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From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Kirk Lake during June 2017. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Lake Gleneida during May 2017. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Middle Branch Reservoir during July and August, 2017. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at West Branch Reservoir during September 2017, October 2017, and October 2019. Depth data were collected primarily with a multibeam echosounder; additional bathymetry points were measured using an acoustic Doppler current profiler (ADCP). Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Boyd Corners Reservoir during September 2017. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Lake Gilead during May 2017. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at New Croton Reservoir during June 2017, July 2017, and October 2017. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured...
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This data set contains rate of shoreline change statistics for New York State coastal wetlands. Analysis was performed in ArcMap 10.5.1 using historical vector shoreline data from the National Oceanic and Atmospheric Administration (NOAA). Rate of change statistics were calculated using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0. End-point rates, presented here, calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline, were generated for wetlands where fewer than three historic shorelines were available. Linear regression rates, determined by fitting a least-squares regression line to all shoreline...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Amawalk Reservoir from May 2018 to November 2019. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data...
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This dataset has been archived; it has been superceded by version 2.0 (September 2021) which can be found at https://doi.org/10.5066/P9RUUR4L Data from 10-day sediment toxicity tests of bed sediments from the Buffalo River Area of Concern (AOC) and reference reaches on the Buffalo River upstream of the AOC, Erie County, New York, respectively. Specifically, the data was used to compare the survival and growth of two macroinvertebrate species in sediments from study sites and laboratory controls. Results are from 10-day sediment exposures of two test species, Chironomus dilutus and Hyalella azteca. Sediment samples were collected from 8 sites within the AOC and from 6 reference sites upstream of the AOC. Bed-sediments...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Kensico Reservoir from June to August, 2018. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Muscoot Reservoir during June 2017 and November 2019. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at East Branch Reservoir May 2018, June 2018, and October 2019. Depth data were collected primarily with a multibeam echosounder; additional bathymetry points were measured using an acoustic Doppler current profiler (ADCP). Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements...
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This data set displays intersection points used to compute rate of change statistics for New York State coastal wetlands. Analysis was performed in ArcMap 10.5.1 using historical vector shoreline data from the National Oceanic and Atmospheric Administration (NOAA). Rate of change statistics were calculated using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0. End-point rates, calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline, were generated for wetlands where fewer than three historic shorelines were available. Linear regression rates, determined by fitting a least-squares regression line to...
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This dataset includes New York State historical shoreline positions represented as digital vector polylines from 1880 to 2015. Shorelines were compiled from topographic survey sheets from the National Oceanic and Atmospheric Administration (NOAA). Historical shoreline positions can be used to assess the movement of shorelines through time. Rates of shoreline change were calculated in ArcMap 10.5.1 using the Digital Shoreline Analysis System (DSAS) version 5.0. DSAS uses a measurement baseline method to calculate rate of change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates. For wetland shorelines these...
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This data set displays baselines used to calculate shoreline rate of change statistics for New York State coastal wetlands. Analysis was performed in ArcMap 10.5.1 using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0, and polyline vector historical shorelines from the National Oceanic and Atmospheric Administration (NOAA) . The baselines used in the analysis serve as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing intersection measurement points, which were then used to calculate the rates. U.S. Fish and Wildlife National Wetland Inventory polygon vector data provided extents of coastal...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Diverting Reservoir during June 2017. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Titicus Reservoir during November 2017 and May 2018. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Croton Falls Reservoir during August 2017, May 2018, and October 2019. Depth data were collected primarily with a multibeam echosounder; additional bathymetry points were measured using an acoustic Doppler current profiler (ADCP). Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Bog Brook Reservoir during October 2017. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar...
map background search result map search result map End point rate of shoreline change statistics for New York State coastal wetlands Baselines used to calculate rate of shoreline change statistics for New York State coastal wetlands Intersection points used to calculate rate of shoreline change statistics for New York State coastal wetlands Historical shorelines used to calculate rate of shoreline change statistics for New York State coastal wetlands Data for Assessing the Status of Macroinvertebrate Communities and Sediment Toxicity in the Buffalo River Area of Concern, New York Geospatial bathymetry datasets for Amawalk Reservoir, New York, 2018 to 2019 Geospatial bathymetry datasets for Bog Brook Reservoir, New York, 2017 Geospatial bathymetry datasets for Boyd Corners Reservoir, New York, 2017 Geospatial bathymetry datasets for Croton Falls Reservoir, New York, 2017 to 2019 Geospatial bathymetry datasets for Diverting Reservoir, New York, 2017 Geospatial bathymetry datasets for East Branch Reservoir, New York, 2018 to 2019 Geospatial bathymetry datasets for Kensico Reservoir, New York, 2018 Geospatial bathymetry datasets for Kirk Lake, New York, 2017 Geospatial bathymetry datasets for Lake Gilead, New York, 2017 Geospatial bathymetry datasets for Lake Gleneida, New York, 2017 Geospatial bathymetry datasets for Middle Branch Reservoir, New York, 2017 Geospatial bathymetry datasets for Muscoot Reservoir, New York, 2017 to 2019 Geospatial bathymetry datasets for New Croton Reservoir, New York, 2017 Geospatial bathymetry datasets for Titicus Reservoir, New York, 2017 to 2018 Geospatial bathymetry datasets for West Branch Reservoir, New York, 2017 to 2019 Geospatial bathymetry datasets for Bog Brook Reservoir, New York, 2017 Geospatial bathymetry datasets for Boyd Corners Reservoir, New York, 2017 Geospatial bathymetry datasets for Kirk Lake, New York, 2017 Geospatial bathymetry datasets for Middle Branch Reservoir, New York, 2017 Geospatial bathymetry datasets for Diverting Reservoir, New York, 2017 Geospatial bathymetry datasets for Titicus Reservoir, New York, 2017 to 2018 Geospatial bathymetry datasets for Amawalk Reservoir, New York, 2018 to 2019 Geospatial bathymetry datasets for Croton Falls Reservoir, New York, 2017 to 2019 Data for Assessing the Status of Macroinvertebrate Communities and Sediment Toxicity in the Buffalo River Area of Concern, New York Geospatial bathymetry datasets for West Branch Reservoir, New York, 2017 to 2019 Geospatial bathymetry datasets for Kensico Reservoir, New York, 2018 Geospatial bathymetry datasets for East Branch Reservoir, New York, 2018 to 2019 Geospatial bathymetry datasets for Muscoot Reservoir, New York, 2017 to 2019 Geospatial bathymetry datasets for New Croton Reservoir, New York, 2017 End point rate of shoreline change statistics for New York State coastal wetlands Intersection points used to calculate rate of shoreline change statistics for New York State coastal wetlands Baselines used to calculate rate of shoreline change statistics for New York State coastal wetlands Historical shorelines used to calculate rate of shoreline change statistics for New York State coastal wetlands