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These data represent total vegetation and surface water along approximately 12 kilometers of the Paria River upstream from the confluence of the Colorado River at Lees Ferry, Arizona. They are derived from airborne, multispectral imagery obtained in late May 2009, 2013, and 2021, collected with a push-broom sensor with 4 spectral bands depicting Blue, Green, Red and Near-Infrared wavelengths at a spatial resolution of 20 centimeters. The vegetation classification data were created using a supervised classification algorithm provided by Harris Geospatial in ENVI version 5.6.3 (Exelis Visual Information Solutions, Boulder, Colorado). The water data were created using a Green Normalized Difference Vegetation Index...
Tags: Arizona, Botany, Cloud Optimized GeoTIFF data, Colorado River, Ecology, All tags...
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This data release contains three 10-meter resolution GeoTIFFs representing 10-meter (35-foot), 30-meter (100-foot) and 90-meter (300-foot) riparian buffer zones along shorelines, rivers, streams, and other lotic (flowing) water features. The layers are binary, where the value of each cell represents the presence or absence of the buffer zone. In addition, the data release contains shapefile layers that document the extent of corrections that were made to the data to address errors in the stream network (see processing steps section for more details). The methodology combines various fine-scale input layers, including a 1:24k stream network and Chesapeake Bay 1-meter resolution Land Use/Land Cover to approximate...
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This dataset includes otolith and water chemistry used for determining natal origins of individuals from six species. The dataset contains Sr:Ca and Ba:Ca of water samples for the Mississippi River and tributaries as well as otolith Sr, Ba, Mg values from fishes collected in navigation pools 4, 8, 13, and 26 of the Upper Mississippi River, as well as the Open River Reach of the Middle Mississippi River and the La Grange Pool of the Illinois River. Fishes included Bullhead Minnow, Emerald Shiner, Gizzard Shad, Bluegill, Orangespotted Sunfish, and Yellow Perch. Laser ablation inductively coupled mass spectrometry to quantify natal origins of these prey fish. Upwards of 50-75% of individuals at a given river reach...
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These data were compiled to predict economic impacts to angling in Glen Canyon and whitewater rafting in Grand Canyon. The objective of our study was to estimate recreation impacts, or changes in consumer surplus, under different future Interim Guidelines sEIS and LTEMP sEIS alternatives. These data include monthly impacts in nominal 2022 dollars. These data were created for operations at Glen Canyon Dam for October 2023 through November 2027. These data were created by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center using mathematical modeling methods.
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Peak-flow frequency analysis is crucial in various water-resources management applications, including floodplain management and critical structure design. Federal guidelines for peak-flow frequency analyses, provided in Bulletin 17C, assume that the statistical properties of the hydrologic processes driving variability in peak flows do not change over time and so the frequency distribution of annual peak flows is stationary. Better understanding of long-term climatic persistence and further consideration of potential climate and land-use changes have caused the assumption of stationarity to be reexamined. This data release contains input data and results of a study investigating hydroclimatic trends in peak streamflow...
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The USGS, in cooperation with the U.S. Bureau of Land Management (BLM), created a series of geospatial mapping products of the Scotts Creek Watershed in Lake County, California, using National Agriculture Imagery Program (NAIP) imagery from 2018, 2020 and 2022 and Open Street Map (OSM) from 2019. The imagery was downloaded from United States Department of Agriculture (USDA) - Natural Resources Conservation Service (NRCS) Geospatial Data Gateway (https://datagateway.nrcs.usda.gov/) and Geofabrik GmbH - Open Street Map (https://www.geofabrik.de/geofabrik/openstreetmap.html), respectively. The imagery was classified using Random Forest (RF) Modeling to produce land cover maps with three main classifications - bare,...
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The USGS, in cooperation with the U.S. Bureau of Land Management (BLM), created a series of geospatial products of the Scotts Creek Watershed in Lake County, California, using National Agriculture Imagery Program (NAIP) imagery from 2018, 2020 and 2022. The imagery was downloaded from United States Department of Agriculture (USDA) - Natural Resources Conservation Service (NRCS) Geospatial Data Gateway (https://datagateway.nrcs.usda.gov). The NAIP imagery from 2018, 2020 and 2022 was classified using Random Forest Modeling to produce land cover maps with three main classifications – bare, vegetation, and shadows. A total of 600 independent reference points were used in the accuracy assessment. The overall accuracy...
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The U.S. Geological Survey is monitoring metal concentrations in streambed sediment pre- and post-dam removal in the lower Klamath River basin. Concentrations of aluminum, arsenic, cadmium, cobalt, chromium, copper, iron, potassium, magnesium, manganese, nickel, lead, titanium, vanadium and zinc were sampled at 10 mainstem sites, four tributaries and two reservoirs. Mainstem and tributary collections occurred once annually in 2018, 2019, 2021 and 2022. Reservoir sediment samples (Copco and Iron Gate) were collected in 2020.
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These data were compiled to evaluate impacts of different reservoir management scenarios on sand exposure for aeolian landscape and cultural site resources. Objective of our study was to predict areas of dry, bare Colorado River sand as a function of different management alternative scenarios. These data represent predictions of dry, bare sand for the reach of the Colorado River between Glen Canyon Dam and Bright Angel Creek in Grand Canyon National Park. These data were created during 2023 by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center. These data can be used to understand how the area of sand available for windblown transport might be impacted different...
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In support of a preliminary analysis performed by New York State Department of Environmental Conservation (NYSDEC) that found elevated nutrient levels along selected reaches of the Mohawk River, one-dimensional, unsteady, hydraulic and water-quality models using HEC-RAS and HEC-RAS Nutrient Simulation Module I (version 5.0.3) were developed by the U.S. Geological Survey (USGS) for the 127-mile reach of the Mohawk River between Rome and Cohoes, New York. The models were designed to accurately simulate within-channel flow conditions for this highly regulated, control structure dense river reach. The models were calibrated for the study period of May through September 2016 using best available streamflow, temperature,...
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These data were compiled to predict hourly Glen Canyon Dam operations and hydropower impacts. The objective of our study was to estimate hydropower impacts under different future LTEMP sEIS alternatives. These data represent hourly outflow in cubic feet per second, generation in megawatt hours, and economic value of hydropower in nominal dollars. These data were created for operations at Glen Canyon Dam for October 2023 through November 2027. These data were created by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Cetner using mathematical modeling methods.
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This dataset contains spatial datasets of topographic and bathymetric survey data in addition to data table the shapefile data collected at the 3 focal areas of research included in the Sustainable Rivers Program (SRP) in the Allegheny River that were collected and processed in collaboration with US Army Corps of Engineers (USACE). The dataset is a combination of terrestrial topographic and bathymetry data measured by Trimble R10 Model 2 GNSS survey equipment or a FlowTracker2 Acoustic Doppler Velocimeter (ADV). The FlowTracker2 was used for flow measurements and water depth and spatial location of each flow measurement point were used to calculate river bottom bathymetry at those locations. Additionally, National...
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From October 2017 through September 2022, the National Water Quality Network (NWQN) monitored 110 surface-water river and stream sites and more than 1,800 groundwater wells for a large number of water-quality analytes, for which associated quality-control data and corresponding statistical summaries are included in this data release. The quality-control data—for samples that were collected in the field (at all 110 surface-water sites, 350 groundwater wells, and 16 quality-control-only sites), prepared in the laboratory, or prepared by a third party—can be used to assess the quality of environmental data collected by the NWQN through the estimation of bias and variability in reported results. The general analyte...
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The dataset contains long-term and short-term summaries of streamflow alteration and measures of biological condition (fish multi-metric index). Streamflow alteration metrics include the magnitude, duration, frequency, and seasonality of high and low flow streamflow. Biological condition was estimated from the National Rivers and Streams Assessment and National Water Quality Assessment fish sampling programs. Using fish samples, a fish multi-metric index was calculated and categorized into altered versus non-altered fish communities.
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From 20 May - 8 June 2021, a Virginia Tech team of 2-3 sampled the macroinvertebrate community in 30 Shenandoah Valley streams (Virginia and West Virginia, USA) as part of a larger stream-health study including other teams who surveyed geomorphology, water quality, flow, temperature,fish community, and fish health at the same 30 streams. The macroinvertebrate community team also characterized the habitat units sampled for macroinvertebrates. At each stream, we sampled macroinvertebrates in two ways:1) in each stream we took 5 slack samples in riffles according to NAWQA protocol, and 2) we selected the most available and productive habitat where we used the Slack sampler to collect 5 additional samples in wood debris...
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Water temperature data were collected in summer 2021 and 2023 at the confluences of Indian Creek and Duncan Springs in the Pend Oreille River. Continuously recording temperature loggers were deployed near the substratum and near the surface of the water column. This data release supersedes Mejia, F.H., Torgersen, C.E., Berntsen, E.K., and Johnsen, A., 2022, Spatial and temporal variability of summer water temperature at cool-water areas in the Pend Oreille River, Washington: U.S. Geological Survey data release, https://doi.org/10.5066/P9RZKLB0. Please contact fresc_outreach@usgs.gov for access.
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This data release supports U.S. Geological Survey Scientific Investigations Report 2023-5106, Groundwater Discharge by Evapotranspiration from the Amargosa Wild and Scenic River and Contributing Areas, Inyo and San Bernardino Counties, California. Geospatial datasets presented are two polygon shapefiles representing the groundwater discharge areas and evapotranspiration units for the Amargosa Wild and Scenic River and contributing areas, and a raster dataset representing the vegetation index corresponding to the vegetated evapotranspiration unit.
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From 2-27 June, 2023, a Virginia Tech team of 5 sampled the fish community in 30 Piedmont streams (lower Susquehanna River and upper Chesapeake Bay tributaries, Pennsylvania and Maryland, USA) spanning a gradient of agricultural intensity as part of a larger stream-health study including other teams who surveyed geomorphology, water quality, flow, temperature, and macroinvertebrates at the same 30 streams. Upstream drainage area of these 30 streams ranged from approximately 10 to 50 sq. km, and width from 2 to 10 m. At each stream, we sampled fish from two reaches using two-pass backpack electrofishing and seining. Reach A was the main reach surveyed by all the interdisciplinary teams; Reach B was surveyed for fish...


    map background search result map search result map Geospatial data for the report Groundwater Discharge by Evapotranspiration from the Amargosa Wild and Scenic River and Contributing Areas, Inyo and San Bernardino Counties, California HEC-RAS hydraulic, temperature, and nutrient models for the Mohawk River between Rome and Cohoes, New York Spatial and temporal variability of summer water temperature at cool-water areas in the Pend Oreille River, Washington (ver. 2.0, March 2024) Peak Streamflow Data, Climate Data, and Results from Investigating Hydroclimatic Trends and Climate Change Effects on Peak Streamflow in the Central United States, 1921–2020 Geospatial Dataset of Topographic and Bathymetric Survey Points collected for US Army Corps of Engineers as part of the Sustainable Rivers Program in the Allegheny River, PA downstream of the Kinzua Dam. Chesapeake Bay Watershed 1:24k 10, 30 and 90-meter Riparian Buffer Zones Vegetation and water classifications for a segment of the Paria River upstream of the Colorado River Confluence, Arizona, USA Field, laboratory, and third-party quality-control data associated with sites and analytes monitored by the USGS National Water Quality Network, October 2017 through September 2022 Macroinvertebrate communities in Shenandoah Valley streams, 2021 Data from Assessing the added value of antecedent streamflow alteration in modelling stream condition Metal concentrations in streambed sediment in the lower Klamath River basin, 2018-2022 Otolith microchemistry for determining natal origins of prey fishes in the Upper Mississippi River System Geospatial mapping products derived from 2018, 2020, and 2022 NAIP aerial imagery for the Scotts Creek Watershed, Lake County, CA Predicted hydropower impacts of different management scenarios for Lake Powell releases Land Cover Maps for the Scotts Creek Watershed, Lake County, California for 2018, 2020, and 2022 Predicted recreation economics under different management scenarios for Lake Powell releases Subaerially exposed river sand and reservoir shoreline modelling for Lake Powell releases and changes in Lake Powell and Lake Mead storage Fish communities in PA and MD Piedmont mixed agricultural streams, 2023 Spatial and temporal variability of summer water temperature at cool-water areas in the Pend Oreille River, Washington (ver. 2.0, March 2024) Geospatial Dataset of Topographic and Bathymetric Survey Points collected for US Army Corps of Engineers as part of the Sustainable Rivers Program in the Allegheny River, PA downstream of the Kinzua Dam. Vegetation and water classifications for a segment of the Paria River upstream of the Colorado River Confluence, Arizona, USA Geospatial mapping products derived from 2018, 2020, and 2022 NAIP aerial imagery for the Scotts Creek Watershed, Lake County, CA Land Cover Maps for the Scotts Creek Watershed, Lake County, California for 2018, 2020, and 2022 Fish communities in PA and MD Piedmont mixed agricultural streams, 2023 Macroinvertebrate communities in Shenandoah Valley streams, 2021 HEC-RAS hydraulic, temperature, and nutrient models for the Mohawk River between Rome and Cohoes, New York Metal concentrations in streambed sediment in the lower Klamath River basin, 2018-2022 Predicted hydropower impacts of different management scenarios for Lake Powell releases Predicted recreation economics under different management scenarios for Lake Powell releases Subaerially exposed river sand and reservoir shoreline modelling for Lake Powell releases and changes in Lake Powell and Lake Mead storage Chesapeake Bay Watershed 1:24k 10, 30 and 90-meter Riparian Buffer Zones Otolith microchemistry for determining natal origins of prey fishes in the Upper Mississippi River System Peak Streamflow Data, Climate Data, and Results from Investigating Hydroclimatic Trends and Climate Change Effects on Peak Streamflow in the Central United States, 1921–2020 Data from Assessing the added value of antecedent streamflow alteration in modelling stream condition Field, laboratory, and third-party quality-control data associated with sites and analytes monitored by the USGS National Water Quality Network, October 2017 through September 2022