This data set is comprised of lidar point cloud data. This project required lidar data to be acquired over Horry County, South Carolina. The total area of the Horry County Elevation Data and Imagery AOI is approximately 1092 square miles. Lidar data was collected and processed to meet the requirements of the project task order. The lidar collection was a collaborative effort between two data acquisition firms. While Woolpert was responsible for collection of the majority of the county, the coastal portion of the data was collected by Quantum Geospatial and is detailed in the processing steps of the metadata. 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. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. The final products include classified LAS, four (4) foot pixel raster DEMs of the bare-earth surface in ERDAS IMG Format. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Ground conditions: Water at normal levels; no unusual inundation; no snow. The bare earth DEMs along the coast may have a variance in the water heights due to temporal differences during the lidar data acquisition and will be represented in DEM as a seam-like anomaly. One coastal elevation was applied to entire project area. Due to differing acquisition dates and thus differing tide levels there will be areas in the DEM exhibiting what appears to be "digging" water features. Sometimes as much as approximately 2.5 feet. This was done to ensure that no coastal hydro feature was "floating" above ground surface. This coastal elevation will also affect connected river features wherein a sudden increase in flow will be observed in the DEM to accommodate the coastal elevation value. During Hydrologic breakline collection, Woolpert excluded obvious above-water piers or pier-like structures from the breakline placement. Some features extend beyond the apparent coastline and are constructed in a manner that can be considered an extension of the ground. These features were treated as ground during classification and subsequent hydrologic delineation. In all cases, professional practice was applied to delineate what appeared to be the coast based on data from multiple sources; Due to the many substructures and the complexity of the urban environment, interpolation and apparent "divots" (caused by tinning) may be evident in the surface of the bare earth DEM. In all cases, professional practice was applied to best represent the topography. The data received by the NOAA OCM are topographic data in LAS 1.2 format, classified as unclassified (1), ground (2), all noise (7), water (9), ignored ground (10), overlap unclassified (17), and overlap ground (18). Digital Elevation Models (DEMs) and breakline data are also available. The DEM data are available at: ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid18/data/4814/DEMs/ The breakline data are available at: ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid18/data/4814/breaklines Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office of Coastal Management (OCM)or its partners. Original contact information: Contact Org: Woolpert Phone: (937) 461-5660

LiDAR data collection was performed utilizing a Leica ALS-50 sensor, collecting multiple return x, y, and z data as well as intensity data. LiDAR data was processed to achieve a bare ground surface, and was delivered in LAS format. Classified LAS data was also used as a base for collection of hydro features, delivered in MicroStation v8 format. The dates of collection are: 1. JASPER COUNTY (full county): 20061227 to 20070216 2. COLLETON COUNTY (full county: 20070216 to 20070323 3. CHARLESTON COUNTY (Partial County): 20070222 to 20070223 Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov

In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey developed a StreamStats web application (https://water.usgs.gov/osw/streamstats/) that provides analytical tools for water-resources planning and management (Ries and others, 2017). This data set presents the lidar-derived flow direction, flow accumulation, streamline, and hydro-enforced digital elevation model raster data used for analysis in StreamStats. Rasters are included for each of the following hydrologic unit codes (HUCs): 03040101, 03040102, 03040103, 03040104, 03040105, 03040201, 03040202, 03040203, 03040204, 03040205, 03040206, 03040207, 03040208, 03050101, 03050102, 03050103, 03050104, 03050105, 03050106, 03050107, 03050108, 03050109, 03050110, 03050111, 03050112, 03050201, 03050202, 03050203, 03050204, 03050205, 03050206, 03050207, 03050208, 03050209, 03050210, 03060101, 03060102, 03060103, 03060104, 03060105, 03060106, 03060107, 03060108, 03060109, and 03060110. The raste ...

The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster, Chesterfield, Marlboro, Darlington, Dillon, Marion, Williamsburg, Clarendon, and Orangeburg. The project area consists of approximately 10,194 square miles including a buffer of 50 feet along the edges of the project area and an additional buffer in some areas. The project design of the lidar data acquisition was developed to support a nominal post spacing of 1.4 meters. The Fugro EarthData, Inc. acquisition team of Fugro Horizons, Inc. and North West Group acquired 721 flight lines in 44 lifts from January 15, 2008 through February 10, 2008. The data was divided into 5000' by 5000' foot cells that serve as the tiling scheme. Lidar data collection was performed with a Cessna 310 aircraft, utilizing a Leica ALS50-II MPiA sensor, collecting multiple return x, y, and z data as well as intensity data. Lidar data was processed to achieve a bare ground surface (Classes 2 and 8). Lidar data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser range finding, GPS positioning and inertial measurement technologies, lidar instruments are able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation.

Woolpert Inc. conducted a LiDAR survey to acquire LiDAR capable of producing a DEM for orthophoto rectification and able to support 2-foot contour specifications. The LiDAR data was acquired across the project area of Dorchester County, SC. The lidar data acquisition was executed in 5 sessions, from March 5 to March 7, 2007, using a Leica ALS50(83) Lidar System. The airborne GPS (ABGPS) base st...

The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster, Chesterfield, Marlboro, Darlington, Dillon, Marion, Williamsburg, Clarendon, and Orangeburg. This metadata file is for the lidar county deliverables for Union County, SC. The project area consists of approximately 10,194 square miles including a buffer of 50 feet along the edges of the project area and an additional buffer in some areas. The project design of the lidar data acquisition was developed to support a nominal post spacing of 1.4 meters. The Fugro EarthData, Inc. acquisition team of Fugro Horizons, Inc. and North West Group acquired 721 flight lines in 44 lifts from January 15, 2008 through February 10, 2008. The data was divided into 5000' by 5000' foot cells that serve as the tiling scheme. Lidar data collection was performed with a Cessna 310 aircraft, utilizing a Leica ALS50-II MPiA sensor, collecting multiple return x, y, and z data as well as intensity data. Lidar data was processed to achieve a bare ground surface (Classes 2 and 8). Lidar data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser range finding, GPS positioning and inertial measurement technologies, lidar instruments are able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation.

Original Dataset Description: Aerial lidar data was collected for a 5-county project area which encompassed the South Carolina Counties of Cherokee, Union, Chester, Lancaster, and Fairfield. Lidar data for the project was collected by Quantum Spatial as part of the ESP team, between January 16, 2020 and February 15, 2020 using 2 Leica ALS80 sensors; serial numbers 3061 and 3546. Data was collec...

Axis Geospatial collected 1265 square miles in the South Carolina county of Berkeley, and 1124 sq miles in Charleston County. Precision Aerial Reconnaissance collected 965 square miles in Williamsburg county. The nominal pulse spacing for this project was 1 point every 0.7 meters. Dewberry used proprietary procedures to classify the LAS according to project specifications: 1-Unclassified, 2-...

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.

Provide high density LiDAR elevation data map of Richland County, SC. Provide Bare Earth DEM (vegetation removal) of Richland County, SC.

LMSI provided high accuracy, calibrated multiple return LiDAR for roughly 785 square miles covering Beaufort County, South Carolina. The nominal point spacing for this project was at least 4 points per square meter. Dewberry used proprietary procedures to classify the LAS according to project specifications: 1-Unclassified, 2-Ground, 7-Noise, 8-Model Key Points, 9-Water, 10-Ignored Ground, 11-Withheld Points, 13-Bridges and Culverts. Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro-enforced DEMs for the 982 tiles (5000 ft x 5000 ft) that cover the project area.

The National Center for Airborne Laser Mapping (NCALM) conducted a lidar survey of the Calhoun Critical Zone Observatory (CCZO) area on February 26, 2016. The survey was funded by NSF award EAR-1339015; the Calhoun CZO is funded by NSF award EAR-1331846 (P.I. Daniel deB. Richter).

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

Towill Inc. collected LiDAR for over 3,300 square miles in Calhoun, Aiken, Barnwell, Edgefield, McCormick, and Abbeville counties in South Carolina. This metadata covers the LiDAR products for Edgefield County. The nominal pulse spacing for this project is 1.4 meters. This project was collected with a sensor which collects waveform data and provides an intensity value for each discrete pulse extracted from the waveform. GPS Week Time, Intensity, Flightline and echo number attributes were provided for each LiDAR point. Dewberry used proprietary procedures to classify the LAS according to contract specifications: 1-Unclassified, 2-Ground, 7-Noise, 8-Model Key Points, 9-Water, 10-Ignored Ground due to breakline proximity. Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro flattened DEMs for the 651 tiles (5000 ft x 5000 ft) that cover the project area.

Precision Aerial Reconnaissance (PAR) collected 902 square miles in the South Carolina county of Georgetown. The nominal pulse spacing for this project was 1 point every 0.7 meters. Dewberry used proprietary procedures to classify the LAS according to project specifications: 1-Unclassified, 2-Ground, 7-Low Noise, 8-Model Keypoints, 9-Water, 10-Ignored Ground due to breakline proximity, 13-Cu...

The U.S. Geological Survey South Atlantic Water Science Center, in cooperation with the South Carolina Department of Transportation, implemented a South Carolina StreamStats application in 2018. This shapefile dataset contains vector lines representing streams, rivers, and ditches that were used in preparing the underlying data for the South Carolina StreamStats application. Data were compiled from multiple sources, but principally represent lidar-derived linework from the South Carolina Department of Natural Resources and the South Carolina Lidar Consortium.The South Carolina hydrography lines were created from elevation rasters that ranged from 4 to 10 ft resolution, to produce a product of approximately 1:6,000-scale. Other sources include the 1:24,000 scale high resolution National Hydrography Dataset streamlines [for streamlines in Georgetown County (SC), NC, and GA] and the 1:4,800 scale local-resolution North Carolina Stream Mapping Project lines (mountain counties). These ...

NCALM Seed Project. PI: Jeffery Hoeft, Georgia Institute of Technology. The Survey area consists of two irregular polygons totaling 42 square kilometers. The areas of interest are located 20 kilometers west of Charleston, South Carolina. The data were collected to search for surface expressions of the 1886 Charleston, South Carolina Earthquake.

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

The Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) has performed a coastal survey along the Atlantic coast of SC in 2010. The data types collected include bathymetry and topographic lidar point data, true color imagery and hyperspectral imagery. The collection effort follows the coastline and extends 500m inland and 1000m offshore or to laser extinction, whichever comes first. Topographic lidar is collected with 200% coverage, yielding a nominal 1m x 1m post-spacing. Where water conditions permit, the bathymetry lidar data will have a nominal post spacing of 4m x 4m. The true color imagery will have a pixel size approximately 35cm and the hyperspectral imagery will be provided in 1m pixels containing 36 bands between 375 - 1050 nm with 19 nm bandwidth. The final data will be tied to horizontal positions, provided in decimal degrees of latitude and longitude, and are referenced to the North American Datum of 1983 (NAD83). Vertical positions are referenced to the NAD83 ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID03 model is used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88).

The U.S. Geological Survey South Atlantic Water Science Center, in cooperation with the South Carolina Department of Transportation, implemented a South Carolina StreamStats application in 2018. This shapefile dataset contains vector lines representing streams, rivers, and ditches that were used in preparing the underlying data for the South Carolina StreamStats application. Data were compiled from multiple sources, but principally represent lidar-derived linework from the South Carolina Department of Natural Resources and the South Carolina Lidar Consortium.The South Carolina hydrography lines were created from elevation rasters that ranged from 4 to 10 ft resolution, to produce a product of approximately 1:6,000-scale. Other sources include the 1:24,000 scale high resolution National Hydrography Dataset streamlines [for streamlines in Georgetown County (SC), NC, and GA] and the 1:4,800 scale local-resolution North Carolina Stream Mapping Project lines (mountain counties). These vector lines were used to enforce drainages on digital elevation model raster grids using the HydroDem/Agree program during data preparation.

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017) were combined with the new lidar shorelines to calculate long-term (up to 166 years) and short-term (up to 18 years) rates of change. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line th ...

These data were collected by Quantum Spatial, Inc. (QSI) for the National Oceanic and Atmospheric Administration (NOAA), National Geodetic Survey (NGS), Remote Sensing Devision (RSD), Coastal Mapping Program (CMP) using a Riegl VQ880G system. The Delivery 1 and Delivery 2 (D1/D2) data were acquired from 20161203 - 20170301 in nine missions. The missions were flown on 20161203, 20161209, 20161210, 20161228, 20161229, 20161230, 20170105, 20170228, and 20170301. The Delivery 3 (D3) data were acquired from 20161002 - 20170219 in fifteen missions. Data acquired on 10/02, pre-Hurricane Matthew, was only used to fill a small gap in data entirely over water where no bathymetric coverage was achieved. The Delivery 4 (D4) data were acquired from 20161211 - 20170204 in thirteen missions. The Delivery 5 (D5) data were acquired from 20170112 - 20170204 in eleven missions. The Delivery 6 (D6) data were acquired from 20161203 - 20170301 in eleven missions. The Delivery 7 (D7) data were acquired from 20170212 - 20170221 in eight missions. The Delivery 8 (D8) data were acquired from 20170218 - 20170227 in six missions.