description: 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. 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. Upon receipt of the DEM data, NOAA converted from vertical feet to vertical meters to meet the standards of the Digital Coast Data Access Viewer.; abstract: 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. 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. Upon receipt of the DEM data, NOAA converted from vertical feet to vertical meters to meet the standards of the Digital Coast Data Access Viewer.

The NC Emergency Management's Spatial Data Download website. GIS data available includes: flood zones, QL1 and QL2 LiDAR, Digital Elevation Models (DEMs) sourced from the LiDAR, building footprints, and school locations. An NCID or Google login is required - see the website for more details.https://sdd.nc.gov/sdd

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 Geological Survey (USGS), and the National Resources Conservation Service(NRCS)were also stakeholders and their representative roles can be found in the project coordination Issue Papers. The data set was collected specific to the 2014 Phase Two project area consisting of 20 North Carolina counties which are listed below in the "Place Keywords" section of this metadata record. The LiDAR was collected between January 30 and March 13 of 2014, at nominal post spacing of 0.7 meters or better for a total project area of 14,500 square miles. Three sensors were used for the data collection; two Leica ALS70HP-II (serial numbers 7198 and 7123) and an Optech Pegasus HA500 (serial number 13SEN303). All data was collected during leaf-off conditions and the three coastal counties within the project area were collected during low tide conditions. Ground survey support for the project included the establishment of GPS base stations and the collection of control points used for calibration. All data was delivered in the North Carolina State Plane Coordinate System, with a horizontal datum of NAD83 (2011), vertical datum of NAVD88 (Geoid 12A), in US Survey Feet (vertical units later changed to meters). Data was delivered tiled to a 5,000 foot by 5,000 foot tiling scheme unless otherwise specified in this product description. All LiDAR was delivered in LASer (LAS) version 1.3 standard format. Products for this project derived from the source LiDAR included: intensity images in GeoTIFF format, hydro-flattening breaklines in ESRI File Geodatabase format, Digital Elevation Models (DEMs) in ESRI Grid format, ESRI Terrain Datasets (by county) in ESRI File Geodatabase format, product and project-level metadata, and project reports to include the Report of Survey, Post-Acquisition Report, and Project Report. All LiDAR and derivative products for this project met the specifications stipulated in Delivery Order 59 and the NC LiDAR Standard. Original title was "2014 LiDAR Acquisition and Associated Products for Phase Two Counties in North Carolina". The title was modified by NOAA Office for Coastal Management for consistency with the phase one collection and to reflect that this metadata accompanies only the derived DEM. NOAA also changed the vertical units to meters and file format to GeoTIFF for ingestion into the Digital Coast Data Access Viewer.

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 (...

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.

description: 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 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 (later changed to vertical meters). LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.3 Files formatted to 12138 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. Ground Conditions: LiDAR was collected in Spring 2014, 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, Photo Science established a total of 282 QA control points and 161 Land Cover control points that were used to calibrate the LIDAR to known ground locations established throughout the North Carolina - Sandy project area. Data was collected under USGS Contract: G10PC00026 Task Order Number: G14PD00182 and originally had a title of "Lidar data for North Carolina - SANDY 2014". The title was modified to avoid conflict with other phases of the North Carolina collection conducted by the North Carolina Floodplain Mapping Program (NCFMP). This data was funded jointly by USGS and NCFMP.; abstract: 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 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 (later changed to vertical meters). LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.3 Files formatted to 12138 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. Ground Conditions: LiDAR was collected in Spring 2014, 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, Photo Science established a total of 282 QA control points and 161 Land Cover control points that were used to calibrate the LIDAR to known ground locations established throughout the North Carolina - Sandy project area. Data was collected under USGS Contract: G10PC00026 Task Order Number: G14PD00182 and originally had a title of "Lidar data for North Carolina - SANDY 2014". The title was modified to avoid conflict with other phases of the North Carolina collection conducted by the North Carolina Floodplain Mapping Program (NCFMP). This data was funded jointly by USGS and NCFMP.

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.

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.

Product: These lidar data are processed Classified LAS 1.4 files, formatted to individual 750 m x 750 m tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Geographic Extent: Eastern North Carolina NC_HurricaneFlorence_1 (Work Unit 186825) covering approximately 2543 total square miles in 13 counties: Bladen, Brunswick, Columbus, Dillon, Duplin, Hok...

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.

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.

A digital elevation model (DEM) of a portion of the National Park Service Southeast Coast Network's Cape Hatteras National Seashore in North Carolina, post-Nor'Ida (November 2009 nor'easter), was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geological Survey (USGS) and the National Park Service (NPS). Elevation measurements were collected over the area using the Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 50 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters with an average point spacing of 2-3 meters. The EAARL, developed by NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of +/-15 centimeters. A sampling rate of 3 kilohertz or higher results in an extremely dense spatial elevation dataset. Over 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When subsequent elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

For more information on Lidar science and the Experimental Advanced Airborne Research Lidar (EAARL) system and surveys, see http://ngom.usgs.gov/dsp/overview/index.php and http://ngom.usgs.gov/dsp/tech/eaarl/index.php .

NOAA Florence Topobathymetric Lidar data were collected by NV5 Geospatial (NV5) in 9 blocks from 20191126 - 20200825 using the follow sensors: Block01 -Riegl VQ880GII system Block02 - Riegl VQ-880-G and Riegl VQ-880-GII systems Block03 - Riegl VQ880G, Riegl VQ880GII, and Riegl VQ880GH systems Block04 - Riegl VQ880GII and Leica Chiroptera 4x systems Block05 - Riegl VQ880GII, Leica Chiroptera 4x and Hawkeye systems Block06 - Riegl VQ880GII, Leica Chiroptera 4x and Hawkeye systems Block07 - Riegl VQ880G, Riegl VQ880GII, and Leica Chiroptera 4x systems Block08 - Riegl VQ880G and Riegl VQ880GII systems Block09 - Riegl VQ880G and Riegl VQ880GII systems This dataset includes topobathymetric data in a LAS format 1.4, point data record format 6, with classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards. This data set also includes LiDAR intensity values, number of returns, return number, time, and scan angle. The 100 meter buffered project area consists of approximately 3,075,010 acres along the Eastern coast of Virginia, North Carolina, and South Carolina. The delivered classified lidar data were then transformed from ellipsoid to geoidal height (Geoid18) and used to create topobathymetric DEMs in GeoTIFF format with 1m pixel resolution.

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.

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...

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

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

This lidar dataset was collected by NCALM for Paula Figueiredo at North Carolina State University. This dataset was collected to examine earthquake dynamics related to the Mw 5.1 2020 earthquake in Sparta, North Carolina. The study area covers approximately 11 km2. Publications associated with this dataset can be found at NCALM's Data Tracking Center

NCALM Project. PI: Sara Tebbens, Wright State University. This Lidar survey was conducted over the North Carolina Outer Banks between Cape Lookout and Manteo on June 22, 2006 (GPS Day 173). The survey window needed to be optimized for both a low PDOP (strong satellite geometry) and low tide, with low tide being more essential. Both of these objectives were successfully met as best as possible. Low tide at Cape Hatteras on June 22 (06/22/2006) was 11:02AM LDT and was predicted at -0.2 L. Our survey time was from 10:10 AM - 1:30 PM which included degraded PDOP from 12:15 - 12:45, but was otherwise good. Three flight passes were required to cover the coastline. The coastline was flown by eye since navigation waypoints for this project were not provided. Data available through OpenTopography were collected at a "low pass" height (600 meters). This area was re-surveyed in July 2007 and data are available through OpenTopography: North Carolina Coast: Quantifying Patterns of Coastal Change (July 2007) Publications associated with this dataset can be found at NCALM's Data Tracking Center

This lidar dataset was collected as part of an NCALM Seed grant for Corey Scheip at North Carolina State University. This study used airborne lidar to evaluate regional landslide area-volume scaling relationships after a large rainfall-triggered mass wasting event in western North Carolina. The study area covers approximately 78 km ² near Hendersonville, North Carolina.

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