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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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Image library of (1) tile-drained landscapes and (2) tile-drain types that will be used for a machine-learning model workflow that identifies (1) tile-drained landscapes and (2) differentiates two types of tile-drained areas visible in satellite imagery. These images were sourced from WorldView and Quickbird satellite imagery (copyright DigitalGlobe) and cropped to features of interest. Imagery has a ground resolution of 0.34 - 0.65 m.
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Grass Carp Ctenopharyngodon idella was imported to the United States in the 1960s for research into its usefulness as a biocontrol agent for nuisance aquatic vegetation. Escapees and intentionally stocked individuals founded wild, spawning populations in the Mississippi River and tributaries to the Laurentian Great Lakes. USGS-led research on the Sandusky River, a tributary to Lake Erie, demonstrated spawning of Grass Carp in 2015. In 2018, sampling with ichthyoplankton nets in the Sandusky River 11-13 June produced thousands of suspected fertilized Grass Carp eggs. Genetic analysis of 49 eggs identified by microscopic analysis as Grass Carp eggs confirmed all were from Grass Carp, demonstrating 100% accuracy of...
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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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This data release includes physical and chemical data for samples from fluvial targets (streambed and suspended sediment) from three sampling sites in the Black Creek basin, Indiana. Data include total nitrogen and carbon concentrations, carbon species, total concentrations for 42 metals, and particle-size analysis. Fluvial-target samples include both soft, streambed sediment and streamflow-integrated, monthly, suspended-sediment samples for water year 2018. These data are used for source attribution in order to quantify the proportional contribution of individual sources to suspended sediment in the basin [Williamson et al. in revision].
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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...
This dataset contains a tabular file of phytoplankton abundance and community composition analysis in samples collected from eight sites in the Western Lake Erie Basin; four sites in Grand Traverse Bay, Lake Michigan; and five sites in Saginaw Bay, Lake Huron. Samples were collected and processed by the Great Lakes Science Center of the U.S. Geological Survey (USGS) and analyzed by BSA Environmental Inc. Lake Erie sample collection spanned years 2014-2018 with some sites sampled throughout this period and other sites sampled in only some years. Sample collection in Grand Traverse Bay, Lake Michigan and Saginaw Bay, Lake Huron occurred in 2015. Sample collection was focused in summer and early fall months and data...
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This tabular data set contains estimates of total phosphorus concentration and mass, as well as measurements of water discharge and volume at a diked wetland pool (Pool 2B) that was reconnected to a Lake Erie tributary (Crane Creek) via a water control structure in March 2011. Sampling occurred during 2013 and 2014. In addition, this data set contains evaluations of movement of total phosphorus and water through the reconnecting structure, frequency of changes in flow direction through the reconnecting structure, and dissolved oxygen measurements in the reconnected wetland pool.
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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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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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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...
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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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The Maumee River transports huge loads of nitrogen (N) and phosphorus (P) to Lake Erie. The increased concentrations of N and P are causing eutrophication of the lake, creating hypoxic zones, and contributing to phytoplankton blooms. It is hypothesized that the P loads are a major contributor to harmful algal blooms that occur in the western basin of Lake Erie, particularly in summer. The Maumee River has been identified by the United States Environmental Protection Agency as a priority watershed where action needs to be taken to reduce nutrient loads. This study quantified rates of biogeochemical processes affecting downstream flux of N and P by 1) measuring indices of potential sediment P retention and 2) measuring...
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Trends in nutrient fluxes and streamflow for selected tributaries in the Lake Erie watershed were calculated using monitoring data at 10 locations. Trends in flow-normalized nutrient fluxes were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). Site information and streamflow and water-quality records are contained in 3 zipped files named as follows: INFO (site information), Daily (daily streamflow records), and Sample (water-quality records). The INFO, Daily (flow), and Sample files contain the input data, by water-quality parameter and by site as .csv files, used to run trend analyses. These files were generated by the R (version 3.1.2) software...
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This data release includes physical and chemical data for samples from upland-source and streambank sampling sites in the Black Creek basin, Indiana. Data include total nitrogen and carbon concentrations, carbon species, total concentrations for 42 metals, and particle-size analysis. Source samples were identified as one of five land-use types: active cropland (corn, soybean, hay, and wheat), active horse pasture, roads, preserved forest, and streambanks of agricultural and non-agricultural channels. Source data were collected in August and September 2017. These data are used for source attribution in order to quantify the proportional contribution of individual sources to suspended sediment in the basin [Williamson...


map background search result map search result map Total phosphorus and water flux at a restored hydrologic connection at Ottawa National Wildlife Refuge in 2013 and 2014 Nutrient and streamflow model-input data 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 Data for multiple linear regression models for predicting microcystin concentration action-level exceedances in selected lakes in Ohio Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie - Source samples Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie - Fluvial-target samples Developmental Stages of Grass Carp (Ctenopharyngodon idella) eggs in the Sandusky River (ver. 3.0, July 2020) Machine learning with satellite imagery to document the historical transition from topographic to dense sub-surface agricultural drainage networks (tile drains) Phytoplankton Community Composition in Western Lake Erie, 2014-2018; Grand Traverse Bay, Lake Michigan, 2015; and Saginaw Bay, Lake Huron, 2015 Object-Based Image Analysis Detection of Aquatic Vegetation, Lake Erie, Western Basin, 2018 Orthophotos: oriXU-RS180_20180824_082545_244_11123_132357 - - through - - oriXU-RS180_20180824_085107_643_21091_132446 Orthophotos: oriXU-RS180_20180824_093959_995_41363_132627 - - through - - oriXU-RS180_20180824_100324_915_52003_132722 Orthophotos: oriXU-RS180_20180824_100339_616_52115_132723 - - through - - oriXU-RS180_20180824_103128_350_62867_132819 Great Lakes Restoration Initiative: Nutrient cycling in riverbed sediment in the Maumee River Basin, 2019 Data 2018 Western Lake Erie 4-Band Mosaics - 20180823_Genoa Total phosphorus and water flux at a restored hydrologic connection at Ottawa National Wildlife Refuge in 2013 and 2014 2018 Western Lake Erie 4-Band Mosaics - 20180823_Detroit Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie - Source samples Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie - Fluvial-target samples 2018 Western Lake Erie 4-Band Mosaics - 20180823_Milan Developmental Stages of Grass Carp (Ctenopharyngodon idella) eggs in the Sandusky River (ver. 3.0, July 2020) 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 Orthophotos: oriXU-RS180_20180824_093959_995_41363_132627 - - through - - oriXU-RS180_20180824_100324_915_52003_132722 Orthophotos: oriXU-RS180_20180824_082545_244_11123_132357 - - through - - oriXU-RS180_20180824_085107_643_21091_132446 Orthophotos: oriXU-RS180_20180824_100339_616_52115_132723 - - through - - oriXU-RS180_20180824_103128_350_62867_132819 Object-Based Image Analysis Detection of Aquatic Vegetation, Lake Erie, Western Basin, 2018 Great Lakes Restoration Initiative: Nutrient cycling in riverbed sediment in the Maumee River Basin, 2019 Data Data for multiple linear regression models for predicting microcystin concentration action-level exceedances in selected lakes in Ohio Nutrient and streamflow model-input data Phytoplankton Community Composition in Western Lake Erie, 2014-2018; Grand Traverse Bay, Lake Michigan, 2015; and Saginaw Bay, Lake Huron, 2015 Machine learning with satellite imagery to document the historical transition from topographic to dense sub-surface agricultural drainage networks (tile drains)