Folders: ROOT > ScienceBase Catalog > Upper Midwest Environmental Sciences Center (UMESC) > Upper Midwest Environmental Sciences Center Data > Laurentian Great Lakes ( Show direct descendants )
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ROOT _ScienceBase Catalog __Upper Midwest Environmental Sciences Center (UMESC) ___Upper Midwest Environmental Sciences Center Data ____Laurentian Great Lakes Filters
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High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
High-resolution digital aerial imagery was collected on August 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie as well as shallow areas along the shoreline of the eastern portion.
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
The datasets listed on this page need to have copies of the images and their metadata files stored in .zip files for downloading, as the list of individual files is so long users may not download the metadata at the same time they download images. Do not make public until the image files are replaced with .zip files (which contain both the images and metadata). High-resolution digital aerial imagery was collected on August 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Eastern Lake Erie,
Lake Erie,
New York,
Ohio,
Pennsylvania,
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Lake Erie,
Michigan,
Ohio,
Western Lake Erie,
imageryBaseMapsEarthCover
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Lake Erie,
Michigan,
Ohio,
Western Lake Erie,
imageryBaseMapsEarthCover
Tree swallow egg and nestling concentrations of total PCBs and accumulation rate (ug of total PCBs accumulated per day) from 10 sites across the US Great Lakes at sites with different dredging histories..
Categories: Data;
Tags: Buffalo, MN,
Cape Vincent, NY,
Milwaukee, WI,
North Chicago, IL,
Oscoda, MI,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
These data are digital elevation models (DEMs) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, near the Superior entry, Duluth, Minnesota. The DEMs have 1 meter (m; 3.28084 ft) and/or 10 m (32.8084 ft) cell size and was created from a LAS dataset of terrestrial light detection and ranging (LiDAR) data representing the beach topography and sonar data representing the bathymetry for an approximate 1.78 square kilometer survey area. 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. Lidar data were collected November 01, 2022 using a boat mounted Velodyne VLP-16 unit and methodology...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
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 the Duluth Entry, Duluth, Minnesota. The point data is the same as that in the LAS dataset used to create a digital elevation model (DEM) of the approximately1.87 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 (iWBMSc) sonar unit. Methodology for data collection similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.
This dataset represents elevation data of the beach topography and near-shore bathymetry before placing dredge spoils on the beach at Minnesota Point near the Duluth Entry of Lake Superior, Duluth, Minnesota. The data was acquired using a lidar sensor, single-beam and multibeam sonars. The dataset includes DEMs of the terrestrial beach areas and topobathy (combined terrestrial and bathymetry), LAS and XYZ files of lidar, single-beam, and multibeam point data, and 2-ft contours. Data were collected in cooperation with the U.S. Army Corps of Engineers (USACE), Detroit District, to evaluate movement of placed material and overall change of near-shore bathymetry after beach nourishment. First release: 2022 Revised:...
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
We surveyed fixed-width transects to determine waterbird distribution and estimate relative density. Transects generally paralleled shorelines to maximize efficiency and safety. Fixed-width transects were spaced at 3.2 and 4.8 km intervals and extended up to 32 km offshore so as to include waters with depth up to 80 m. Transects were established using snapPLAN software (TRACK’AIR Aerial Survey Systems, The Netherlands). Surveys were flown at an average ground speed of about 220 km/h at an altitude of about 61-76 m above the water using a US Fish and Wildlife Service fix-winged aircraft (Partenavia P68 Observer 2). Two trained observers, one on each side of the plane, identified and tallied waterbirds within 200...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Aerial Survey,
Distribution,
Lake Michigan,
common loon
Invasion of North American waters by Dreissena polymorpha and D. rostriformis bugensis has resulted in declines in native North American Unionoida mussels. Dreissenid mussels biofoul unionid mussels in large numbers and interfere with unionid movement, acquisition of food and ability to open and close their shells. Initial expectations for the Great Lakes were that unionids would be extirpated where they co-occur with dreissenids, but recently adult and juvenile unionids have been found alive in several apparent refugia. These unionid populations may persist due to reduced dreissenid biofouling in these areas, and/or due to processes that remove biofoulers. For example, locations inaccessible to veligers may reduce...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ecological process monitoring,
Lake Erie,
Ohio,
USGS Science Data Catalog (SDC),
biofouling
High-resolution digital aerial imagery was collected on August 23 and 24, 2018, with an 80-megapixel Phase One iXU-R 180 natural color aerial camera co-mounted with a Phase One iXU-RS 160 achromatic aerial camera. Software co-registers the simultaneously collected images to create 4-band imagery that can be displayed in either true color (RGB) or color-infrared (CIR) format. The camera system is connected to the plane's positioning and orientation system and precise metadata was generated for each exposure. This imagery was intended to be used as a base layer for object-based image analysis (OBIA) to map aquatic vegetation in western Lake Erie.
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