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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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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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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.
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Coastal and estuarian wetlands in the Great Lakes Basin are increasingly impacted by habitat degradation, invasive species, and most recently (late 2010's), increased water levels. These wetlands act as an important buffer between the open lake and the near-shore areas, as key areas for nutrient cycling, as critical nurseries for many species of lake fish, and as habitat for numerous species of concern. Understanding how the cover and composition of these wetlands has changed over time is critical to making informed management decisions. By using both historical documents and imagery, multiple historic maps of wetland coverage were created in GIS to compare over time and to current maps and imagery of these critical...
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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...
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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...
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These are data associated with water column incubation experiments performed in the Fox rivermouth. The Fox River is a Lake Michigan tributary that enters Green Bay. These experiments are used to measure the transformation of inorganic and total dissolved nutrients occurring in the surface water of the rivermouth. Experiments had light and dark treatments, and some experiments were paired with experiments where nutrients were increased in initial spikes. Ancillary data associated with the experiments such as photosyntheticly active radiation (PAR) and chlorophyll a content are also included. In addition to the data, there is R code used to generate the uptake rates and perform the analyses described in the associated...
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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...
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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.
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Nutrient reduction on the landscape scale often focuses on actions that reduce the movement of nitrogen (N) and phosphorus (P) from agricultural lands into streams and rivers. However, processing of N and P in streams and rivers can be substantial and increasing these in-stream processing rates could result in reductions or transformations of nutrients to less labile or less mobile forms. We hypothesize that buffer conditions could influence the microbial community and sediment characteristics of streams and rivers and thereby influence in-stream N and P processing rates. As a result, we predict that variation in buffer land cover (from agricultural to wetlands to forest) causes differences in processing rates....
This dataset represents elevation data of the beach topography and near-shore bathymetry of Lake Superior at two locations along Minnesota Point, Duluth, Minnesota. LiDAR data were collected using a Velodyne VLP-16 unit representing the beach topography, and multibeam sonar data were collected using a Norbit integrated Wide Band Multibeam System compact (iWBMSc) sonar for bathymetry. The dataset includes DEMs of the terrestrial beach areas and topobathy (combined terrestrial and bathymetry), LAS and XYZ files of LiDAR and multibeam data, and 2-ft contours of the surveyed areas. Data were collected in cooperation with the U.S. Army Corps of Engineers (USACE), Detroit District, to define beach topography and near-shore...
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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 September 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected September 22-23, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Methodology similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.
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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 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 dataset of terrestrial light detection and ranging (lidar) data representing the beach topography and multibeam sonar data representing the bathymetry to approximately 1 kilometer (0.62 miles) offshore, for an 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...
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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.
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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 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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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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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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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...
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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...


map background search result map search result map Birds as indicators of contaminants in the Great Lakes 2018 Western Lake Erie 2018 Western Lake Erie 4-Band Mosaics - 20180823_Detroit 2018 Western Lake Erie 4-Band Mosaics - 20180823_Genoa 2018 Western Lake Erie 4-Band Mosaics - 20180823_Milan 2018 Western Lake Erie 4-Band Mosaics - 20180823_Oregon 2018 Western Lake Erie 4-Band Mosaics - 20180823_StonyPoint 2018 Western Lake Erie 4-Band Mosaics - 20180824_Lacarne 2018 Western Lake Erie 4-Band Mosaics - 20180824_OakHarbor Great Lakes Wetlands, 1940ish Minnesota Point: Elevation contours of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 (ver. 2.0, September 2024) Object-Based Image Analysis Detection of Aquatic Vegetation, Lake Erie, Western Basin, 2018 2018 Eastern Lake Erie Shoreline 4-Band Orthophotos - Section 3A 2018 Eastern Lake Erie Shoreline 4-Band Orthophotos - Section 4A Duluth Entry: 1-meter Digital elevation model (DEM) of beach topography of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 (ver. 2.0, September 2024) 2018 Eastern Lake Erie Shoreline 4-Band Orthophotos - Section 6A Sediment and water column flux data from the Fox rivermouth (Green Bay, WI; 2017) Orthophotos: oriXU-RS180_20180824_082545_244_11123_132357 - - through - - oriXU-RS180_20180824_085107_643_21091_132446 Data from water column and sediment incubations from streams of Duck Creek and Fox River watersheds in Wisconsin, as well as the Fox rivermouth, the Saginaw rivermouth (Lake Huron, MI) and the Maumee rivermouth (Lake Erie, OH) Duluth Entry: 1-meter Digital elevation model (DEM) of beach topography of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 (ver. 2.0, September 2024) Minnesota Point: Elevation contours of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 (ver. 2.0, September 2024) 2018 Western Lake Erie 4-Band Mosaics - 20180823_Detroit 2018 Western Lake Erie 4-Band Mosaics - 20180823_Milan Sediment and water column flux data from the Fox rivermouth (Green Bay, WI; 2017) 2018 Western Lake Erie 4-Band Mosaics - 20180824_Lacarne 2018 Western Lake Erie 4-Band Mosaics - 20180824_OakHarbor 2018 Western Lake Erie 4-Band Mosaics - 20180823_StonyPoint 2018 Western Lake Erie 4-Band Mosaics - 20180823_Oregon 2018 Eastern Lake Erie Shoreline 4-Band Orthophotos - Section 4A 2018 Eastern Lake Erie Shoreline 4-Band Orthophotos - Section 6A Orthophotos: oriXU-RS180_20180824_082545_244_11123_132357 - - through - - oriXU-RS180_20180824_085107_643_21091_132446 2018 Eastern Lake Erie Shoreline 4-Band Orthophotos - Section 3A Object-Based Image Analysis Detection of Aquatic Vegetation, Lake Erie, Western Basin, 2018 Data from water column and sediment incubations from streams of Duck Creek and Fox River watersheds in Wisconsin, as well as the Fox rivermouth, the Saginaw rivermouth (Lake Huron, MI) and the Maumee rivermouth (Lake Erie, OH) Great Lakes Wetlands, 1940ish Birds as indicators of contaminants in the Great Lakes