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This map layer includes Global Map data showing the coastline of the United States, Puerto Rico, and the U.S. Virgin Islands. The United States shoreline of the Great Lakes is also included. The data are a modified version of the National Atlas of the United States 1:1,000,000-Scale Coastline of the United States.
Acoustic telemetry is a popular tool for the study of fish spatial ecology. In acoustic telemetry, fish are captured, surgically implanted with an acoustic transmitter or ‘tag’, and then released back into the environment. Networks of autonomous, stationary receivers then are used to track the movements of tagged individuals over long periods of time (> 1 year). Each acoustic receiver records the date, time, and unique transmitter code (or ID) for each acoustic tag detection. This data set contains detection data for 282 acoustic-tagged lake sturgeon that were captured and released into the Detroit River, St. Clair River, and Lake Huron between 2011 and 2015. Movements of acoustic-tagged individuals were tracked...
Categories: Data;
Types: Citation;
Tags: Acipenser fulvescens,
Detroit River,
Great Lakes,
Lake Erie,
Lake Huron,
These data were collected as part of the Great Lakes Restoration Initiative (GLRI) project template 678-1 entitled "Evaluate immediate and long-term BMP effectiveness of GLRI restoration efforts at urban beaches on Southern and Western Lake Michigan". This project is evaluating the effectiveness of projects that are closely associated with restoration of local habitat and contact recreational activities at two GLRI funded sites in Southern Lake Michigan and one non-GLRI site in Western Lake Michigan. Evaluation of GLRI projects will assess whether goals of recipients are on track and identify any developing unforeseen consequences. Including a third, non-GLRI project site in the evaluation allows comparison between...
These data represent coastal corridors exposed by lake levels reduced from mean 2009 water surface elevations. These elevations were established by values published by the United States Army Corps of Engineers (USACE), and based on a network of multiple gages within each lake. The corridors were derived from two data sources: 5-m resolution lidar-based topo-bathymetry produced by the USACE Joint Airborne Lidar-Based Technical Center of eXpertise (JALBTCX) and the National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center, and bathymetric contour lines produced by the NOAA Great Lakes Environmental Research Laboratory (GLERL). The JALBTCX lidar-based topo-bathymetry were used to produce representations...
Categories: Data,
Map;
Types: Map Service,
OGC WMS Layer;
Tags: Accountability,
GLERL bathymetry,
GLRI,
Great Lakes,
Great Lakes Restoration Initiative,
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,
Site-specific multiple linear regression models were developed for eight sites in Ohio—six in the Western Lake Erie Basin and two in northeast Ohio on inland reservoirs--to quickly predict action-level exceedances for a cyanotoxin, microcystin, in recreational and drinking waters used by the public. Real-time models include easily- or continuously-measured factors that do not require that a sample be collected. Real-time models are presented in two categories: (1) six models with continuous monitor data, and (2) three models with on-site measurements. Real-time models commonly included variables such as phycocyanin, pH, specific conductance, and streamflow or gage height. Many of the real-time factors were averages...
Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Sodus Bay, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point...
Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Sodus Bay, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point...
Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Sodus Bay, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point...
Categories: Data;
Tags: 3DR Solo quadcopter,
Agisoft Photoscan,
CMGP,
Charles Point,
Coastal and Marine Geology Program,
New gravity and magnetic compilations and elevation-bathymetry models have been compiled for the Lake Superior region. These data provide continuous sets of observations for geologic interpretations spanning political boundaries such as US States and the US-Canada border where bedrock geology is largely concealed beneath glacial deposits and surface water. These data are providing constraints for on-going 3D geologic modeling of the Midcontinent Rift System and are helping to understand the metallogeny of the region.
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,
This dataset is a LAS dataset containing light detection and ranging (lidar) data and multibeam sonar data representing the beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, Minnesota. The LAS dataset used to create a digital elevation model (DEM) of the approximate 1.87 square kilometer surveyed area. Lidar data were collected using a boat mounted Velodyne VLP-16 unit. Multibeam sonar data were collected using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Single-beam sonar data were collected using a Ceescope sonar unit. All elevation data were collected June 22-24, 2021. Methodology similar to Wagner, D.M., Lund, J.W., and...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Bathymetry and Elevation,
Duluth,
Great Lakes,
Lake Superior,
Southwestern Lake Superior,
Vegetation sampling and elevation data were collected to characterize the sedge-grass meadow of Arcadia Marsh, Arcadia, Michigan (USA), a drowned river mouth wetland near Lake Michigan. Wetland vegetation community data were collected by quadrat sampling in 1995, 2002, and 2010 and topographic data were collected via GPS and LIDAR positional data in 2010.
Categories: Data;
Tags: Aquatic Vascular Vegetation,
Bathymetry and Elevation,
Botany,
Ecology,
Emergent Wetland,
This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, Minnesota. The DEM has a 5-meter (m; 16.404 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography, and multibeam sonar data representing the bathymetry. The survey area extends approximately 0.85 kilometers (0.5 miles) offshore, for an approximately 1.87 square kilometer surveyed area. Lidar data were collected July 28, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected July 28-29, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Bathymetry and Elevation,
Duluth,
Great Lakes,
Lake Superior,
Southwestern Lake Superior,
Contaminant exposure of tree swallows, Tachycineta bicolor, nesting in the Great Lakes basin was assessed in 2010 to 2014. Tree swallow nestlings were collected from 69 sites which included multiple sites at some of the 27 Areas of Concern (AOCs) and at nine non-AOC sites. Polycyclic aromatic hydrocarbon (PAHs), polychlorinated biphenyl (PCBs), and polybrominated diphenyl ether (PBDEs) concentrations were measured in nestling stomach contents. Concentrations of PCBs and PBDEs were measured in nestling carcasses. Perfluorinated compounds (PFCs) were measured in nestling plasma. Pooled dietary concentrations of total PAHs were highest at the Rouge River, MI AOC (1,856 ng/g wet weight) and lowest at White Lake, MI...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Areas of Concern,
GLRI,
Great Lakes,
Great Lakes Restoration Initiative,
Lake:Lake Erie,
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; 32.8084 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography. Lidar data were collected July 23, 2020 using a boat mounted Velodyne unit. Methodology similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Bathymetry and Elevation,
Duluth,
Great Lakes,
Lake Superior,
Southwestern Lake Superior,
This dataset is a digital elevation model (DEM) of the beach topography of Lake Superior at the Duluth Entry, Duluth, Minnesota. The DEM has a 1-meter (m; 3.28084 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography. Lidar data were collected July 28, 2020 using a boat mounted Velodyne unit. Methodology similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Bathymetry and Elevation,
Duluth,
Great Lakes,
Lake Superior,
Southwestern Lake Superior,
This dataset consists of two files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach and near-shore topography of Lake Superior at Minnesota Point, Duluth, Minnesota. The point data is the same as that in the LAS dataset used to create a digital elevation model (DEM) of the approximately 2.27 square kilometer surveyed area. Lidar data were collected July 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected July 20th and 23rd, 2020 using a Norbit integrated wide band multibeam system (iWBMSc) sonar unit. Methodology for data collection similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.
The USGS developed the second in a series of informative spatial distribution datasets of submersed aquatic vegetation (SAV) in the western basin of Lake Erie. The second dataset was developed by object-based image analysis of high-resolution imagery (US waters < 6 meters deep) collected during peak biomass in 2018 to allow assessments of changes in SAV distribution. Assessing SAV abundance may contribute to inform the long-term impacts of Grass Carp, Common Carp, eutrophication, wind fetch and sedimentation on vegetation communities throughout Lake Erie and the impact these stressors may have on other organisms in the ecosystem. These data may also help inform the deployment of toxic bait deployments targeting...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Ctenopharyngodon idella,
Great Lakes,
Lake Erie,
USGS-CC Asian Carp,
USGS-CC Great Lakes,
Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Sodus Bay, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point...
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