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A bathymetric survey was conducted upstream and downstream of the confluence of the Ichilo and Sajta Rivers near Puerto Villarroel, Bolivia. The surveyed reach extends approximately 12 kilometers upstream of the confluence along the Ichilo River, approximately 2 kilometers upstream of the confluence along the Sajta River, and 1.5 kilometers downstream of the confluence. The bathymetric data include survey point data provided as a text file of horizontal coordinates in Universal Transverse Mercator Zone 20 South, in meters. The river bed elevation is expressed as height above the WGS-84 ellipsoid, in meters. USGS personnel collected bathymetric data from May 23, 2019, through May 24, 2019 using an interferometric...
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"NewEngland_pkflows.PRT" is a text file that contains results of flood-frequency analysis of annual peak flows from 186 selected streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in the New England region (Maine, Connecticut, Massachusetts, Rhode Island, New York, New Hampshire, and Vermont). Only streamgages in the region that were also in the USGS "GAGES II" database (https://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml) were considered for use in the study. The file was generated by combining PeakFQ output (.PRT) files created using version 7.0 of USGS software PeakFQ (https://water.usgs.gov/software/PeakFQ/; Veilleux and others, 2014) to conduct flood-frequency...
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This data release consists of orthophotographs of the Snow River in Alaska acquired on September 1, 2018. The orthophotographs were produced from images obtained using a Hasselblad A6D-100C 100 megapixel digital mapping camera deployed within a pod mounted on the landing gear of a Robinson R44 helicopter. Images were acquired as the helicopter transited a series of flight lines designed to provide complete coverage, with ample overlap, of the study area along the Snow River. Also within the pod was an ATLANS GPS/Inertial Motion Unit (IMU) that recorded the position and orientation of the platform during the flight. This information was used to geo-reference the images by performing aerial triangulation and bundle...
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This dataset is a geographic information systems shapefile containing basin polygons, site information, basin characteristics, results of flood-frequency analysis, and results of Bayesian weighted least-squares / Bayesian generalized least-squares (B-WLS/B-GLS) analysis for 183 streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in parts of hydrologic unit 02 (mid-Atlantic region) in eastern New York and Pennsylvania and the surrounding states of Connecticut, Maryland, Massachusetts, New Jersey, Vermont, Virginia, West Virginia that were used to estimate regional skewness of annual peak flows. Bayesian weighted least-squares / Bayesian generalized Least-Squares (B-WLS/B-GLS) regression...
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This data release includes field measurements of flow depth and optical image sequences acquired from the Salcha River in Alaska on July 25, 2019. These data were used to develop and test a spectrally based remote sensing technique for estimating water depth from passive optical image data. The purpose of this study was to assess the feasibility of inferring water depths from optical image sequences acquired from a helicopter hovering above the river by averaging the images over time and then establishing a correlation between a spectral band ratio and field measurements of depth, and to develop a modular workflow for performing this type of analysis. Remote sensing of river bathymetry (depth) could provide a...
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This data release contains annual peak-flow data and PeakFQ output files for 186 selected streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in the New England region (Maine, Connecticut, Massachusetts, Rhode Island, New York, New Hampshire, and Vermont). The annual peak-flow data were obtained from the USGS National Water Information System (NWIS) database (https://nwis.waterdata.usgs.gov/usa/nwis/peak) and contain annual peak flows ending in water year 2011. The annual peak flows were used in version 7.0 of USGS software PeakFQ (https://water.usgs.gov/software/PeakFQ/; Veilleux and others, 2014; Flynn and others, 2006) to conduct flood-frequency analyses using the Expected Moments...
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This data release includes field measurements of flow velocity and optical image sequences used to derive remotely sensed estimates of surface flow velocities via particle image velocimetry (PIV) from two rivers in Alaska. These data were acquired from the Salcha River on August 31, 2018, and the Tanana River on July 24, 2019. The purpose of this study was to assess the feasibility of inferring flow velocities from optical image sequences acquired from a helicopter hovering above each river by tracking water surface features via various PIV algorithms and to develop a modular workflow for performing this type of analysis. Remote sensing of flow velocity could provide a more efficient, cost-effective alternative...
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This data release consists of a video and individual image frames extracted from the original high frame rate video and used to derive remotely sensed estimates of surface flow velocity via particle image velocimetry (PIV). These data were acquired from the Tanana River near Nenana, Alaska, on July 14, 2020. The video was obtained from a satellite operated by Planet Labs as part of the SkySat constellation. The original video was recorded at 30 frames per second and is provided in a compressed, lower-resolution .mp4 format video file for viewing. In addition, Planet Labs provided the individual frames comprising the video as full resolution TIFF images. This data release consists of individual frames extracted...
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To support an investigation of the feasibility of measuring river bathymetry using remotely sensed data acquired from a small unmanned aircraft system (sUAS), remotely sensed bathymetry and field measurements were collected from two cross-sections on the Colorado River near Parshall, CO on June 13, 2019. This parent data release includes links to child pages for the following data sets: 1) Lidar data used for mapping channel bathymetry (depth), acquired with a novel instrument that was developed by ASTRALiTe to distinguish between returns from the water surface and riverbed based on the polarization of laser pulses. 2) Field-based wading surveys of bed topography used to evaluate the bathymetric mapping capabilities...
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Field measurements of flow depth and velocity and river discharge were collected from two cross-sections on the Blue River in Colorado using an acoustic Doppler current profiler (ADCP). These data were used to assess the accuracy of surface flow velocities inferred from thermal image time series, acquired from an unmanned aircraft system (UAS), via particle image velocimetry (PIV). These data sets were collected to support research focused on developing innovative methods for non-contact measurement of river discharge based on various forms of remotely sensed data. The ADCP data were collected with a SonTek RiverSurveyor S5 mounted on a hydroboard towed behind an inflatable kayak. Four passes were made across...
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"NewEngland_pkflows.txt" contains annual peak-flow data for 186 selected streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in the New England region (Maine, Connecticut, Massachusetts, Rhode Island, New York, New Hampshire, and Vermont). Only streamgages in the region that were also in the USGS "GAGES II" database (https://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml) were considered for use in the study. The annual peak-flow data were obtained from the USGS National Water Information System (NWIS) database (https://nwis.waterdata.usgs.gov/usa/nwis/peak) and contain annual peak flows ending in water year 2011. The annual peak flows were used in version 7.0 of...
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Optimal hydrograph separation (OHS) is a two-component, hydrograph separation method that uses a two-parameter, recursive digital filter (RDF) constrained via chemical mass balance to estimate the base flow contribution to a stream or river (Rimmer and Hartman, 2014; Raffensperger et al., 2017). A recursive digital filter distinguishes between high-frequency and low-frequency discharge data within a hydrograph, where high-frequency data corresponds to quick flow or storms and low-frequency data corresponds to base flow. The two parameters within the RDF are alpha and beta, both are unitless. Alpha is defined as the recession constant and typically found through recession analysis. For the purposes of this data release...
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This data release includes field measurements and remotely sensed data from two reaches of the Buffalo National River in northern Arkansas acquired in August and September of 2021 to support research on remote sensing of benthic algae from aerial photographs and satellite images. This landing page has links to child items where each type of data can be accessed: Field measurements of water depth and percent cover of benthic algae acquired August 24-25, 2021. This ground-based data set was used to calibrate spectrally based models for inferring water depths from passive optical image data, assess the accuracy of image-derived depth estimates, and train classifications of benthic algal coverage. Digital aerial photographs...
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The Geospatial Fabric version 1.1 (GFv1.1 or v1_1) is a dataset of spatial modeling units covering the conterminous United States (CONUS) and most major river basins that flow in from Canada. The GFv1.1 is an update to the original Geospatial Fabric (GFv1, Viger and Bock, 2014) for the National Hydrologic Modeling (NHM). Analogous to the GFv1, the GFv1.1 described here includes the following vector feature classes: points of interest (POIs_v1_1), a stream network (nsegment_v1_1), and hydrologic response units (nhru_v1_1), with several additional ancillary tables. These data are contained within the Environmental Systems Research Institute (ESRI) geodatabase format (GFv1.1.gdb).
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The Transboundary Geospatial Fabric (TGF) is a dataset of spatial modeling units consistent with the Geospatial Fabric for National Hydrologic Modeling (abbreviated within this document as GFv1, Viger and Bock, 2014). These features were derived from National Hydrography Dataset Plus High Resolution data (NHDPlus HR, U.S. Geological Survey [USGS], 2018) in the following conterminous United States (CONUS) - Canada transboundary four-digit Hydrologic Units (HUC4): 0101, 0105, 0108, 0901, 0902, 0903, 0904, 1005, 1006, 1701, 1702, and 1711. The data described here include the following vector feature classes: points of interest (POIs), a stream network (nsegment), major waterbodies (waterbodies), and hydrologic response...
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Field-based real-time kinematic (RTK) GNSS surveys of water surface elevation and channel bed topography were collected along the Blue River, focusing on two cross-sections from which remotely sensed data were obtained. These data were used to assess the accuracy of river bed elevations inferred from the ASTRALiTe bathymetric lidar, acquired from an unmanned aircraft system (UAS). These data sets were collected to support research focused on developing innovative methods for non-contact measurement of river discharge based on various forms of remotely sensed data. The RTK GNSS surveys were performed using a local base station and Trimble R8 and R10 receivers while wading the channel at each cross-section. Additional...
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The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system on the Blue River just upstream of its confluence with the Colorado River near Kremmling, Colorado, on October 18, 2018. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Blue River. This data release includes data delivered to the USGS by...
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To suport an investigation of the feasibility of measuring river discharge using remotely sensed data acquired from an unmanned aircraft system (UAS), several types of remotely sensed data and field measurements were collected from two cross-sections on the Blue River in Colorado, just upstream of its confluence with the upper Colorado River, on October 18, 2018. This parent data release includes links to child pages for the following data sets: 1) Lidar data used for mapping channel bathymetry (depth), acquired with a novel instrument that was developed by ASTRALiTe to distinguish between returns from the water surface and riverbed based on the polarization of laser pulses. 2) Thermal image time series used to...
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This data release contains annual peak-flow data through the 2013 water year, specification and output files from flood-frequency analysis of the annual peak-flow data in USGS PeakFQ software, a GIS shapefile of the basin polygons with attributes of site information, basin characteristics, results of flood-frequency analysis, and results of B-WLS/B-GLS analysis of skewness of the annual peak flows from 183 streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in parts of hydrologic unit 02 in eastern New York and Pennsylvania and the surrounding states of Connecticut, Maryland, Massachusetts, New Jersey, Vermont, Virginia, West Virginia. Also included is a comma-separated values...
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This data release includes field spectra, UAS-based RGB videos, and digital orthophotography acquired from a manned fixed-wing aircraft, as well as in situ measurements of turbidity and Rhodamine WT dye concentration acquired during a tracer experiment performed on the Missouri River near Columbia, Missouri, on May 5, 2021. One of the primary goals of this tracer experiment was to assess the feasibility of inferring concentrations of a visible dye (Rhodamine WT) from various types of remotely sensed data in a large, highly turbid natural river channel. Previous research on remote sensing of tracer dye concentrations has focused on clear-flowing streams, but the Missouri River is much more turbid. As a result,...


map background search result map search result map Base flow estimation via optimal hydrograph separation at CONUS watersheds and comparison to the National Hydrologic Model - Precipitation-Runoff Modeling System by HRU calibrated version UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Bathymetric lidar data from the Blue River, Colorado, October 18, 2018 Wading surveys of bed topography and water depth from the Blue River, Colorado, October 18, 2018 Acoustic Doppler current profiler (ADCP) measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Annual peak-flow data and PeakFQ output files for selected streamflow gaging stations operated by the U.S. Geological Survey in the New England region that were used to estimate regional skewness of annual peak flows PeakFQ output files for selected streamflow gaging stations operated by the U.S. Geological Survey in the New England region that were used to estimate regional skewness of annual peak flows Peak-flow files for 186 selected streamflow gaging stations operated by the U.S. Geological Survey in the New England region that were used to estimate regional skewness of annual peak flows Bathymetric Survey of the Ichilo and Sajta Rivers, near Puerto Villarroel, Bolivia, May 23-24, 2019 GIS Features of the Transboundary Geospatial Fabric (TGF) UAS-based remotely sensed bathymetry and field measurements from the Colorado River, near Parshall Colorado, June 13, 2019 GIS Features of the Geospatial Fabric for the National Hydrologic Model, version 1.1 Field measurements of flow velocity and optical image sequences acquired from the Salcha and Tanana Rivers in Alaska in 2018 and 2019 and used for particle image velocimetry (PIV) Basin polygons and characteristics, site information, results of flood-frequency analysis, and results of Bayesian weighted least-squares / Bayesian generalized least-squares (B-WLS/B-GLS) analysis for 183 streamgages operated by the U.S. Geological Survey in parts of hydrologic unit 02 in eastern New York and Pennsylvania and the surrounding states of Connecticut, Maryland, Massachusetts, New Jersey, Vermont, Virginia, and West Virginia Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Satellite video and individual image frames from the Tanana River, Alaska, July 14, 2020, for Particle Image Velocimetry Regional flood skew for parts of the mid-Atlantic region (hydrologic unit 02) in eastern New York and Pennsylvania Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 Remotely sensed data and field measurements for mapping visible dye concentrations during a tracer experiment on the Missouri River near Columbia, MO, May 5, 2021 Remotely sensed data and field measurements of water depth and percent cover of benthic algae from two reaches of the Buffalo National River in Arkansas acquired in August and September 2021 UAS-based remotely sensed bathymetry and field measurements from the Colorado River, near Parshall Colorado, June 13, 2019 UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Bathymetric lidar data from the Blue River, Colorado, October 18, 2018 Acoustic Doppler current profiler (ADCP) measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Wading surveys of bed topography and water depth from the Blue River, Colorado, October 18, 2018 Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019 Satellite video and individual image frames from the Tanana River, Alaska, July 14, 2020, for Particle Image Velocimetry Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 Bathymetric Survey of the Ichilo and Sajta Rivers, near Puerto Villarroel, Bolivia, May 23-24, 2019 Remotely sensed data and field measurements for mapping visible dye concentrations during a tracer experiment on the Missouri River near Columbia, MO, May 5, 2021 Field measurements of flow velocity and optical image sequences acquired from the Salcha and Tanana Rivers in Alaska in 2018 and 2019 and used for particle image velocimetry (PIV) Regional flood skew for parts of the mid-Atlantic region (hydrologic unit 02) in eastern New York and Pennsylvania Annual peak-flow data and PeakFQ output files for selected streamflow gaging stations operated by the U.S. Geological Survey in the New England region that were used to estimate regional skewness of annual peak flows PeakFQ output files for selected streamflow gaging stations operated by the U.S. Geological Survey in the New England region that were used to estimate regional skewness of annual peak flows Peak-flow files for 186 selected streamflow gaging stations operated by the U.S. Geological Survey in the New England region that were used to estimate regional skewness of annual peak flows Basin polygons and characteristics, site information, results of flood-frequency analysis, and results of Bayesian weighted least-squares / Bayesian generalized least-squares (B-WLS/B-GLS) analysis for 183 streamgages operated by the U.S. Geological Survey in parts of hydrologic unit 02 in eastern New York and Pennsylvania and the surrounding states of Connecticut, Maryland, Massachusetts, New Jersey, Vermont, Virginia, and West Virginia GIS Features of the Transboundary Geospatial Fabric (TGF) Base flow estimation via optimal hydrograph separation at CONUS watersheds and comparison to the National Hydrologic Model - Precipitation-Runoff Modeling System by HRU calibrated version GIS Features of the Geospatial Fabric for the National Hydrologic Model, version 1.1