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Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Map Service (8) OGC WFS Layer (8) OGC WMS Service (8) Contacts Lower Mississippi-Gulf Water Science Center U.S. Geological Survey U.S. Geological Survey - ScienceBase Daniel M Wagner Kelly M Sanks More... Tag Types Theme (8) Place (8) USGS Scientific Topic Keyword (3) Harvest Set (3) Tag Schemes None (6) Common geographic areas (6) USGS Thesaurus (7) ISO 19115 Topic Category (6) Data Categories for Marine Planning (6) Geographic Names Information System (GNIS) (1) View Results as: JSON ATOM CSV

XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (LiDAR) data representing beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The point data is the same as that in LAS (industry-standard binary format for storing large point clouds) files that were used to create a digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, DEM, Duluth, Great Lakes, Hydroacoustic, All tags... LAS, Lake Superior, LiDAR, Southwestern Lake Superior, Superior, XYZ, bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, sonar, Fewer tags Digital elevation model (DEM) of beach topography of Lake Superior at Minnesota Point, Duluth, MN, August 2019 This dataset is a digital elevation model (DEM) of the beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1-meter (m; 3.28084 foot [ft]) cell size and was created from a LAS (industry-standard binary format for storing large point clouds) dataset of terrestrial light detection and ranging (LiDAR) data with an average point spacing of 0.137 m (0.45 ft). LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). References: Huizinga, R.J. and Wagner, D.M., 2019, Erosion monitoring along selected bank locations of the Coosa River in Alabama using terrestrial light detection and ranging... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, DEM, Duluth, Great Lakes, LAS, All tags... Lake Superior, LiDAR, Southwestern Lake Superior, Superior, XYZ, digital elevation models, elevation, inlandWaters, lidar, Fewer tags Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, August 2019 This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 10-meter (m; 32.8084 feet) cell size and was created from a LAS (industry-standard binary format for storing large point clouds) dataset of terrestrial light detection and ranging (LiDAR) data representing the beach topography and sonar data representing the bathymetry to approximately 1.3 kilometers (0.8 miles) offshore. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 m; multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, DEM, Duluth, Geomorphology, Great Lakes, All tags... Hydroacoustic, LAS, Lake Superior, LiDAR, Sedimentology, Southwestern Lake Superior, Superior, USGS Science Data Catalog (SDC), Water Resources, XYZ, bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, sonar, Fewer tags LAS dataset of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 This dataset is a LAS (industry-standard binary format for storing large 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, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 meters (m); multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. The LAS dataset was used to create a 10-m (32.8084 feet) digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area using the "LAS dataset to raster" tool in Esri ArcGIS, version 10.7. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, DEM, Duluth, Great Lakes, Hydroacoustic, All tags... LAS, Lake Superior, LiDAR, Southwestern Lake Superior, Superior, XYZ, bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, sonar, Fewer tags LAS dataset of LiDAR data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data representing beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LiDAR points in the dataset is 0.137 meters (m; 0.45 feet [ft]). The LAS dataset was used to create a 1-m (3.28084 ft) digital elevation model (DEM) of the approximately 4 kilometer (2.5 mile) surveyed reach of the beach. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). References: Huizinga, R.J. and Wagner, D.M., 2019, Erosion monitoring along selected... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, DEM, Duluth, Great Lakes, LAS, All tags... Lake Superior, LiDAR, Southwestern Lake Superior, Superior, XYZ, digital elevation models, elevation, inlandWaters, lidar, Fewer tags Extreme gradient boosting machine learning models, suspended sediment, bedload, streamflow, and geospatial data, Minnesota, 2007-2019 A series of machine learning (ML) models were developed for Minnesota. The ML models were trained and tested using suspended sediment, bedload, streamflow, and geospatial data to predicted suspended sediment and bedload. Suspended sediment, bedload, and streamflow data were collected during water years 2007 through 2019. The ML models were used to improve understanding of sediment transport processes and increase accuracy of estimating sediment and loads for streams and rivers across Minnesota. The contents of this data release include README files, input files, output files, and source code (R software version 3.6.1) needed to reproduce the ML models and results in the associated article in Hydrological Processes... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Geomorphology, Hydrology, Minnesota, Sedimentology, USGS Science Data Catalog (SDC), All tags... Water Quality, Water Resources, bedload, sediment transport, suspended material (water), Fewer tags Rainy Lake and Namakan Reservoir shallow water bathymetric data, water surface elevations, and recovered high-water marks, 2022 Bathymetric data were collected with a single-beam echosounder in 2022 for 18 selected shallow (0-3 meters) areas to improve a digital elevation model (DEM) for Rainy Lake and Namakan Reservoir created by Environment and Climate Change Canada. Bathymetric data were collected in transects spaced approximately 20 meters apart. In addition to the bathymetric data, the locations and elevations of observed water surface and recovered high-water marks are being provided at select locations because of the high water observed during bathymetric data collection after a spring flood in 2022. Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry, Canada, GPS measurement, Limnology, Minnesota, All tags... Namakan Lake, Namakan Reservoir, Rainy Lake, USGS Science Data Catalog (SDC), United States, Voyageurs National Park, Water Resources, bathymetry measurement, inlandWaters, single-beam echo sounder, Fewer tags Elevation contours of beach topography and nearshore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, from hydrographic survey August 2019 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 10-meter (32.8084 ft) cell size and was created from LiDAR data representing beach topography and sonar data representing bathymetry to a distance of approximately 1.3 kilometers (0.8 miles) offshore. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected August 7-11, 2019 using an R2Sonic 2024 sonar unit and methodology similar to that described... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, DEM, Duluth, Great Lakes, Hydroacoustic, All tags... LAS, Lake Superior, LiDAR, Southwestern Lake Superior, Superior, XYZ, bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, sonar, Fewer tags