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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Tips to use the NOAA DAV

NOAA blog posts about the DAV

NOAA blog posts about LiDAR

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.

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...

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.

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

Breakline-enforced 0.5m Digital Elevation Models (DEM) derived from airborne lidar 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 GeoTIFF files hosted by USGS on Amazon Web Services.

Original Product: These are Digital Elevation Model (DEM) data as part of the required deliverables for the lidar project. Class 2 (Ground) lidar points in conjunction with the hydro breaklines were used to create a 1 ft hydro-flattened Raster DEM. Original Dataset Geographic Extent: Cook county, Illinois; Lake, LaPorte, and Porter counties, Indiana; and Berrien county, Michigan; covering approximately 120 square miles. Original Dataset Description: The lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification. The data was developed based on a horizontal projection/datum of NAD83(HARN), Indiana West Feet, and vertical datum of NAVD88 (GEOID18) Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 2139 individual 1250 ft x 1250 ft tiles clipped to the DPA, as tiled Intensity Images and tiled bare-earth DEMs; all tiled to the same 1250 ft x 1250 ft schema. Original Dataset Ground Conditions: Lidar was collected in April 2024, while no snow was on the ground and rivers were at or below normal levels. Sanborn Map Company, Inc. established a total of 25 accuracy check points, 20 in Bare Earth and Urban landcovers (20 NVA points), 5 in Tall Grass and Brushland/Low Trees categories (5 VVA points), that were used to assess the vertical accuracy of the data. This dataset was provided to the NOAA Office for Coastal Management (OCM) by the Indiana Dept. of Natural Resources to make the data available for bulk and custom downloads from the NOAA Digital Coast Data Access Viewer.

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...

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).

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).

Original Product: These lidar data are processed Classified LAS 1.4 files, formatted to 2139 individual 1250 ft x 1250 ft tiles clipped to the DPA; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Original Dataset Geographic Extent: Cook county, Illinois; Lake, LaPorte, and Porter counties, Indiana; and Berrien county, Michigan; covering approximately 120 square miles. Original Dataset Description: The lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification. The data was developed based on a horizontal projection/datum of NAD83(HARN), Indiana West Feet, and vertical datum of NAVD88 (GEOID18) Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 2139 individual 1250 ft x 1250 ft tiles clipped to the DPA, as tiled Intensity Images and tiled bare-earth DEMs; all tiled to the same 1250 ft x 1250 ft schema. Original Dataset Ground Conditions: Lidar was collected in April 2024, while no snow was on the ground and rivers were at or below normal levels. Sanborn Map Company, Inc. established a total of 25 accuracy check points, 20 in Bare Earth and Urban landcovers (20 NVA points), 5 in Tall Grass and Brushland/Low Trees categories (5 VVA points), that were used to assess the vertical accuracy of the data. This dataset was provided to the NOAA Office for Coastal Management (OCM) by the Indiana Dept. of Natural Resources to make the data available for bulk and custom downloads from the NOAA Digital Coast Data Access Viewer.

This task is for a high-resolution data set of lidar covering the entire Wood County area (+/- 621.4 sq. mi). The lidar was collected and processed to meet a maximum Nominal Post Spacing (NPS) of 0.25 meter (16ppsm). Lidar data is a remotely sensed high resolution elevation data collected by a Leica City Mapper digital sensor active scanning (lidar) sensor. Lidar was collected on March 21 2022, and March 22, 2022 while no snow was on the ground, leaf-off and rivers were at or below normal levels. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The data was developed based on a horizontal datum/projection of NAD 83(HARN) State Plane Ohio North FIPS 3401 and a vertical datum of NAVD88 in units of US Survey Feet. Lidar data was delivered as processed LAS version 1.4 files formatted to 11,524 individual 1,250' x 1,250' tiles. This dataset was downloaded by the NOAA Office for Coastal Management (OCM) from the Ohio Geographically Referenced Information Program (OGRIP) to make the data available for bulk and custom downloads from the NOAA Digital Coast Data Access Viewer.

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/

The State of Michigan (DTMB) contracted with Sanborn to provide LiDAR mapping services for 6 counties in the State of Michigan. These counties include Cass, Genesee, Kalamazoo, Lapeer, Shiawassee, and St, Joseph. This metadata record describes the three counties of Cass, Kalamazoo, and St. Joseph and the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV i...

BERKELEY, CHARLESTON, ORANGEBURG LIDAR DATA COLLECTION Lidar Data Acquisition and Processing Production Task Charleston County Contract Number: 6004 RFQ Number: 6004-25C Woolpert Order No: 10020258 CONTRACTOR: Woolpert Lidar data is a remotely sensed high-resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. This task order requires lidar data to be acquired over Charleston County (+/- 1,197 square miles). This lidar data set is comprised of lidar point cloud data, raster DEMs, raster DSMs, raster intensity imagery, and GPS flight line trajectory data. The task required the lidar data to be collected at a nominal pulse spacing (NPS) of 1.15 feet. The lidar dataset was produced using a horizontal datum/projection of NAD83, State Plane South Carolina, International Feet and a vertical datum of NAVD88 (Geoid 18), International Feet. Tidal areas in Charleston's data acquisition were collected within +/- 2 hours of low tide. Additional deliverables include control data and tile index in Esri shapefile format, lidar processing and survey reports in PDF format, and project-level FGDC CSDGM metadata in XML format. This data was provided to the NOAA Office for Coastal Management (OCM) by the Charleston County Public Works Department, for the purpose of making the data publicly available for custom and bulk downloads from the NOAA Digital Coast Data Access Viewer.

This is an image service providing a shaded relief visualization of bathymetric/topographic digital elevation models stewarded at NOAA's National Centers for Environmental Information (NCEI). This service provides a color shaded relief visualization of the data; for elevation/depth values in meters, please see the related DEM Global Mosaic (Elevation Values) or DEM Mosaic (Individual DEMs) services.

The DEM Global Mosaic is an image service providing access to bathymetric/topographic digital elevation models stewarded at NOAA's National Centers for Environmental Information (NCEI), along with global and regional grids such as GEBCO_2019, IBCAO, IBCSO, and the Hawaiian Island Multibeam Synthesis (University of Hawaii). This service provides a color shaded relief visualization, for elevation/depth values in meters, please see the related DEM Global Mosaic (Elevation Values) service.

There are 5 related image services providing access to Digital Elevation Models:

• DEM Mosaic (Individual DEMs)
  
• DEM Global Mosaic (Elevation Values)
  
• DEM Global Mosaic (Color Shaded Relief)
  
• DEM Tiles Mosaic (Newer Tiled DEMs; Elevation Values)
  
• DEM Tiles Mosaic (Newer Tiled DEMs; Color Shaded Relief)
  

NCEI builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. For more information about coastal DEMs at NCEI, please see: http://ngdc.noaa.gov/mgg/coastal/coastal.html or learn more from our DEM Fact Sheet (1 MB PDF).

This service is a general-purpose global, seamless bathymetry/topography mosaic. It combines DEMs from a variety of near sea-level vertical datums, such as mean high water (MHW), mean sea level (MSL), and North American Vertical Datum of 1988 (NAVD88). No conversion/harmonization of vertical datums was performed. Because the mosaic contains "overviews" for performance, individual DEMs cannot be separated from the others. Individual DEMs, or smaller subsets, are available in the companion DEM Mosaic (Individual DEMs) image service.

By default, the DEMs are drawn in order of cell size, with higher-resolution grids displayed on top of lower-resolution grids. If overlapping DEMs have the same resolution, the newer one is shown.

The DEMs can be viewed in NCEI's Bathymetric Data Viewer along with other bathymetric datasets stewarded at NCEI.

Please see NCEI's corresponding DEM Footprints map service for polygon footprints and more information about the individual DEMs used to create this composite view. The newer 1/3 and 1/9 arcsecond "tiled" DEMs are hosted by NOAA's Office for Coastal Management; please see the Data Access Viewer for access to these data. View these services together in a single combined map.

In this visualization, the elevations/depths are displayed using this color ramp:


THREDDS catalog (for extracting/downloading DEMs)

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 classified LAS Data was created from the final controled swath data.

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

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 dataset contains digital surface models downloaded from NOAA's Data Access Viewer (https://coast.noaa.gov/dataviewer/#/) from 1998 to 2018 of the Dangermond Preserve Point Conception area. The purpose of these digital surface models was to retrieve elevation data to determine how the headland bypass dune system has changed over time. Metadata from the original source is also provided.

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