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To support research on remote sensing of rivers, specifically estimation of water depth from passive optical image data, hyperspectral image data and supporting depth measurements were collected on the Kootenai River in northern Idaho, September 27, 2017. This data release provides access to hyperspectral image acquired through this project and the supporting field-based measurements of depth and water column optical properties are available through related data releases. The hyperspectral image data were acquired by Quantum Spatial Inc. (QSI) using the ITRES CASI 1500H imaging system deployed from a Cessna Caravan manned aircraft from a flying height of 1000 m above ground level. Initial geometric and radiometric...
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Water-surface elevation measurements were collected in March 2015 along the upper Willamette River, Oregon, between Eugene to Corvallis. These surveys were collected over a small range of discharges using a real time kinematic global positioning system (RTK-GPS) on a motorboat traveling "on plane" along the river. These datasets were collected for equipment calibration and validation for the National Aeronautics and Space Administration’s (NASA) Surface Water and Ocean Topography (SWOT) satellite mission. This is one of multiple survey datasets that will be released for this effort.
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The U.S. Geological Survey collected field spectra collected from three rivers in Alaska September 19–21, 2016, to support research on remote sensing of river discharge. Reflectance measurements were made from bridges across the Chena River, Salcha River, and Montana Creek using an Analytical Spectral Devices FieldSpec3 spectroradiometer operated in reflectance mode. The original *.asd files are provided in this data release. This data release supports the following article: Legleiter, C.J., Kinzel, P.J., and Nelson, J.M., 2017, Remote measurement of river discharge using thermal particle image velocimetry (PIV) and various sources of bathymetric information: Journal of Hydrology, v. 554, p. 490-506, https://doi.org/10.1016/j.jhydrol.2017.09.004.
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River bathymetry surveys were collected in the summer and fall of 2016 along the lower Chetco River, Oregon. These surveys were collected using a real time kinematic global positioning system (RTK-GPS) and an echo sounder mounted on a motorboat and also behind a kayak at various cross sections and longitudinal profiles along the river. These datasets were collected in support of a funded effort investigating the cause of salt water intrusion that has taken place at the water intake facility for Harbor City, Oregon. The surveys were collected at sections approximately 0.4 river miles downstream to 0.8 river miles upstream of the Harbor City water intake structure and also at the city of Brookings water intake facility,...
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This document provides a summary of surface water-quality, streamflow, and groundwater data collected by the U.S. Geological Survey (USGS) within the Central Pine Barrens (CPB) Region of Suffolk County, New York. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven under a five-year comprehensive water resources monitoring program. The surface water-quality data within the CPB for the 2018 water year (October 1, 2017 to September 30, 2018) includes data from the Carmans River and the Peconic River. The streams were sampled several times throughout the year at seven pre-determined locations. The Carmans River was sampled at five locations: 1) CARMANS RIVER AT...
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To support research on dispersion in river channels, a tracer dye experiment was performed on the Kootenai River in northern Idaho, September 25-27, 2017. This data release provides access to hyperspectral image acquired during the experiment and the supporting field-based measurements of reflectance and dye concentration are available through related data releases. The hyperspectral image data were acquired by Quantum Spatial Inc. (QSI) using the ITRES CASI 1500H imaging system deployed from a Cessna Caravan manned aircraft from a flying height of 1000 m above ground level. Initial geometric and radiometric data processing was performed by ITRES and yielded images with 0.5 m pixels for each of 48 spectral bands...
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This data release contains information on computed tomography (CT) images of a vibracore that was collected by the U.S. Geological Survey in 2019. A site next to the San Lorenzo River in Henry Cowell Redwoods State Park, California, was cored to understand the history of recent vertical incision and floodplain abandonment. The core was split into 3 segments after collection. Each segment was scanned using a Geotek Rotating X-ray CT (RXCT) System and CT reconstruction was performed using Geotek reconstruction software. Geotek CT_Quickview software was used to select a representative down-core orthogonal slice from each core segment and the Geotek AddRuler software was used to display core-lengths in each image. The...
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This U.S. Geological Survey data release provides surface-water quality, streamflow, and groundwater-elevation data collected within the Central Pine Barrens (CPB) Region of Suffolk County, New York. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven as part of a five-year comprehensive water-resources monitoring program. Water quality and quality-assurance data from seven sites on two rivers (Carmans River- 5 sites and Peconic River - 2 sites) in the CPB are included. Carmans River sites were sampled four times throughout the year (fall, winter, spring, and summer) and Peconic River sites were sampled twice throughout the year (fall and spring). Water-quality...
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The U.S. Geological Survey collected thermal image time series from five rivers in Alaska September 18–20, 2016, to support research on remote sensing of river discharge. The image time series were acquired from bridges across the Knik, Matanuska, Chena, and Salcha Rivers and Montana Creek using a FLIR SC8340 mid-infrared (3–5 microns) camera operated at a rate of 10 frames/second. The original FLIR *.ast format video files are provided in this data release. This data release supports the following article: Legleiter, C.J., Kinzel, P.J., and Nelson, J.M., 2017, Remote measurement of river discharge using thermal particle image velocimetry (PIV) and various sources of bathymetric information: Journal of Hydrology,...
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The U.S. Geological Survey collected field spectra collected from the Niobrara River in Nebraska August 15–18, 2016, to support research on remote sensing of river discharge. Reflectance measurements were made by wading the Niobrara River near Norden Notch using an Analytical Spectral Devices FieldSpec3 spectroradiometer operated in reflectance mode. The original *.asd files are provided in this data release.
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This U.S. Geological Survey data release provides surface-water quality, streamflow, and groundwater-elevation data collected within the Central Pine Barrens (CPB) Region of Suffolk County, New York, from October 1, 2019 through September 30, 2020. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven as part of a five-year comprehensive water-resources monitoring program. Water quality and quality-assurance data from seven sites on two rivers (Carmans River- five sites and Peconic River- two sites) in the CPB are included. Carmans River sites were sampled four times throughout the year (fall, winter, spring, and summer) and Peconic River sites were sampled twice...
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To support research on dispersion in river channels, a tracer dye experiment was performed on the Kootenai River in northern Idaho, September 25-27, 2017. This data release provides in situ field measurements of Rhodamine WT dye concentration acquired during the experiment. A pulse consisting of 72.57 kg (160 pounds) of KEYACID™ Rhodamine WT dye that was 20% Rhodamine by weight was introduced into the Kootenai River channel from a single release point at the Kootenai Tribal Fish Hatchery over a period of 90 seconds ending at 20:10:40 PDT on 9/26/2017, which is equivalent to 04:10:40 on 9/27/2017 UTC. Information on the timing and location of the dye release is available from the KootenaiDyeReleasePoints.kmz Google...
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This polyline feature class depicts the classification of each wild and scenic river segment designated by Congress and the Secretary of the Interior for the United States and Puerto Rico. This layer was created by a multi-agency effort including the US Forest Service, National Park Service, Bureau of Land Management and the Fish and Wildlife Service. The spatial data were referenced to the latest High Resolution National Hydrological Data Layer (NHD 1:24,000 Scale or better), published by United States Geological Survey (USGS).“Wild” rivers are free of dams, generally inaccessible except by trail, and represent vestiges of primitive America. “Scenic” rivers are free of dams, with shorelines or watersheds still...
    map background search result map search result map Wild and Scenic Rivers Boat-based water-surface elevation surveys along the upper Willamette River, Oregon, in March, 2015 Field spectra from rivers in Alaska, September 19–21, 2016 Thermal image time series from rivers in Alaska, September 18–20, 2016 Field spectra from the Niobrara River, Nebraska, August 15-18, 2016 River bathymetry cross sectional surveys and profiles on the lower Chetco River, Oregon, Summer and Fall 2016 Hyperspectral image data acquired during a tracer dye experiment on the Kootenai River, ID, September 27, 2017 Field measurements of Rhodamine dye concentration during a tracer experiment on the Kootenai River, ID, September 25-27, 2017 Hyperspectral image data from the Kootenai River in northern Idaho, September 27, 2017 2018 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024) Stream network polylines for Eagle, Dayton, and Churchill Valleys, West-Central, Nevada Vibracore CT scans from the San Lorenzo River 2019 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024) 2020 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024) Vibracore CT scans from the San Lorenzo River River bathymetry cross sectional surveys and profiles on the lower Chetco River, Oregon, Summer and Fall 2016 Hyperspectral image data from the Kootenai River in northern Idaho, September 27, 2017 Field measurements of Rhodamine dye concentration during a tracer experiment on the Kootenai River, ID, September 25-27, 2017 Hyperspectral image data acquired during a tracer dye experiment on the Kootenai River, ID, September 27, 2017 2018 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024) 2019 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024) 2020 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024) Stream network polylines for Eagle, Dayton, and Churchill Valleys, West-Central, Nevada Thermal image time series from rivers in Alaska, September 18–20, 2016 Field spectra from rivers in Alaska, September 19–21, 2016 Wild and Scenic Rivers