The surveyed area covers 28.5 square kilometers of the Black Hills Experimental Forest, South Dakota. These LAS and associated files were collected by Horizon's Inc. of Rapid City, SD and processed by the USDA Forest Service in Moscow, ID. The purpose of the data collection is to use Lidar in support of natural resource research and management applications.

LiDAR elevation data that can be downloaded by selections of tiles using individual, box graphic, polygon graphic, or by GIS polygon features.

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U.S. Geological Survey (USGS) scientists conducted field data collection efforts during the time periods of April 25 - 26, 2017, October 24 - 28, 2017, and July 25 - 26, 2018, using a combination of surveying technologies to map and validate topography, structures, and other features at five sites in central South Dakota. The five sites included the Chamberlain Explorers Athletic Complex and the Chamberlain High School in Chamberlain, SD, Hanson Lake State Public Shooting Area near Corsica, SD, the State Capital Grounds in Pierre, SD, and Platte Creek State Recreation Area near Platte, SD. The work was initiated as an effort to evaluate airborne Geiger-Mode and Single Photon light detection and ranging (lidar) data that were collected over parts of central South Dakota. Both Single Photon and Geiger-Mode lidar offer the promise of being able to map areas at high altitudes, thus requiring less time than traditional airborne lidar collections, while acquiring higher point densiti ...

The collection of LiDAR data for the James River basin began in 2010. The detailed surface elevation data will be used for conservation planning, design, research, delivery, floodplain mapping and hydrologic modeling utilizing LiDAR technology. The project area includes part of the James River watershed and adjacent areas in North and South Dakota. The project encompasses 16,825 sq miles and the 2010 phase of the project acquired 8,060 sq miles of LiDAR data and subsequent terrain data. This project represents the second phase with an objective to collect the remaining 8,765 square miles of the project area.

The lidar survey was conducted by vendor Horizon's, 3600 Jet Drive, Rapid City, South Dakota. Lidar instrument was flown in a Leica ALS40 on July 23, August 11 or September 22, 2003. The data were delivered in ascii format with information on return number, easting, northing, elevation and intensity for each return. The ascii files were converted to las format and classified using the Multiscale Curvature Classification (MCC) method of Evans and Hudak (2007). This project is the data acquisition phase of an administrative study being done by Rocky Mountain Research Station - Forest Sciences Lab, Moscow, ID. The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The St. Joe National Forest area consists of one contiguous block totaling ~ 55684 hectares in north central Idaho, between Deary and Clarkia. The project area consists of moderately variable topographic configurations with diverse vegetation components.

This is collection level metadata for LAS files collected by USDA - Forest Service as a part of a larger project to use Lidar for forestry application. The lidar survey was conducted by vendor Horizon's, 3600 Jet Drive, South Dakota. Lidar instrument was flown with Leica ALS40 over the period of Aug, 13-14, 2003. The data were delivered in ASCII format with information on return number, easting, northing, elevation and intensity for each return. The ascii files were converted to las format and classified using the Multiscale Curvature Classification (MCC) method of Evans and Hudak (2007). The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The project area consists of one contiguous blocks totaling 32708 hectares in Moscow Mountain, Moscow, north central Idaho. The project area consists of moderately variable topographic configurations with diverse vegetation components.

The Minnesota Department of Natural Resources contracted with Sanborn Map Co., Inc. to provide Light Detection and Ranging (LiDAR) mapping services for the South Dakota portion of the Minnesota River Basin. Utilizing multi-return systems, LiDAR data in the form of 3-dimensional positions of a dense set of mass points was collected for approximately 1,946 square miles.

The vendor delivered the data to the DNR in several formats:

1) One-meter digital elevation model
2) Edge-of-water breaklines
3) Classified LAS formatted point cloud data

DNR staff created three additional products: two-foot contours, building outlines and hillshades.

The data are in UTM Zone 14 coordinates.

Note: This metadata record was created at the Minnesota Geospatial Information Office by combining information supplied by Sanborn and the DNR.

This dataset contains a bare earth digital elevation model (DEM), with a 0.5-square-meter (m2) cell size, of the Cottonwood Lake Study Area, Stutsman County, North Dakota. The DEM was based primarily on airborne lidar data acquired by Fugro Horizons of Rapid City, South Dakota, and made into a DEM by USGS personnel using the ArcGIS extension LP360 (QCoherent Software, 2013). Wetland bathymetry for select wetlands was interpolated by splining from shoreline LiDAR points and field measured GPS points within the wetland. Through these steps, a continuous elevation model representing both the surrounding uplands and wetland basins was produced for the site (Mushet and Scherff 2017).

The Bismarck lidar project area covers approximately 395 square miles which includes a 100 meter buffer around the county boundary. The lidar data was acquired at a nominal point spacing (NPS) of 0.7 meters and a single swath nominal point density (NPD) of 2.0. Project specifications are based on Bismarck requirements and on the U.S. Geological Survey National Geospatial Program LiDAR Base Specification, Version 2.1. The data was developed based on a horizontal projection/datum of NAD83(HARN) / North Dakota South (Feet Intl), and vertical datum of NAVD88 - Geoid12A (Feet). LiDAR data was acquired using a Leica ALS 80 sensor with serial number 8239 from April 15, 2020 to April 17, 2020 in 4 total lifts. Acquisition occurred with leaves absent from deciduous trees, when no snow was present on the ground, and with rivers at or below normal levels.

The project established topographic mapping to 1-foot interval contours using LiDAR (Light Detection and Ranging) for the Bismarck-Mandan Metropolitan Planning Organization (MPO). The MPO is comprised of the City of Bismarck, City of Mandan, City of Lincoln, and portions of Burleigh and Morton Counties in North Dakota. The LiDAR data was collected on 20160326 through 20130328 using the Orion Optech H300 sensor. Nominal point spacing for the raw (unprocessed) LiDAR point cloud is approximately 0.7-meter, resulting in a nominal point density of 2 points per square meter. Aerial LiDAR survey data acquisition was conducted with the ground is free of snow, and with the atmospheric conditions between the aircraft and the ground free of clouds and fog. Aerial LiDAR survey data acquisition is flown with an average of 30% overlap between swaths.

The project established topographic mapping to 2-foot interval contours using LiDAR (Light Detection and Ranging) for the Bismarck-Mandan Metropolitan Planning Organization (MPO). The MPO is comprised of the City of Bismarck, City of Mandan, City of Lincoln, and portions of Burleigh and Morton Counties in North Dakota. The LiDAR data was collected on 03 May 2009 using the Optech Gemini ALTM sensor.

A High-Resolution Hydrographic Mapping effort was completed for thirteen 12-digit hydrologic units in the Big Sioux River Basin near Sioux Falls in southeastern South Dakota. A digital elevation model based on light detection and ranging (lidar) data was prepared from four sources. Known culverts were hydro-enforced into the elevation model, and selective drainage techniques were utilized within geographic information systems software to identify additional locations where bridges or culverts needed to be hydro-enforced. These potential locations were given a preliminary screening using aerial imagery, and likely locations were further screened using high-resolution oblique aerial imagery or with site visits. Locations with confirmed culverts were also hydro-enforced. The raw and hydro-enforced elevation models were used to generate flow derivative layers. The elevation models, flow derivative layers, and culvert layer are included as geospatial data layers within this data release. This study was completed by the U.S. Geological Survey, Dakota Water Science Center in cooperation with the City of Sioux Falls, the City of Harrisburg, Lincoln County, the South Dakota Department of Transportation, East Dakota Water Development District, and the Mid-America GIS Consortium.

This LiDAR-derived 1-foot contour data is the result of private and government entities working together under the guidance of the City of Wahpeton, ND.

Fugro Earthdata, Inc. acquired LiDAR data with Fugro's proprietary LiDAR sensor for of Wahpeton, ND project area March 30,2012. The project encompassed an area of approximately 7.6 square miles.

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Lidar Data Products for the Minot, ND collection area. ESRI Multipoints and Terrain created from Bare Earth lidar points, Boundary, Hydrolines and Waterbody Breaklines, 5ft DEM, 5ft DEM Hillshade, and 1ft Contour tiles. Horizontal datum is NAD83; vertical datum is NGVD29

This LiDAR-derived 1-foot contour data is the result of private and government entities working together under the guidance of the City of Wahpeton, ND.Fugro Earthdata, Inc. acquired LiDAR data with Fugro's proprietary LiDAR sensor for of Wahpeton, ND project area March 30,2012. The project encompassed an area of approximately 7.6 square miles.

Landslide areas in North Dakota are depicted on this map as mapped from historical aerial photographs, recent digital aerial imagery, and LiDAR digital elevation models, over a six-year period from 2016 to early 2023. These landslide areas were mapped at variable scales generally at 1:12,000 or less and presented at 1:24,000 scale in 1,476 individual quadrangles that cover the state. A total of 59,505 landslide areas were identified based dominantly on their surficial geomorphological expression and represent landslide areas identified up to the last date of LiDAR data collection available.Historical aerial photography used in the initial identification of landslide areas consisted of 1:20,000 paper aerial photographs from the U.S. Department of Agriculture’s aerial photography programs spanning the years from 1952 to 1965. Recent aerial imagery from the National Agricultural Imagery Program (NAIP) ranging mostly from 1997 to 2022 was also reviewed when available either in the desktop mapping environment or within the Google Earth platform.Surface elevation models created from recently acquired LiDAR data was used intensively to update previous inventory mapping work where only aerial photos were used. A LiDAR surface model was created for each of the 1,464 1:24,000 scale quadrangles which served as the basemap for final inventory mapping.Landslides in North Dakota fall into three broad categories based on their geologic environments. The highest density and number of landslides occurs throughout the rugged badlands topography in western and southwestern North Dakota. These landslides are most commonly large rotational slumps with well-defined head scarps and toes. Glacial meltwater valleys and current hydrologic corridors also contain a high number of landslides. These landslides are generally large, ancient landslides, constrained to the glacial meltwater valleys where they are mapped. The third group of landslides are riverbank slumps resultant from the continued fluctuation of river levels from seasonal flooding along active river systems across the state. The remaining landslide areas are typically smaller, more variable in type, and are locally influenced by their unique geologic setting or recently modified anthropogenic setting.Landslides in North Dakota are thought to range in age from the Quaternary to recent and contemporary landslide areas continued to be identified as mapping progresses from inventory mapping into the temporal analysis and interpretation of comparative LiDAR data sets. The areas shown on this map represent the first comprehensive landslide mapping inventory completed for the state of North Dakota.

Fugro Horizons Inc. acquired highly accurate Light Detection and Ranging (LiDAR) elevation data for the Twin Cities metropolitan region in east-central Minnesota in Spring and Fall 2011, with some reflights in Spring 2012. The data cover Anoka, Benton, Carver, Dakota, Goodhue, Hennepin, Isanti, Kanabec, Meeker, Mille Lacs, Morrison, Ramsey, Scott, Sherburne and Washington counties. Most of the data was collected at 1.5 points/square meter. Smaller areas were collected with 2 points/square meter and with 8 points/square meter: 1. 1.5 points/square meter covers Morrison, Mille Lacs, Benton, Isanti, Sherburne, Anoka, Meeker, Hennepin, Washington, Carver, Scott, and Goodhue counties. 2. 2 points/square meter covers the Dakota Block (southern 2/3 of Dakota County) 3. 8 points/square meter covers portions of Minneapolis/St. Paul and the City of Maple Grove See map of block boundaries: ftp://lidar.dnr.state.mn.us/documentation/status/metro_data_delivery_dates.pdf Data are in the UTM Zone 15 coordinate system, NAD83 NAVD88 Geoid09 meters. The tiling scheme is 16th USGS 1:24,000 quadrangle tiles. The vendor delivered the data to the Minnesota Department of Natural Resources (DNR) in several formats: 1. One-meter digital elevation model 2. Edge-of-water breaklines 3. Classified LAS formatted point cloud data DNR staff quality-checked the data and created two additional products: two-foot contours and building outlines. Note: This metadata record was created at the Minnesota Geospatial Information Office using information supplied by the vendor and by DNR. Dakota County staff have clipped by buffer around this community and also provided additional datasets beyond the named 1-Foot Contours; 1 and 3-meter DEMs and 1 and 3-meter Hillshades.

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 ...