This metadata record describes the topographic mapping of Hancock and Jackson Counties, Mississippi during 2005. Using a combination of laser rangefinding, 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. This data was collected at submeter resolut...

Product: These are Digital Elevation Model (DEM) data for Mississippi NRCS FY16 Lidar as part of the required deliverables for Mississippi NRCS FY16 Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines and bridge breaklines were used to create a 1 meter hydro-flattened Raster DEM. Geographic Extent: AOI is located in Mississippi over Warren, Hinds, Claibo...

Product: Processed, classified lidar point cloud data tiles in LAZ 1.4

Geographic Extent: Approximately 10,966 square miles in southeast Minnesota.

MN_CentralMissRiver_1 (Work Unit 230948) - covering approximately 495 square miles MN_CentralMissRiver_2 (Work Unit 300156) - covering approximately 2621 square miles MN_CentralMissRiver_3 (Work Unit 300157) - covering approximately 2786 sq...

Product: These lidar data are processed Classified LAS 1.4 files, formatted to individual 1000 m x 1000 m tiles covering approximately 14,287 square miles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Geographic Extent: MS_MissipppiDelta_A1 (Work Unit 78031) - 20 counties covering approximately 4251 total square miles.

MS_MissipppiDelta_A2 (Wo...

description: There are three tasks associated with this delivery order: Task 1: Elevations of the Low Steel for bridge superstructures on the following rivers: St. Croix between river miles 0 - 24 (05 bridges) Mississippi between river miles 634 - 858 (39 bridges) Minnesota between river miles 1 - 15 (05 bridges) Black between river miles 1 - 2 (01 bridges) Total =50 Task 2: Elevations of the Lowest Sag Point of Overhead cables and extents/locations of supporting pylons on the following rivers: St. Croix between river miles 8 - 22 (04 O/H Cables) Mississippi between river miles 678 - 858 (26 O/H Cables) Minnesota between river miles 0 - 15 (09 O/H Cables) Black between river miles 0 - 1 (01 O/H Cables) Total = 40 Task 3: Collection of Navigation features and RAW Point Cloud of specified Lock and Dams on the following river: Mississippi between river miles 615 - 854 (13 Lock & Dams) The navigation features to be collected are Lock Guidewall, Lock Chamber and Lock Gates. Additionally, the RAW point cloud shall be collected for all accessible areas of the specified Lock and Dams. The total number of structures is 103. See attachment A for a detailed list of structures.; abstract: There are three tasks associated with this delivery order: Task 1: Elevations of the Low Steel for bridge superstructures on the following rivers: St. Croix between river miles 0 - 24 (05 bridges) Mississippi between river miles 634 - 858 (39 bridges) Minnesota between river miles 1 - 15 (05 bridges) Black between river miles 1 - 2 (01 bridges) Total =50 Task 2: Elevations of the Lowest Sag Point of Overhead cables and extents/locations of supporting pylons on the following rivers: St. Croix between river miles 8 - 22 (04 O/H Cables) Mississippi between river miles 678 - 858 (26 O/H Cables) Minnesota between river miles 0 - 15 (09 O/H Cables) Black between river miles 0 - 1 (01 O/H Cables) Total = 40 Task 3: Collection of Navigation features and RAW Point Cloud of specified Lock and Dams on the following river: Mississippi between river miles 615 - 854 (13 Lock & Dams) The navigation features to be collected are Lock Guidewall, Lock Chamber and Lock Gates. Additionally, the RAW point cloud shall be collected for all accessible areas of the specified Lock and Dams. The total number of structures is 103. See attachment A for a detailed list of structures.

This dataset is the bathymetry Digital Elevation Model for the northern Gulf of Mexico coast including most or portions of the southeastern parishes of Louisiana, the coastal counties of Mississippi and Alabama, and the western counties of the Florida panhandle. The dataset includes offshore data extending, in some places, to a distance of ~200 km from the coast.NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions in the Gulf of Mexico. These integrated bathymetric-topographic DEMs were developed for NOAA Coastal Survey Development Laboratory (CSDL) through the American Recovery and Reinvestment Act (ARRA) of 2009 to evaluate the utility of the Vertical Datum Transformation tool (VDatum), developed jointly by NOAA's Office of Coast Survey (OCS), National Geodetic Survey (NGS), and Center for Operational Oceanographic Products and Services (CO-OPS).Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. Coastal Services Center (CSC), the U.S. Office of Coast Survey (OCS), the U.S. Army Corps of Engineers (USACE), and other federal, state, and local government agencies, academic institutions, and private companies.DEMs are referenced to the vertical tidal datum of North American Vertical Datum of 1988 (MHW), Mean High Water (MHW) or Mean Lower Low Water (MLLW) and horizontal datum of North American Datum of 1983 (NAD 83). Cell size ranges from 1/3 arc-second (~10 meters) to 1 arc-second (~30 meters). The NOAA VDatum DEM Project was funded by the American Recovery and Reinvestment Act (ARRA) of 2009 (http://www.recovery.gov/).The horizontal accuracy of bathymetric and topographic features in the DEM is dependent upon the accuracy of the input datasets used to determine corresponding cell values. Topography: 10 meters due to cell size. Lidar: less than 5 meters. DEM cell-value relative-contribution factors: Louisiana Lidar, Mississippi Lidar, CSC Lidar: 100, Mississippi Merged Lidar: 80, Digitzed features: 1, Bathymetry: 5 to several tens of meters. Positional accuracy of input bathymetric datasets limits accuracy of corresponding cell values in DEM. CSC Lidar: 0.75 meters. Early 20th-century NOS hydrographic soundings are limited by sparseness of deep-water soundings, and potentially large position accuracy of pre-satellite (i.e., GPS) navigation: tens to several tens of meters. Morphologic change in inland rivers and along the coast also degrades the positional accuracy of DEM features. DEM cell-value relative-contribution factors: CSC Coastal Lidar: 100, USACE hydrographic survey data: 5, NOS hydrographic soundings: 5, Digitized features: 1.The vertical accuracy of bathymetric and topographic features in the DEM is dependent upon the accuracy of the input datasets used to determine corresponding cell values. Topography: 1 to 16 meters. Vertical accuracy of input topographic datasets limits accuracy of corresponding cells in DEM. Lidar: less than 1 meter. DEM cell relative-contribution factors: Louisiana Lidar, Mississippi Lidar, CSC Lidar: 100, Digitized features: 10. Bathymetry: 0.1 meters to 5% of water depth. Vertical accuracy of input bathymetric datasets limits accuracy of corresponding cells in DEM. Early 20th-century NOS hydrographic soundings are limited by sparseness of deep-water soundings, and potentially large position accuracy of pre-satellite (i.e., GPS) navigation: several meters. DEM cell relative-contribution factors: CSC Coastal Lidar: 100, USACE hydrographic survey data: 5, NOS hydrographic soundings: 5, Digitized features: 1. Gridding interpolation to determine cell values between sparse NOS hydrographic soundings in deep water degrades the vertical accuracy of deep-water elevations.

Pre- and post-hurricane Katrina LiDAR datasets of Hancock, Harrison, and Jackson Counties, MS, were merged into a seamless coverage by URS. The pre-Katrina LiDAR data was collected by EarthData International at a 5-meter posting density during the period of February 25 to March 30, 2005. Woolpert and USACE collected the post-Katina LiDAR data. Woolpert acquired 1-meter posting density data of Coastal Mississippi between the dates of September 19 and October 9, 2005. USACE collected 1-meter posting density LiDAR of the Mississippi barrier islands over the same time period. Each dataset was clipped at the approximate location of the debris line. Data south of the debris line was removed from the Mississippi LiDAR dataset. Data north of the debris line was removed from the post-Katrina LiDAR dataset. The post-Katrina LIDAR dataset was then imported into the seamless Mississippi LiDAR dataset creating a merged seamless coverage.

A topographic lidar survey was conducted from September 5 to October 11, 2012, for the barrier islands of Alabama, Mississippi and southeast Louisiana, including the coast near Port Fourchon. Most of the data were collected September 5-10, 2012, with a reflight conducted on October 11, 2012, to increase point density in some areas. The data were collected at a nominal pulse space of 1-meter (m) and processed to identify bare earth elevations. Bare earth Digital Elevation Models(DEMs) were generated based on these data. Aero-Metric, Inc., was contracted by the U.S. Geological Survey (USGS) to collect and process the lidar data. The bare earth DEMs are 32-bit floating point ERDAS Imagine (IMG) files with a horizontal spatial resolution of 1-m by 1-m. They are projected to UTM zone 15N or 16N NAD83 meters. Their vertical datum is NAVD88 (GEOID12) meters. The DEMs are organized on a 2-kilometer (km) by 2-km tiling scheme that covers the entire survey area. These lidar data are available to Federal, State and local governments, emergency-response officials, resource managers, and the general public.

This set contains last return LiDAR DATA ( all shot ) orthometric & ellipsoidal elevations, last return LiDAR DATA ( bare earth ) orthometric elevations, first return LiDAR DATA ( digital surface model ) orthometric elevations as well as ARC ID, breakline and 10' contour shape files. Data set also includes color 2' pixel digital ortho tiles and a overall MrSid image of the Mississippi River project.

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 2018 United States Army Corps of Engineers (USACE) Mississippi and Alabama 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.

A half-meter (0.5m) cell size Digital Elevation Model (DEM) raster was created from the ground classified lidar points plus the breaklines. The files are delivered in tile format (1000m by 1000m), the rasters are delivered in 32-bit floating point GeoTIFF format (.tif) and adhere to USGS-NGP Lidar Base Specification 2021, rev. A.

GEO Project Lidar Viewercreated by Kate Grala, Dr. Cartwright, John, and John VanderZwaag

This metadata record describes the topographic mapping of Harrison County, Mississippi in March of 2004. Products generated include lidar point clouds in .LAS format and lidar bare-earth elevation models in .LAS format using lidar collected with a Leica ALS-40 Aerial Lidar Sensor.

Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email:...

description: This Data Series Report contains lidar elevation data collected September 5 to October 11, 2012, for the barrier islands of Alabama, Mississippi and southeast Louisiana, including the coast near Port Fourchon. Most of the data were collected September 5-10, 2012, with a reflight conducted on October 11, 2012, to increase point density in some areas. Lidar data exchange format (LAS) 1.2 formatted point data files were generated based on these data. The point cloud data were processed to extract bare earth data; therefore, the point cloud data are organized into only four classes: 1-unclassified, 2-ground, 7-noise and 9-water. Aero-Metric, Inc., was contracted by the U.S. Geological Survey (USGS) to collect and process these data. The lidar data were collected at a nominal pulse spacing (NPS) of 1.0 meter (m). The horizontal projection and datum of the data are Universe Transverse Mercator, zones 15N and 16N, North American Datum 1983 (UTM Zone 15N or 16N NAD83), meters. The vertical datum is North American Vertical Datum 1988, Geoid 2012 (NAVD88, GEOID12), meters. These lidar data are available to Federal, State and local governments, emergency-response officials, resource managers, and the general public.; abstract: This Data Series Report contains lidar elevation data collected September 5 to October 11, 2012, for the barrier islands of Alabama, Mississippi and southeast Louisiana, including the coast near Port Fourchon. Most of the data were collected September 5-10, 2012, with a reflight conducted on October 11, 2012, to increase point density in some areas. Lidar data exchange format (LAS) 1.2 formatted point data files were generated based on these data. The point cloud data were processed to extract bare earth data; therefore, the point cloud data are organized into only four classes: 1-unclassified, 2-ground, 7-noise and 9-water. Aero-Metric, Inc., was contracted by the U.S. Geological Survey (USGS) to collect and process these data. The lidar data were collected at a nominal pulse spacing (NPS) of 1.0 meter (m). The horizontal projection and datum of the data are Universe Transverse Mercator, zones 15N and 16N, North American Datum 1983 (UTM Zone 15N or 16N NAD83), meters. The vertical datum is North American Vertical Datum 1988, Geoid 2012 (NAVD88, GEOID12), meters. These lidar data are available to Federal, State and local governments, emergency-response officials, resource managers, and the general public.

Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.

These elevation data (in meters) in the lower Pascagoula River region in Mississippi have been systematically and variably lowered, mitigating the bias in the lidar DEM and improving its spot elevation accuracy by approximately 90.9%. These data span the eastern area of Jackson County, MS (surrounding Pascagoula, MS), and a small area along the Jackson County, MS-Alabama border. The data are in GIS raster format. These adjusted data are now suitable for modeling salt marsh evolution and flood inundation under sea-level rise (SLR) scenarios. Lidar data used in this adjustment were collected in 2014. Real Time Kinematic Global Navigation Satellite System (RTK-GNSS) field surveys were conducted in March 2019.

description: LiDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser rangefinding, 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.; abstract: LiDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser rangefinding, 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.

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 Mississippi 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 Hancock, Harrison, and Jackson Counties. The DEM was produced from the following lidar data sets: 1. 2015 MDEQ Coastal Mississippi Lidar/DEMs 2. 2015 MDEQ Mississippi Gulf Islands Lidar/DEMs 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.

Abstract: Elevation maps (also known as Digital Elevation Models or DEMs) of Gulf Islands National Seashore were produced from remotely-sensed, geographically-referenced elevation measurements in cooperation with NASA and NPS. Point data in ascii text files were interpolated in a GIS to create a grid or digital elevation model (DEM) of each beach surface. Elevation measurements were collected in Florida, Mississippi and Texas, over Gulf Islands National Seashore, using the NASA Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation 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 beach at approximately 60 meters per second while surveying from the low-water line to the landward base of the sand dunes. The EAARL, developed by the National Aeronautics and Space Administration (NASA) located at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of 15 centimeters. A sampling rate of 3 kHz or higher results in an extremely dense spatial elevation data set. Over 100 kilometers of coastline can be easily surveyed within a 3- to 4-hour mission time period. The ability to sample large areas rapidly and accurately is especially useful in morphologically dynamic areas such as barrier beaches. Quick assessment of topographic change can be made following storms comparing measurements against baseline data. When subsequent elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding coastal 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 .

The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental assessments such as vegetation distribution patterns. The bathymetry "footprint" is a database that can be used as a tool to provide a quick search of collection dates corresponding to bathymetric coverages within each LTRM pool.