Filters: Tags: Great Lakes (X) > partyWithName: U.S. Geological Survey (X) > Types: OGC WFS Layer (X)

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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 Hydrospatial Framework for the Laurentian Great Lakes This data release provides the georeferenced boundaries that delimit each spatial unit of the Great Lakes Regional Aquatic Gap Analysis Project (GLGap) Coastal Hydrospatial Framework at each spatial scale from the local 90m cell to the entire Laurentian Great Lakes system and from the shoreline to the deepest offshore waters. The U.S. Geological Survey and the U.S. Fish and Wildlife Service collaborated to design a universal framework of spatial areas that encompass all space of the Laurentian Great Lakes proper. Agglomeration of the finest units (90m cells) form coarser, broader scale units. Finer units are nested within the coarser units at six spatial scales, labeled as Local Cells, Aquatic Habitat Areas, Coastal... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Ecological Classification, Environmental assessment, Great Lakes, Habitat Characterization, Lakescape Framework, All tags... Lentic, NFHP Cooperator, Spatial Data, USGS Science Data Catalog (SDC), Visual, geospatial datasets, inlandWaters, 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 Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.: Degree Flowlines This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Upper Peninsula Restoration Assessment (UPRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. These data help identify the condition of hydrologic separation between potential restoration areas and Lake Ontario. Low numbers represent fewer disconnections, such as culverts, between the reach and the water body requiring no flow network modification... Types: GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Chippewa, Ecology, Great Lakes, Holocene, Hydrology, All tags... Lake Huron, Lake Michigan, Land Use Change, Mackinac, Michigan, USGS Science Data Catalog (SDC), Water Resources, environment, geoscientificInformation, habitat suitability indices, hydrology, inlandWaters, lake, lakeshore, natural resource management, remediation, resource management, river, stream, water quality, wetland, wetland ecosystems, wetland functions, wetland restoration, Fewer tags Pesticides, pharmaceuticals, and wastewater indicator compounds in water and bottom sediment samples collected from Great Lake tributaries, 2019 This dataset consists of select contaminants of emerging concern (CEC) including pesticides and transformation products, pharmaceuticals and transformation products, and wastewater indicator compound results measured in 131 surface water, 129 bottom sediment, 7 field replicate, and 6 field blank samples collected from 131 sites located on 27 tributaries of the Great Lakes during the summer of 2019. Samples were analyzed at the U.S. Geological Survey National Water Quality Laboratory (NWQL). Surface water samples were collected and analyzed for 238 pesticides, pesticide transformation products, and surrogate compounds (NWQL laboratory schedule 2437; Sandstrom and others, 2015), 152 pharmaceuticals, pharmaceutical... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Au Gres River, Buffalo River, Cattaraugus River, Chippewa River, East Twin River, All tags... Eighteenmile River, Elk River, Escanaba River, Galien River, Genesee, Grand River, Great Lakes, Huron River, Indiana, Johnson, Lake Erie, Lake Huron, Lake Michigan, Lake Ontario, Manistee River, Manistique River, Michigan, New York, Oak Orchard, Ohio, Ontonagon River, Pennsylvania, Pinnebog River, Root River, Saginang River, Saint Joseph River, Salt River, Seney Refuge River, Tonawanda River, USGS Science Data Catalog (SDC), Vermillion River, West Twin River, Whitefish, Wisconsin, contamination and pollution, dissolved contaminants, none, pesticide and herbicide contamination, pharmaceutical contamination, surface water quality, water quality, Fewer tags Nutrient and sediment concentrations, loads, yields, and rainfall characteristics at USGS surface and subsurface-tile edge-of-field agricultural monitoring sites in Great Lakes States (ver. 2.1, September 2023) This data release provides computed rainfall (rain total, duration, intensity, erosivity and antecedent rainfall) and flow (flow volume, flow-weighted mean concentrations, total loads, and total yields) metrics from monitored precipitation, discharge, and water quality (nutrients and sediment concentrations) data collected at U.S. Geological Survey edge-of-field (EOF) monitoring sites located in five Great Lakes States (Wisconsin, Michigan, Ohio, Indiana, and New York). EOF monitoring sites are installed at the edge of agricultural fields, either on the field surface or using subsurface tiles, where runoff can be intercepted and channeled through monitoring equipment before it enters the natural stream system. These... Categories: Data, Data Release - Revised; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Great Lakes, Indiana, Michigan, New York, Ohio, All tags... USGS Science Data Catalog (SDC), Wisconsin, agriculture, erosion, farming, field inventory and monitoring, nutrient content (water), precipitation (atmospheric), runoff, suspended material (water), water quality, Fewer tags Per- and polyfluoroalkyl substances (PFAS) and pharmaceutical compound data from passive and sediment samples from 62 Great Lakes tributary sites collected in 2018 This dataset includes per-and polyfluoroalkyl substances (PFAS) and pharmaceuticals monitored at 62 sampling sites in tributaries of the Laurentian Great Lakes. Chemicals were evaluated in a sediment sample (PFAS only) and water concentrations were estimated using polar organic chemical integrative samplers (POCIS). Sediment samples were collected from the 62 sites in June and July 2018, which were analyzed for 23 PFAS compounds using liquid chromatography tandem mass spectrometry (LC/MS/MS). Duplicate sediment samples were collected at 23 sites. Overall, 22 of the 23 sediment PFAS compounds analyzed were detected in samples from at least one site. Pharmaceuticals and PFAS samples were collected instream by deploying... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Great Lakes, Indiana, Lake Erie, Lake Huron, Lake Michigan, All tags... Lake Ontario, Lake Superior, Michigan, Minnesota, New York, Ohio, USGS Science Data Catalog (SDC), Water Quality, Wisconsin, contamination and pollution, dissolved contaminants, emerging contaminants, inlandWaters, legacy contaminants, passive samplers, per- and polyfluoroalkyl substances, pharmaceuticals, streambed sediment, surface water, surface water quality, water chemistry, Fewer tags Fluvial Erosion Hazard Geospatial Network from the Marengo River Watershed, Ashland County, Wisconsin An extreme flood in 2016 caused widespread culvert blockages and road failures across northern Wisconsin, including extensive damage along steep tributaries and ravines in the Marengo River watershed. Along with the flooding, there were fluvial erosion hazards (FEH) associated with a large amount of erosion in headwater areas. Of special concern were FEHs associated with gullying, loss of wetland storage, and valley-side mass wasting. In 2020, a pilot study was begun to map and classify ephemeral and perennial streams and wetlands in terms of their susceptibility to fluvial erosion hazards. This study combines rapid geomorphic field assessments of river corridor erosion and coupled sediment and debris delivery with... Categories: Data, Map; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Ashland, Bad-Montreal, Geomorphology, Great Lakes, North America, All tags... Sedimentology, Southwestern Lake Superior, USGS Science Data Catalog (SDC), United States, Wisconsin, erosion, geomorphology, geoscientificInformation, sediment transport, sedimentation, slope processes, Fewer tags Total phosphorus loads estimated from tributaries and direct drainages to the Great Lakes during 2012–2018 using the model load ratio approach and the unit area load approach In this data release, we provide the data used to compute total annual phosphorus loads from tributaries and direct drainages to the Great Lakes during 2012-18 using the model load ratio approach and the unit area load approach and the resulting annual loads for 2012–18. This data release consists of: (1) measured loads at 24 sites, computed using the surrogate regression approach (Robertson et al., 2018; Koltun, 2020) that were monitored as part of the Great Lakes Restoration Initiative project, (2) estimated annual loads at point source facilities throughout the Great Lakes Basin obtained from the U.S. Environmental Protection Agency and state agencies, (3) loads subdivided into nonpoint and point source contributions,... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Extrapolation, Freshwater ecosystems, Great Lakes, Great Lakes Basin, Loads, All tags... Nutrients, Phosphorus, Streams, USGS Science Data Catalog (SDC), Water Resources, Water quality, biota, 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 Low-altitude visible imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Indiana Surface Water 1 and 2 These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Allen County, Great Lakes, Indiana, USGS Science Data Catalog (SDC), Water Resources, All tags... agriculture, orthophotographs, unmanned aircraft systems, visible light imaging, Fewer tags Model of potential multiphase methane evolution in the subsurface of Southern Ontario across a wide range of initial gas contents Numerical modeling was performed to analyze the impacts of potential multiphase conditions on long-term subsurface pressure evolution in subsurface systems. An example site on the Bruce Peninsula in Southern Ontario, Canada was selected due to the large amount of available, high-quality data showing significantly underpressured water and the possible presence of gas phase methane. The system was represented by a 1-D model in which multiphase flow and hydromechanical coupling during the last glacial loading and unloading cycle were simulated. Single-phase flow simulations were performed with the USGS single-phase flow simulator SUTRA, and then both single- and multiphase simulations were performed with the multiphase... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Canada, Energy Resources, Great Lakes, Groundwater, Groundwater Model, All tags... Lake Huron, Multiphase Flow, Nuclear Waste Disposal, Ontario, TOUGH2, USGS Groundwater Model, USGS Science Data Catalog (SDC), USGS:5fa2ab1ad34e198cb7960970, boundaries, environment, geoscientificInformation, inlandWaters, 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 Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative These orthophotos and digital surface models (DSMs) were derived from low-altitude (approximately 92-m above ground surface) images collected from unmanned aerial system (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 1039919, 1560905, 1564367, 1572198, 431130, All tags... 629674, Allen County, Apple Creek, Black Creek, Brown County, Door County, Eagle Creek, East River, Genesee County, Great Lakes, Hancock County, Indiana, Kimball Drain, Michigan, Ohio, Renard Creek, Water Resources, Wisconsin, agriculture, Fewer tags Water Chemistry of Great Lakes Tributaries, 2017-2018 Chemical composition of fish bones can be used to trace fish migrations and other movements (e.g., use of tributaries for spawning). Chemical composition of water is required to be able to trace fish migrations or movements to particular rivers or streams. Because water chemistry can change over time due to changes in land use, tectonic movements that alter groundwater pathways, pollution, industrial activity, and potentially other sources, periodic re-assessment of water chemistry is required. Here we present data on concentrations of common elements for several tributary streams to Lake Michigan, Lake Erie, and Lake Ontario collected in 2017 and 2018. These data will be useful to anyone desiring to track fish... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aquatic Biology, Geochemistry, Great Lakes, Hydrology, Lake Erie, All tags... Lake Michigan, Lake Ontario, USGS Science Data Catalog (SDC), Water Quality, environment, inlandWaters, water chemistry, Fewer tags Image and biometric data for fish from Great Lakes tributaries collected during spring 2019 Image and biometric data were collected for 22 species of fish from Great Lakes Tributaries in Michigan and Ohio, and the Illinois River for the purpose of developing a fish identification classifier. Data consists of a comma delimited spreadsheet that identifies image file names and associated fish identification number, common name, species code, family name, genus, and species, date collected, river from which each fish was collected, location of sampling, fish fork length in millimeters, girth in millimeters, weight in kilograms, and personnel involved with image collection. Biometric data are saved as .csv comma delimited format and image files are saved as .png file type. Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aquatic Biology, Black Mallard River, Great Lakes, Illinois River, Little Manistee River, All tags... Menominee River, Muskegon River, Sandusky River, Tittabawassee River, USGS Science Data Catalog (SDC), biota, fish, fishery management, migratory behavior, species identification, Fewer tags Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.: Dikes This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the location of dikes within the Upper Peninsula Restoration Assessment (UPRA) study area. An ArcGIS model (Python script) identified dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold, the area was not considered a dike. However, if the difference in elevation between two points was significantly high, then the area was marked as a dike. Areas continuous with each other were considered part of the same dike. Data underwent quality control (QC) procedures by having Subject Matter Experts and... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Chippewa County, MI, Coastal Wetlands, Ecology, Environmental Health, Great Lakes, All tags... Hydrology, Lake Huron, Lake Michigan, Land Use Change, Mackinac County, MI, Michigan (MI), Soil Sciences, USGS Science Data Catalog (SDC), Upper Peninsula, Water Resources, Wetlands, lakeshore, water resource management, wetland hydrology, Fewer tags