USGS task order 140G0218F0420 required Winter, 2018/Spring, 2019 LiDAR surveys to be collected over 32,562 square miles covering part or all of 82 counties in Georgia and 3 partial counties in South Carolina in support of the State of Georgia and the USGS 3DEP program. Aerial LiDAR data for this task order was planned, acquired, processed and produced at an aggregate nominal pulse spacing (ANPS...

The purpose of this project is to provide professional surveying and mapping services for the creation of a high-resolution digital elevation model developed from LIDAR data for Wayne County, Georgia. USGS Contract G10PC00026, Task Order Number G10PD000654

Original contact information: Contact Name: Mark Meade Contact Org: Photo Science, Inc. Phone: 859-277-8700 Email: mmeade@phot...

Classified Point Cloud -- USGS task order 140G0219F0277 required Winter 2019/Spring 2020 LiDAR surveys to be collected over 20,320 square miles covering part or all of 60 counties in Georgia and 5 counties in Alabama in support of the USGS 3DEP Program. Aerial LiDAR data for this task order was planned, acquired, processed, and produced at an aggregate nominal pulse spacing (ANPS) of less than...

The Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) has performed a coastal survey along the Atlantic Coast 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).

Between January and March 2010, lidar data was collected in southeast/coastal Georgia under a multi-agency partnership between the Coastal Georgia Regional Development Center, USGS, FEMA, NOAA and local county governments. Data acquisition is for the full extent of coastal Georgia, approximately 50 miles inland, excluding counties with existing high-resolution lidar derived elevation data. The data capture area consists of an area of approximately 5703 square miles. This project is within the Atlantic Coastal Priority Area as defined by the National Geospatial Program (NGP) and supports homeland security requirements of the National Geospatial-Intelligence Agency (NGA). This project also supports the National Spatial Data Infrastructure (NSDI) and will advance USGS efforts related to The National Map and the National Elevation Dataset. The data were delivered in LAS format version 1.2 in 5000 x 5000 foot tiles. The data are classified according to ASPRS LAS 1.2 classification scheme: Class 1 - Unclassified Class 2 - Bare Earth Class 7 - Low Point (Noise) Class 9 - Water Class 10 - Land below sea level Class 12 - Overlap

TASK NAME:FY 2012 GEORGIA DNR ELEVATION DATA NOAA Contract No. EA133C11CQ0010 Requisition No. NCNP0000-11-02615 Woolpert Order No. 71511 CONTRACTOR: Woolpert, Inc. The PSFY12 GADNR Elevation Data Task Order involves: collecting and delivering topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements for portions of 4 counties in Georgia. The Statement of Work (SOW) was developed by the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management (referred to as the Center) in partnership with the Georgia Department of Natural Resources (GADNR) Environmental Protection Division (EPD). The counties included Floyd, Polk, Paulding and Oconee. The purpose of the data is for use in coastal management decision making, including applications such as flood plain mapping and water rights management. LiDAR was collected at 1.0 points per square meter (1.0m GSD) for the portions of Floyd, Polk, Paulding and Oconee Counties. This area was flown during snow free and leaf-off conditions.

The storm-induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards (NACCH) project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Light detection and ranging (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 2017 Atlantic Coast (New York and New Jersey) United States Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP) topobathymetric (topobathy) 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.

LIDAR (light detection and ranging) data were acquired on March 9-10, 2009 by the National Center for Airborne Laser Mapping (NCALM) for the Duplin River (35 km2) and Blackbeard Creek (19 km2) salt marshes. The deliverables provided by NCALM included the raw LAS point clouds and 1 m spatial resolution gridded digital elevation models (DEMs).

TASK NAME: NOAA OCM Tift and Cook Counties GA Lidar Data Acquisition and Processing Production Task NOAA Contract No. EA133C-11-CQ-0010 Woolpert Order No. 75271 CONTRACTOR: Woolpert, Inc. This data set is comprised of lidar point cloud data, raster DEM, hydrologic 3-d breaklines, flightline vectors, survey control, project tile index, and project data extent. This task order requires lidar data to be acquired over the Tift and Cook Counties, GA area of interest (AOI), and will be acquired as part of this task order. The total area of the Tift and Cook Counties, GA AOI is approximately 515 square miles. The lidar data acquisition parameters for this mission are detailed in the lidar processing report for this task order. The lidar data will be acquired and processed under the requirements identified in this task order. 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 ESRI Grid Format. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, flightline vectors, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format. Ground conditions: Water at normal levels; no unusual inundation; no snow. Original contact information: Contact Org: Woolpert Phone: (937) 461-5660

NOAA Contract: EA133C11CQ0009 NOAA Task Order Number: T0013 The PS FY13 GA DNR Elevation Data Task Order involves collecting and delivering topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements in 4 counties in Georgia. The Statement of Work (SOW) was developed by the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management (referred to as the Center) in partnership with the Georgia Department of Natural Resources (GADNR) Environmental Protection Division (EPD). The counties included are Barrow,Clarke, Madison and Oglethorpe. The data collected for these 4 counties will exhibit Hydro Flattened DEMs for inclusion into the National Elevation Dataset (NED). The purpose of the data is for use in coastal management decision making, including applications such as floodplain mapping and water rights management. LiDAR was collected at 1.0 points per square meter (1.0m GSD) for Barrow, Clarke, Madison and Oglethorpe Counties.This area was flown during snow free and leaf-off conditions.

LIDAR (light detection and ranging) data were acquired on March 9-10, 2009 by the National Center for Airborne Laser Mapping (NCALM) for the Duplin River (35 km2). A 1 m spatial resolution gridded digital elevation models (DEM) was produced from these data. The accuracy of the DEM was assessed using real time kinematic (RTK) GPS ground reference data and elevations were corrected following the method of Hladik and Alber (2012).

This metadata record describes the DTM comprised of classified aerial lidar elevation points, photogrammetrically compiled breaklines and the derived TIN for Dekalb County, GA Original contact information: Contact Name: Stacy Grear Contact Org: Dekalb County GIS Department Title: Acting Director Phone: 404-371-3619 Email: scgrear@dekalbcountyga.gov will change to scgrear@dekalbc...

A bathymetric survey of Norfork Lake, Arkansas-Missouri, was conducted in September-October, 2015, by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for multi-beam sonar surveys similar to those described by Lee (2013) and Huizinga (2016). Point (XYZ) data from the bathymetric survey were merged with XYZ data collected during a March 2008 aerial LiDAR survey provided by the U.S. Army Corps of Engineers, Little Rock District and stored in a feature dataset within the geodatabase. A terrain (digital terrain model, or DTM) was created from the XYZ data and stored in the geodatabase. Products derived from the DTM and stored in the geodatabase include a digital elevation model (DEM), a feature class of elevation contours, a table of surface area and storage capacity (volume) of the lake, and a Python script used to incrementally compute the storage capacity. References: Lee, 2013, Estimation of reservoir storage capacity using multibeam sonar and terrestrial LiDAR, Randy Poynter Lake, Rockdale County, Georgia, 2012: U.S. Geological Survey Scientific Investigations Map 3265, 1 sheet, https://pubs.usgs.gov/sim/3265/; Huizinga, 2016, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River near Kansas City, Missouri, June 2–4, 2015: U.S. Geological Survey Scientific Investigations Report 2016–5061, 93 p., http://dx.doi.org/10.3133/sir20165061.

This repository the results produced by Hurtado-Pulido, Amer, Ebinger, and Holcomb “Variations in subsidence patterns in the Gulf of Mexico passive margin from Airborne-LiDAR data and Time Series InSAR: Baton Rouge Case Study”.

This repository presents data sets for figures 4, 5, 6, 7 and 8. Processing methods are described in the paper. The READme file contains details about each file. Please address any questions about this dataset to Hurtado-Pulido.

LiDAR data from 1999 is stored and distributed by the Atlas: The Louisiana Statewide GIS (https://maps.ga.lsu.edu/lidar2000/). LiDAR data from 2018 is stored and distributed by the USGS Server through The National Map Download Manager (https://apps.nationalmap.gov/downloader/).

EnviSAT SAR images were retrieved from the Earth Observation Catalogue (https://eocat.esa.int/sec/#data-services-area). Sentinel-1 SAR images from the Copernicus Open Access Hub (https://scihub.copernicus.eu/dhus/#/home). Both property of the European Space Agency.

GNSS information was processed by the Nevada Geodetic Laboratory (Blewitt et al., 2018; http://geodesy.unr.edu/NGLStationPages/gpsnetmap/GPSNetMap.html).

Data from water, injection, and extraction wells is stored in the Strategic Online Natural Resources Information System property of the Louisiana Department of Natural Resources (http://sonris-www.dnr.state.la.us/gis/agsweb/IE/JSViewer/index.html?TemplateID=181).

A bathymetric survey of DeQueen Lake, Sevier County, Arkansas was conducted in July, 2015, by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for multi-beam sonar surveys similar to those described by Lee, K.G. (2013) and Huizinga (2016). XYZ (point) data from the bathymetric survey were merged with XYZ (point) data from an aerial LiDAR survey conducted in March, 2008 for the U.S. Army Corps of Engineers, Little Rock District and stored in a feature dataset within the geodatabase. A terrain (digital terrain model, or DTM) of the lakebed below flood pool elevation 474 ft above the North American Vertical Datum of 1988 (NAVD88) was created from the XYZ (point) data and stored in the geodatabase. Child items derived from the DTM and stored in the geodatabase include a digital elevation model (DEM) in Esri GRID format with a cell size of 3 ft, a feature class of elevation contours at 10-ft intervals, a table of surface area and storage capacity (volume) of the lake at 1-ft increments in water surface elevation, and a python script used to incrementally compute the storage capacity. References: Lee, K.G., 2013, Estimation of reservoir storage capacity using multibeam sonar and terrestrial LiDAR, Randy Poynter Lake, Rockdale County, Georgia, 2012: U.S. Geological Survey Scientific Investigations Map 3265, 1 sheet, https://pubs.usgs.gov/sim/3265/; Huizinga, R.J., 2016, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River near Kansas City, Missouri, June 2–4, 2015: U.S. Geological Survey Scientific Investigations Report 2016–5061, 93 p., http://dx.doi.org/10.3133/sir20165061.

A digital elevation model (DEM) of a portion of the Potato Creek watershed in Georgia was produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over the area on February 27, 2010, 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 originally by the National Aeronautics and Space Administration (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 resultant 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 .

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 Georgia North 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 Chatham, Effingham, Bryan, Liberty, Long and Mcintosh Counties. The DEM was produced from the following lidar data sets: 1. USGS 2018 Statewide GA 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.

Historical shoreline change is considered to be a crucial element in studying the vulnerability of the national shoreline. These data are used in a shoreline change analysis for the USGS National Assessment Project. There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the USGS has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. Shorelines are compiled by state and generally correspond to one of four time periods: 1800s, 1920s-1930s, 1970s, and 1997-2002. Each shoreline may represent a compilation of data from one or more sources for one or more dates provided by one or more agencies. Details regarding source are provided in the 'Data Quality Information' section of this metadata report. Shoreline vectors derived from historic sources (first three time periods) represent the high water line at the time of the survey, whereas modern shorelines (final time period) represent the mean high water line..

This metadata record describes the DTM comprised of classified aerial lidar elevation points, photogrammetrically compiled breaklines and the derived TIN for Carroll County, GA. This dataset contains the following classifications of points: Class 1 = Unclassified. This class includes vegetation, buildings, noise etc. Class 2 = Ground

Original contact information: Contact Name: Peter Debick...

This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...