAA Office for Coastal Management has reprojected the point cloud data to geographic coordinates and ellipsoid heights for storage in the Digital Coast Data Access Viewer. Custom processing may have further changed the projection and datums. See the spatial reference information and processing steps for details.

Geographic Extent: North Carolina Area of Interest, covering approximately 7,197 square miles. Dataset Description: The North Carolina LiDAR project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1. The data was developed based on a horizontal projection/datum of North Carolina State Plane Coordinate System, NAD83, survey feet and vertical datum of NAVD1988 (GEOID12A), survey feet. Lidar data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 8026 individual 5000ft x 5000ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 5000ft x 5000ft schema, and Breaklines in ESRI File-Geodatabase format. Data in 10591 tiles were received by NOAA in LAS 1.3 format and were transformed to ellipsoid heights and geographic coordinates for the Digital Coast Data Access Viewer. Ground Conditions: LiDAR was collected in Spring 2015, 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, Quantum Spatial established a total of 71 control points that were used to calibrate the lidar to known ground locations established throughout the North Carolina project area.