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.
https://coast.noaa.gov/digitalcoast/data/coastallidar.html and https://coast.noaa.gov/digitalcoast/data/jalbtcx.html
Periodically, as new data becomes available
Open Data. There are no restrictions on the use of this data.
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.
Light Detection and Ranging (LiDAR) data is remotely sensed high-resolution elevation data collected by an airborne collection platform. This LiDAR dataset is a survey of Coastal California. The project area consists of approximately 2616 square miles. The project design of the LiDAR data acquisition was developed to support a nominal post spacing of 1 meter. Fugro EarthData, Inc. acquired 1546 flight lines in 108 lifts between October 2009 and August 2011. LiDAR data collection was performed with two Piper Navajo twin engine aircrafts, utilizing a Leica ALS60 MPiA sensor; collecting multiple return x, y, and z as well as intensity data. The bare-earth lidar data was used to create hydro-flattened DEMs (Digital Elevation Models) available for download from the NOAA OCM Digital Coast.
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.
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 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 Acadia, Iberia, Lafayette, St. Martin, St. Mary, and Vermilion Parishes. The DEM was produced from the following lidar data sets: 1. 2017 Upper Delta Plain LA Lidar 2. 2017 Chenier Plain LA Lidar 3. 2015 South Terrebonne Lidar 4. 2012 - 2013 USGS Louisiana Lidar: Atchafalaya Basin 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 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 Virginia, Eastern Shore 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 Accomack and Northampton Counties. The DEM was produced from the following lidar data sets: 1. 2015 Eastern Shore VA Lidar 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.
These bare earth Digital Elevation Model (DEM) files along the coasts of Alabama, Florida, Mississippi, and Texas, contain rasterized topobathy lidar elevations at a 1 meter grid size, generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. In Florida, the data were collected on behalf of the National Park Service. CZMIL integrates a lidar sensor with simulta...
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
These files contain rasterized topobathy lidar elevations collected after Hurricane Irma. In an effort to provide data as soon as possible, JALBTCX will be sending rolling deliveries of data to the NOAA Office for Coastal Management for the Digital Coast. The total collection area will include the east coast of Florida, the Florida Keys, and Collier County. The data were collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is not generally in a format accessible to most Geographic Information Systems (GIS). Specialized in-house and commercial software packages are used to process the native lidar data into 3-dimensional positions that can be imported into GIS software for visualization and further analysis. The 3-D position data are sub-divided into a series of LAS files, which are tiled into 1-km by 1-km boxes defined by the Military Grid Reference System. In addition to the these topobathy bare earth Digital Elevation Models (DEMs) at a 1 meter grid spacing, the lidar point data are also available. These data are available for custom download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6330 DEMs that were created from all classes of points (1, 2, 29) at a 1 meter grid size are available by request via email at: coastal.info@noaa.gov. These products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.
description: These data were collected by Leading Edge Geomatics using a Leica Chiroptera II Bathymetric & Topographic Sensor. The project consists of approximately 205 square miles of data along the shores of the Beaver Island Archipelago and South Manitou Islands in Upper Lake Michigan. The data were acquired between November 16, 2015 through December 5, 2015 for Beaver Island, North Fox Island, Gull Island, High Island, Garden Island, and Isle Aux Galets. The data for South Manitou Island, South Fox Island and several smaller islands that needed to be re-acquired on Beaver Island due to data gaps, were acquired on June 2, 2016 and June 3, 2016. The data includes topobathy data classified as: created, never classified (0), unclassified (1), ground (2), bathymetric bottom (40), water surface (41), derived water surface (42), no bottom found (45) in accordance with project specifications. This dataset contains 3,361 500 m x 500 m lidar tiles. In addition to the lidar point data, bare earth Digital Elevation Models (DEMs) at a 2 meter grid size are available. These data are available from the NOAA Digital Coast at: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6195; abstract: These data were collected by Leading Edge Geomatics using a Leica Chiroptera II Bathymetric & Topographic Sensor. The project consists of approximately 205 square miles of data along the shores of the Beaver Island Archipelago and South Manitou Islands in Upper Lake Michigan. The data were acquired between November 16, 2015 through December 5, 2015 for Beaver Island, North Fox Island, Gull Island, High Island, Garden Island, and Isle Aux Galets. The data for South Manitou Island, South Fox Island and several smaller islands that needed to be re-acquired on Beaver Island due to data gaps, were acquired on June 2, 2016 and June 3, 2016. The data includes topobathy data classified as: created, never classified (0), unclassified (1), ground (2), bathymetric bottom (40), water surface (41), derived water surface (42), no bottom found (45) in accordance with project specifications. This dataset contains 3,361 500 m x 500 m lidar tiles. In addition to the lidar point data, bare earth Digital Elevation Models (DEMs) at a 2 meter grid size are available. These data are available from the NOAA Digital Coast at: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6195
Light Detection and Ranging (LiDAR) data is remotely sensed high-resolution elevation data collected by an airborne collection platform. This LiDAR dataset is a survey of Coastal California. The project area consists of approximately 2616 square miles. The project design of the LiDAR data acquisition was developed to support a nominal post spacing of 1 meter. Fugro EarthData, Inc. acquired 1546 flight lines in 108 lifts between October 2009 and August 2011. This collection was a joint effort by the NOAA Office for Coastal Management (OCM); the California State Coastal Conservancy (SCC) Ocean Protection Council (OPC); Scripps Institution of Oceanography; and the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). The data coverage extends landward 500 m from the shoreline, along the entire California coastline. The data collection was performed with two Piper Navajo twin engine aircrafts, utilizing a Leica ALS60 MPiA sensor; collecting multiple return x, y, and z as well as intensity data. The data were classified as Unclassified (1), Ground (2), Low Point (Noise) (7), Water (9), Mudflats (10), and 12 (Overlap). Only the Unclassified (1), Ground (2), Water (9), and Overlap (12) points are available for download from the NOAA OCM Digital Coast. Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov
This project merged recently collected topographic, bathymetric, and acoustic elevation data along the entire California coastline from approximately the 10 meter elevation contour out to California's 3 mile state water's boundary. This metadata record describes the Digital Elevation Model (DEM) created from the lidar and multibeam data. The DEM has a 1m cell size. Topographic LiDAR:The topographic lidar data used in this merged project was the 2009-2011 CA Coastal Conservancy Lidar Project. The data were collected between October 2009 and August 2011. This collection was a joint effort by the NOAA Office for Coastal Management (OCM); the California State Coastal Conservancy (SCC) Ocean Protection Council (OPC); Scripps Institution of Oceanography; and the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). The data coverage extends landward 500 m from the shoreline, along the entire California coastline. The LAS classifications are as follows: 1-Unclassified, 2-Ground, 7-Noise, 9-Water, 10- Mudflats, 12-Overlap. The LAS points were manually re-classified from water and unclassified to ground in offshore areas where necessary. Bathymetric LiDAR: The bathymetric lidar data used in this merged project was 2009-2010 U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Center of Expertise (JALBTCX) lidar, provided by JALBTCX. The data were collected for the California Coastal Mapping Project (CCMP). The original data were in ASCII format and were converted to LAS v1.2. The LAS data were classified as follows: 21-Non-submerged Bathymetry, 22-Bathymetry, 23-Ignored Submerged Bathymetry/Overlap. Multibeam Acoustic Data: The acoustic data data used in this merged project were provided by the California Seafloor Mapping Program (CSMP) Ocean Protection Council and NOAA's National Geophysical Data Center (NGDC). The original data were in ASCII format and were converted to LAS v1.2. NOAA's VDatum software was used to vertically transform soundings from mean lower low water (MLLW) tidal datum to NAVD88 orthometric datum where necessary. The LAS data were classified as follows: 25-Submerged Acoustic, 26-Ignored Submerged Acoustic/Overlap. Upon receipt of the data, the NOAA Office for Coastal Management (OCM) converted some of the classifications for data storage and Digital Coast provisioning purposes. The following are the classifications of data available from the NOAA Digital Coast: 1 - Unclassified, 2 - Ground, 7 - Low point (noise), 9 - Water, 11 - Bathymetry, 12 - Overlap, 13 - Submerged Acoustic, 14 - Non-Submerged Bathymetry, 15 - Ignored Submerged Bathymetry/Overlap, 16 - Ignored Submerged Acoustic/Overlap
These files contain rasterized topobathy lidar elevations generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is no...
This project was delivered to the Office for Coastal Management for use and dissemination on the Digital Coast. These files contain classified topographic and bathymetric lidar data as unclassified valid topographic data (1), Valid bathymetric data (reclassed to 11) and valid topographic data classified as ground (2). Classes 1 and 2 are defined in accordance with the American Society for Phot...
This map service presents spatial information about the U.S. Interagency Elevation Inventory services across the United States and Territories in the Web Mercator projection. The service was developed as part of a collaboration between the National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management, the U. S. Geological Survey (USGS), the Federal Emergency Management Agency (FEMA), U.S. Department of Agriculture (USDA), the U.S. Army Corps of Engineers (USACE) and the National Park Service (NPS). The U.S. Interagency Elevation Inventory contains data and information from a variety of 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. For additional information, please contact the NOAA Office for Coastal Management (coastal.info@noaa.gov). These layers show the coverage of the best available elevation data by type. Information about each data set and either a download link or Point of Contact is provided. Metadata for the U.S. Interagency Elevation Inventory is available at (https://coast.noaa.gov/htdata/Metadata/MetadataNationalElevationInventory.html). The 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 (https://coast.noaa.gov/digitalcoast/publications/subscribe). We will do our best to provide you with information about any status changes to our map services.
These files contain 1 meter bare earth rasterized topobathy lidar elevations generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system.CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Nativ...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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 project merged recently collected topographic, bathymetric, and acoustic elevation data along the entire California coastline from approximately the 10 meter elevation contour out to California's 3 mile state water's boundary. This metadata record describes the Digital Elevation Model (DEM) created from the lidar and multibeam data. The DEM has a 1m cell size. Topographic LiDAR: The topographic lidar data used in this merged project was the 2009-2011 CA Coastal Conservancy Lidar Project. The data were collected between October 2009 and August 2011. This collection was a joint effort by the NOAA Office for Coastal Management (OCM); the California State Coastal Conservancy (SCC) Ocean Protection Council (OPC); Scripps Institution of Oceanography; and the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). The data coverage extends landward 500 m from the shoreline, along the entire California coastline. The LAS classifications are as follows: 1-Unclassified, 2-Ground, 7-Noise, 9-Water, 10- Mudflats, 12-Overlap. The LAS points were manually re-classified from water and unclassified to ground in offshore areas where necessary. Bathymetric LiDAR: The bathymetric lidar data used in this merged project was 2009-2010 U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Center of Expertise (JALBTCX) lidar, provided by JALBTCX. The data were collected for the California Coastal Mapping Project (CCMP). The original data were in ASCII format and were converted to LAS v1.2. The LAS data were classified as follows: 21-Non-submerged Bathymetry, 22-Bathymetry, 23-Ignored Submerged Bathymetry/Overlap. Multibeam Acoustic Data: The acoustic data data used in this merged project were provided by the California Seafloor Mapping Program (CSMP) Ocean Protection Council and NOAA's National Geophysical Data Center (NGDC). The original data were in ASCII format and were converted to LAS v1.2. NOAA's VDatum software was used to vertically transform soundings from mean lower low water (MLLW) tidal datum to NAVD88 orthometric datum where necessary. The LAS data were classified as follows: 25-Submerged Acoustic, 26-Ignored Submerged Acoustic/Overlap. Upon receipt of the data, the NOAA Office for Coastal Management (OCM) converted some of the classifications for data storage and Digital Coast provisioning purposes. The following are the classifications of data available from the NOAA Digital Coast: 1 - Unclassified, 2 - Ground, 7 - Low point (noise), 9 - Water, 11 - Bathymetry, 12 - Overlap, 13 - Submerged Acoustic, 14 - Non-Submerged Bathymetry, 15 - Ignored Submerged Bathymetry/Overlap, 16 - Ignored Submerged Acoustic/Overlap
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 New York, Hudson River 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 Albany, Columbia, Dutchess, Greene, Orange, Putnam, Rensselaer, and Ulster Counties. The DEM was produced from the following lidar data sets: 1. 2011-2012 New York Coastal Lidar 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.
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 Texas South 2 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 Cameron, Kenedy, Kleberg, and Willacy Counties. The DEM was produced from the following lidar data sets: 1. 2018 Texas - South Texas 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.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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This dataset contains a seamless high resolution, two-meter, topographic lidar digital elevation model (DEM) of the Lower Texas Coast. The elevations in this DEM represent the topographic bare-earth surface. The dataset is a fusion of several airborne topographic light detection and ranging (lidar) surveys acquired by various surveyors between the years 2007 – 2019 where coverage is primarily from 2018 and 2019. The landward extent of the lidar surveys selected for the creation of this DEM is determined by the boundary of the ADvanced CIRCulation (ADCIRC) TX2008_R35H computational mesh obtained from the Computational Hydraulics Group at The University of Texas at Austin. The spatial reference used for the tiles in the DEM is in Universal Transverse Mercator (UTM) Zone 14 in units of meters and in conformance with the North American Datum of 1983 (NAD83). All bare earth elevations are referenced to the North American Datum of 1988 (NAVD88). The 2-meter DEM of the upper Texas coast is available under GRIIDC Unique Dataset Identifier (UDI): HI.x833.000:0009 (DOI: 10.7266/2MYPTJ7Y).
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.
https://coast.noaa.gov/digitalcoast/data/coastallidar.html and https://coast.noaa.gov/digitalcoast/data/jalbtcx.html
Periodically, as new data becomes available
Open Data. There are no restrictions on the use of this data.