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 B...

A digital elevation model (DEM) for North Carolina. The grid cell size is 3 feet. Data used to create the DEM was derived from LiDAR collected by the NC Floodplain Mapping Program and processed by NC Department of Public Safety - Division of Emergency Management.Download county-based DEMs from the NC OneMap Direct Data Downloads. Data should not be downloaded using the map on the dataset's item page.

This project was a joint effort between NC Emergency Management, NC Geodetic Survey, and the NCDOT. The following people served as the main representatives for each stakeholder: NC Emergency Management- Hope Morgan(primary contact) and John Dorman; NC Geodetic Survey- Gary Thompson and Steve Kauffman; NCDOT- Keith Johnston and Marc Swartz. The United States Marine Corps (USMC), United States...

The data set was collected specific to the 2017 Phase Five project area consisting of 21 North Carolina counties. LiDAR data for the project and the validation site was collected by a single aerial vendor on ESP team between February 10, 2017 and April 10, 2017 using Geiger-mode Avalanche Photodiode (GmAPD) sensors. The aerial vendor on the ESP team was Harris Corporation (Harris).Three GmAPD (...

Digital elevation models (DEMs) were developed from lidar surveys from 2013, 2015, and 2022 for the Greater Raleigh, NC Area, with 1-meter resolution. A DEM of difference raster was also developed to represent change in elevation from 2015 to 2022. The 2015 and 2022 DEMs were selected for differencing because of the superior quality level (QL2) of base lidar data used to develop the DEMs compared with the poorer quality level (QL3) of base lidar data used to develop the 2013 DEM. The DEMs were developed to use as inputs to generate a suite of geomorphic metrics for use in a machine learning model to predict streambank erosion hotspots. All files are available as Cloud Optimized GeoTIFF, meaning they are formatted to work on the cloud or can be directly downloaded.

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, Southern 1 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 Bladen, Brunswick, Columbus, New Hanover, and Pender 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 2 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.

A shaded relief map that provides a clear picture of the topography of the State. The Digital Elevation Models (DEMs) that support this service have a 3ft. grid cell size. They were derived from LiDAR collected by the NC Floodplain Mapping Program and processed by NC Department of Public Safety - Division of Emergency Management. More information about the LiDAR data can be found on the North Carolina LiDAR website.Download county-based DEMs from the NC OneMap Direct Data Downloads section of the website. Data should not be downloaded using the map on the dataset's item page.

Geographic Extent: North Carolina Area of Interest for Sandy, covering approximately 9,396 square miles. Dataset Description: The North Carolina - Sandy 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 Ge...

This data set is a 20ft resolution canopy height layer for the eastern 59 counties of North Carolina. This data was derived from the 2014 and 2015 QL2 LiDAR datasets collected by USGS and the North Carolina Department of Public Safety. This data was processed using Laszip software to compress the LAS data to LASZIP format, GDAL gdalbuildvirt was used to create county mosaics of 5ft resolution. The counties are: Alamance, Beaufort, Bertie, Bladen, Brunswick, Camden, Carteret, Caswell, Chatham, Chowan, Columbus, Craven, Cumberland, Currituck, Dare, Duplin, Durham, Edgecombe, Franklin, Gates, Granville, Greene, Guilford, Halifax, Harnett, Hertford, Hoke, Hyde, Johnston, Jones, Lee, Lenoir, Martin, Montgomery, Moore, Nash, New Hanover, Northampton, Onslow, Orange, Pamlico, Pasquotank, Pender, Perquimans, Person, Pitt, Randolph, Richmond, Robeson, Rockingham, Sampson, Scotland, Tyrrell, Vance, Wake, Warren, Washington, Wayne, and Wilson. LINK TO THE DATA SET: https://www.sciencebase.gov/catalog/item/5a591b25e4b00b291cd6a949

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 2009 U.S. Army Corps of Engineers (USACE) North Carolina 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.

As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey developed a suite of high-resolution lidar-derived raster datasets for the Greater Raleigh Area, North Carolina, using repeat lidar data from the years 2013, 2015, and 2022. These datasets include raster representations of digital elevation models (DEMs), DEM of difference, the ten most common geomorphons (i.e. geomorphologic feature), lidar point density, and positive topographic openness. Raster footprints vary by year based on extent of lidar data collection. All files are available as Cloud Optimized GeoTIFF, meaning they are formatted to work on the cloud or can be directly downloaded. These metrics have been developed to pair with field geomorphic assessments for use in the development of a model that can remotely predict streambank erosion potential along streams in the Greater Raleigh, NC Area, however, they have the potential to be used in numerous applications.

NCALM Seed. PI: Katherine Windfeldt, University of Minnesota- Twin Cities. The survey area consists of a 64.95 square kilometer polygon, located 15 kilometers south of Franklin, NC. This survey was flown as a part of Seed Money Survey Campaign that took place in Aug-Sept 2009. This section was surveyed on Aug 26, 2009 and was flown out of Macon County airport in Franklin, North Carolina. The data were collected to use lidar data to estimate forest leaf structure, terrain and hydrophysiology in a portion of the Natahala National Forest.

Publications associated with this dataset can be found at NCALM's Data Tracking Center

This is a lidar DEM at 1m resolution, in EPSG:3358, extracted from the GRASS GIS North Carolina Dataset.

Original CREDITS.txt:

This OSGeo sample dataset for research, development and education was
prepared thanks to agencies providing public access to geospatial
data. We are especially grateful to the North Carolina (NC) Center for
Geographic Information and Analysis, Wake County GIS, NC State Climate
Office, NC Department of Transportation, USGS and NASA for making
their data available. Advice and assistance with the data set by
Julia Harrell, Silvia Terziotti, Robert Austin, Adeola Dokun, Jeff
Essic, and Doug Newcomb, and computer system assistance by Micah Colon
are greatly appreciated. Martin Spott is acknowedged for processing
of geonames.org data for NC.

The processing of MODIS time series (separate MAPSET) was kindly
supported by telascience.org, we are grateful to John Graham for
granting access to these computational resources.

August 2007 Helena Mitasova
Markus Neteler
http://www.grassbook.org

The Digital Elevation Models (DEM) were generated at a 3.125 foot resolution as rasters, using the ground (Class 2) points and the hydro flattened breaklines as inputs from the project. The DEMs were produced specific to the 2016 Phase Four project area consisting of 20 North Carolina counties. LiDAR data for the project and the validation site was collected by a single aerial vendor on ESP tea...

Artificial drainage has major ecosystem impacts through the development of extensive ditch networks that reduce storage and induce large-scale vegetation changes. This has been a widespread practice of water table management for agriculture in Eastern North Carolina. However, these features are challenging to identify, and (because of their structure) have been determined by non-natural factors. A dataset of open ditches was processed by calculating terrain openness (also called positive openness): a value based on a line-of-sight approach to measure the surrounding eight zenith angles as viewed above the landscape surface. The result from calculating openness with high resolution digital elevation models (DEMs or Lidar) was then refined by masking natural water ways (stream valleys) and channels that are associated with transportation and urban areas. The resulting raster dataset presented here represents areas without ditches (cell value of 0), a ditch not along a transportation ...

A layer showing degrees of slope derived from Digital Elevation Models (DEMs) with a 3ft. grid cell size. Steepness is represented in degrees. The range of values is 0 degrees (flat) to 90 degrees (vertical). Data used to create the DEMs was derived from LiDAR collected by the NC Floodplain Mapping Program and processed by NC Department of Public Safety - Division of Emergency Management.Download county-based DEMs from the NC OneMap Direct Data Downloads. Data should not be downloaded using the map on the dataset's item page.

Lidar bare earth point density rasters were developed from lidar surveys from 2013, 2015, and 2022 for the Greater Raleigh, NC Area, with 1 meter resolution. These rasters were developed to assess the spatial accuracy of other lidar-derived metrics within this data release based on density and location of lidar points. All files are available as Cloud Optimized GeoTIFF, meaning they are formatted to work on the cloud or can be directly downloaded.

This dataset is the 20ft Digital Elevation Model (DEM) for all of Buncombe County, NC. The DEMs were developed from Light Detection and Ranging (LIDAR) data acquired January though February through April 2003, with partial re-flights for gap data in December 2003. Cell values in the DEMs were derived from a Triangulated Irregular Network (TIN) produced from the bare earth mass points and breaklines. The dataset was provided to the Buncombe County by the NC Floodplain Mapping Project as pre-release data in July and Sept 2006 .Specific information about individual data tiles can be obtained at www.ncfloodmaps.com

Original Product: These are Digital Elevation Model (DEM) data for North Carolina as part of the required deliverables for the NC Hurricane Florence 2020 D20 Lidar project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 0.5 meter hydro-flattened Raster DEM.

Original Dataset Geographic Extent: Eastern North Carolina NC_HurricaneFlorence_1 (Work U...

A shaded relief map derived from Digital Elevation Models (DEMs) with a 3ft. grid cell size. A vertical exaggeration factor of 3 used for visual effect. Data used to create the DEMs was derived from LiDAR collected by the NC Floodplain Mapping Program and processed by NC Department of Public Safety - Division of Emergency Management.Download county-based DEMs from the NC OneMap Direct Data Downloads. Data should not be downloaded using the map on the dataset's item page.