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...

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.

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...

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.

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 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.

This data set comprises an ArcInfo floating point GRID file with elevations in feet. Breakline data was converted to a polygon layer and used to mask water areas from the data. Airborne Laser Terrain Mapping Survey utilizing dual-frequency airborne GPS control and conventional control were conducted in Mississippi River - Lower Pool 4 and Pool 5 LiDAR Survey. The horizontal datum shall be NAD83, and the vertical datum shall be NAVD 88. Contract number DACW43-03-D-0504 refers to enclosures, and specific requirements for this project.

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...

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.

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 vertic ...

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.

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.

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 2006 USGS Mississippi and Alabama Experimental Advanced Airborne Research Lidar (EAARL) 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.

description: Mississippi Coastal QL2 Lidar with 3DEP Extension Lidar 0.7m NPS Lidar Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G15PD00091 Woolpert Order No. 75157 CONTRACTOR: Woolpert, Inc. This metadata record describes the 1m bare earth Digital Elevation Models (DEMs)for the following counties in Mississippi: Copiah, Lawrence, Lincoln, Pike, and Simpson. This task is for a high resolution data set of lidar covering approximately 5981 square miles. The lidar data was acquired and processed in compliance to U.S. Geological Survey National Geospatial Program Lidar Base Specification version 1.2. The lidar data was 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, one (1) meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and 8-bit intensity images. Gridded products conform to a 1500 m x 1500 m tiling scheme. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, control data, flight line vectors and tile index provided as ESRI shapefile, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, and LAS swath data. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. In addition to the bare earth DEMs, the topobathy lidar point data are also available. These data are available for custom download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6306 Breaklines created from the lidar area also available for download in both gdb and gpkg format at: https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/6306/breaklines. The DEM and breakline products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA, OCM or its partners.; abstract: Mississippi Coastal QL2 Lidar with 3DEP Extension Lidar 0.7m NPS Lidar Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G15PD00091 Woolpert Order No. 75157 CONTRACTOR: Woolpert, Inc. This metadata record describes the 1m bare earth Digital Elevation Models (DEMs)for the following counties in Mississippi: Copiah, Lawrence, Lincoln, Pike, and Simpson. This task is for a high resolution data set of lidar covering approximately 5981 square miles. The lidar data was acquired and processed in compliance to U.S. Geological Survey National Geospatial Program Lidar Base Specification version 1.2. The lidar data was 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, one (1) meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and 8-bit intensity images. Gridded products conform to a 1500 m x 1500 m tiling scheme. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, control data, flight line vectors and tile index provided as ESRI shapefile, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, and LAS swath data. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. In addition to the bare earth DEMs, the topobathy lidar point data are also available. These data are available for custom download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6306 Breaklines created from the lidar area also available for download in both gdb and gpkg format at: https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/6306/breaklines. The DEM and breakline products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA, OCM or its partners.

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.

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:...

This lidar data was collected primarily for flood plain mapping within Pearl River County, MS. The data were processed into separate Bare Earth and First Surface products. The two were subsequently classified (bare earth and unclassified) and merged to create one data set. The data were collected from 1-8 Feb 2003. One flight was reflown on 30 March 2003.

NCALM Project. PI: Praveen Kumar, University of Illinois. The survey area consisted of a polygon located near the confluence of Ohio and Mississippi rivers, about 35 km east of Sikeston in the southeastern edge of the state of Missouri. These data were collected as a rapid response to a flooding event on the Mississippi River. The data were collected June 21-23, 2011.

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

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over the area using the National Aeronautics and Space Administration (NASA) 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 NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of 3 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.