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This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach topography and sonar data representing near-shore topography of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. The point data is the same as that in LAS files that were used to create the digital elevation models (DEMs) 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 similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected September 06-07, 2022 using a Norbit integrated...
This tabular data set represents the soil pH as processed from STATSGO2 database compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The source data was produced by the United States Geological Survey (Wieczorek, 2019). Soil pH units are approximately the negative of the base 10 logarithm of the molar concentration, measured in units of moles per liter, of hydrogen ions. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. Reach catchment information characterizes data at the local scale. Reach catchments...
This tabular data set represents the percent of land cover classes from the 2011 National Land Cover Dataset compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "National Land Cover Database 2011" produced by the United States Geological Survey (Homer and others, 2011). Units are percent. The "National Land Cover Database 2011" (NLCD 2011) is a 16-class (additional four classes in Alaska only) land cover classification scheme that...
Types: Citation;
Tags: Arkansas-White_Red,
California,
Catchment,
Conterminous United States,
Great Lakes,
This tabular data set represents percent NLCD 2011 Tree Canopy compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for percent NLCD 2011 Tree Canopy was produced by the United States Department of Agriculture (Tipton and others, 2012). Units are percent. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated...
Types: Citation;
Tags: Arkansas-White_Red,
California,
Catchment,
Conterminous United States,
Great Lakes,
The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and St. Cloud State University (SCSU), identified the occurrence of chemicals of emerging concern (CECs) in water and bottom sediment collected in 2014 at 65 sites throughout the Great Lakes Basin. The 2014 effort is part of a long-term study that began in 2010. Included in this directory are collection methods, references to or descriptions of analytical methods used, data for samples collected in 2014, and associated quality-assurance data. Samples were collected during the periods of April to May and August to September by USGS, USFWS, and (or) SCSU personnel. Study sites include tributaries to the Great Lakes located...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Area of Concern,
Emerging Contaminants,
Emerging Contaminants,
Great Lakes,
Great Lakes Area of Concern,
A medium resolution vector map of the Canadian and U.S. Great Lakes and St. Lawrence River shoreline is segmented into reaches and classified using a three tier scheme representing the geomorphic nature of the shoreline, the extent of shoreline protection, and the geomorphic nature of the nearshore subaqueous shoreline.
The data includes dates, places, and times of sampling events for eggs and larvae of invasive Grass Carp (Ctenopharyngodon idella) in tributaries to Lake Erie between 2015 and 2020. Reference data on locations and dates sampled, gears used, and effort are included. Developmental stages for a subset of undamaged, fertilized eggs are provided. Tables include common fields to allow for integration into a relational database to aid data extraction and associating data among tables.
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), in three locations 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 vicinities of Braddock Bay, Sodus Bay, and Chimney Bluffs State Park, 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...
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...
Point locations for collections of Michigan fish in the Lake Michigan basin.
A bathymetric layer for Lake Superior of unkown origin, obtained from the Great Lakes Information Network (GLIN) at http://gis.glin.net/ogc/services.php.
Description of Work USGS is creating forecasting tools for managers to determine how water withdrawals or other hydrologic or land use changes in watersheds may affect Great Lakes ecosystems. This project is determining fish distributions in Great Lakes tributaries and how changes in stream flow may affect them. This information will help guide restoration efforts to achieve maximum effectiveness and success. Estimates were produced using WATER - a TOPMODEL based tool that estimates streamflow at any point along the stream network. The pour point is selected using a point-and-click GUI that samples information about the basin using a geodatabase of topographic and soil data spatial layers.
Categories: Project;
Tags: GLRI,
Great Lakes,
Great Lakes Restoration Initiative,
Great Lakes Restoration Initiative,
Lake,
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), in three locations 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 vicinities of Braddock Bay, Sodus Bay, and Chimney Bluffs State Park, 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...
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), in three locations 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 vicinities of Braddock Bay, Sodus Bay, and Chimney Bluffs State Park, 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...
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...
The data release includes part of the bottom-trawl and gill-net survey data collected between 1952 and 1962 from the research vessel R/V Cisco. The bottom-trawl dataset includes tables for fishing operations and effort (BT_OP.csv), fish catch (BT_Catch.csv), and individual length-weight-sex-maturity (LWSM) records (BT_Fish.csv) for only a subset of species (details below). The gill-net dataset includes tables for fishing operations (GN_OP.csv), fishing effort (GN_Effort.csv), fish catch (GN_Catch.csv), and individual LWSM records (GN_Fish.csv) for only a subset of species (details below). Two reference tables, BT_Spec.csv and Species.csv, are used for bottom trawl specifications and fish species names, respectively....
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,
This paper introduces the analyses of the potential impacts of climate change on the city of Chicago and the Great Lakes region and potential response options that provide the basis for this special issue. Covering projected changes in climate and hydrology, this collection of studies first estimates the potential impacts of climate change on human health, natural ecosystems, water resources, energy, and infrastructure in the city of Chicago and the surrounding Great Lakes region. A consistent set of future climate projections have been used as the basis for each analysis, which together provide a vivid impression of the consequences likely to result under the SRES higher (A1FI) as compared to the lower (B1) emission...
Categories: Publication;
Types: Citation;
Tags: Assessment,
Chicago,
Climate change,
Data Visualization & Tools,
Great Lakes,
This dataset is the output of a python script/ArcGIS model that identifes 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 eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Detroit River,
Great Lakes,
LIDAR,
Lake St. Clair,
St. Clair River,
This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. This data represents the location of dikes within the Lake Ontario Restoration Assessment (LORA) study area. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to assist with the selection of wetland restoration sites. The parameters are Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation...
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