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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.
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This dataset is a LAS (industry-standard binary format for storing lidar point clouds) dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: lidar, 0.094 meters (m); multibeam sonar, 0.501 m; single-beam sonar, 1.876 m. The LAS dataset was used to create digital elevation models (DEMs) of 10 m (32.8084 feet) and 1 m (3.28084 feet) resolution, of the approximate 1.75 square kilometer surveyed area. Lidar data were collected August 22, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar...
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The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Pelican Island and Pass La Mer to Chaland Pass Resoration (BA-38) project for 2013. This data is used as a basemap habitat classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land...
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This dataset is a LAS (industry-standard binary format for storing lidar point clouds) dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore bathymetry of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: lidar, 0.055 meters (m); multibeam sonar, 0.511 m; single-beam sonar, 1.687 m. The LAS dataset was used to create digital elevation models (DEMs) of 10 m (32.8084 feet) and 1 m (3.28084 feet) cell size, of the approximate 1.78 square kilometer surveyed area. Lidar data were collected November 01, 2022 using a boat mounted Velodyne VLP-16 unit and methodology...
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The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed persuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Atchafalaya Sediment Delivery (AT-02) project for 2016. This data set is used as a basemap for habitat classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their...
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The elevation contours in this dataset have a 2-foot (ft) interval and were derived from a digital elevation model (DEM) of beach topography and nearshore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1 meter (m; 3.28084 ft) cell size and was created from Lidar data representing beach topography and sonar data representing bathymetry extending approximately 700-800 m offshore. The data cover an approximately 1.75 square kilometer survey area. Lidar data were collected November 01, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected October 31-November 01, 2022 using a Norbit...
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The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Pelican Island and Pass La Mer to Chaland Pass Resoration (BA-38) project for 2007. This data is used as a basemap habitat classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land...
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Topography provides information about the structural controls of the Great Basin and therefore information that may be used to identify favorable structural settings for geothermal systems. Specifically, local relative topography gives information about locations of faults and fault intersections relative to mountains, valleys, or at the transitions between. As part of U.S. Geological Survey efforts to engineer features that are useful for predicting geothermal resources, we construct a detrended elevation map that emphasizes local relative topography and highlights features that geologists use for identifying geothermal systems (i.e., providing machine learning algorithms with features that may improve predictive...
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The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Pelican Island and Pass La Mer to Chaland Pass Resoration (BA-38) project for 2011. This data is used as a basemap habitat classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land...
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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.
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The elevation contours in this dataset have a 2-foot (ft) interval and were derived from a digital elevation model (DEM) of beach topography and nearshore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1 meter (m; 3.28084 ft) cell size and was created from Lidar data representing beach topography and sonar data representing bathymetry extending approximately 700-800 m offshore. The data cover an approximately 1.75 square kilometer survey area. Lidar data were collected August 22, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected August 22-23, 2022 using a Norbit integrated wide...
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This dataset is a LAS (industry-standard binary format for storing lidar point clouds) dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, near the Superior entry, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: lidar, 0.086 meters (m); multibeam sonar, 0.512 m; single-beam sonar, 1.919 m. The LAS dataset was used to create digital elevation models (DEMs) of 10 m (32.8084 feet) and 1 m (3.28084 feet) resolution, of the approximate 2.15 square kilometer surveyed area. Lidar data were collected September 07, 2022 using a boat mounted Velodyne VLP-16 unit and methodology...
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The elevation contours in this dataset have a 2-foot (ft) interval and were derived from a digital elevation model (DEM) of beach topography and nearshore bathymetry of Lake Superior at Minnesota Point near the Superior Entry, Duluth, Minnesota. The DEM has a 1 meter (m; 3.28084 ft) cell size and was created from Lidar data representing beach topography and sonar data representing bathymetry extending approximately 800-1000 m offshore. The data cover an approximately 2.15 square kilometer surveyed area. Lidar data were collected September 07, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected September 06-07,...


    map background search result map search result map Illinois River, Peoria Pool, Spring Valley Quad, 0.5m Contours Illinois River, Brandon Pool 0.5m, Elwood Quad, Contours BA-38 Habitat: Chaland 2007 BA-38 Habitat: Pelican 2011 BA-38 Habitat: Pelican 2013 Atchafalaya sediment delivery (AT-02): 2016 habitat classification Great Salt Lake TBDEM Spatial Metadata LAS dataset of lidar, single-beam and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, August 2022 LAS dataset of lidar, single-beam, and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022 LAS dataset of lidar, single-beam, and multibeam data collected at Lake Superior at Minnesota Point near the Superior Entry of Lake Superior, Duluth, MN, September 2022 Elevation contours of beach topography and nearshore bathymetry of Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, August 2022 Elevation contours of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022 Elevation contours of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Superior Entry, Duluth, MN, September 2022 Maps of elevation trend and detrended elevation for the Great Basin, USA Illinois River, Brandon Pool 0.5m, Elwood Quad, Contours Elevation contours of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022 LAS dataset of lidar, single-beam, and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022 Elevation contours of beach topography and nearshore bathymetry of Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, August 2022 LAS dataset of lidar, single-beam and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, August 2022 BA-38 Habitat: Chaland 2007 Elevation contours of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Superior Entry, Duluth, MN, September 2022 LAS dataset of lidar, single-beam, and multibeam data collected at Lake Superior at Minnesota Point near the Superior Entry of Lake Superior, Duluth, MN, September 2022 BA-38 Habitat: Pelican 2011 BA-38 Habitat: Pelican 2013 Atchafalaya sediment delivery (AT-02): 2016 habitat classification Great Salt Lake TBDEM Spatial Metadata Maps of elevation trend and detrended elevation for the Great Basin, USA