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A three-dimensional groundwater flow model using MODFLOW-NWT was developed to evaluate historical and potential stream capture in the lower Humboldt River Basin, Nevada. The Humboldt River Basin is the only river basin that is contained entirely within the state of Nevada. The effect of groundwater pumping on the Humboldt River is not well understood. Tools are needed to determine stream capture and manage groundwater pumping in the Humboldt River Basin. Previous work has demonstrated that the river’s surface-water resource is sensitive to groundwater withdrawals, which have steadily increased since the 1950s for agriculture, municipal, and mining uses. A numerical groundwater flow model was developed for the purpose...
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These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy. The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2022. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.
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These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy. The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned...
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Ongoing and future climate change throughout Alaska has the potential to affect terrestrial ecosystems and the services that they provide to the people of Alaska and the nation. These services include the gathering of food and fiber by Alaskan communities, the importance of ecosystems to recreation, cultural, and spiritual activities of people in Alaska, and the way that land cover and vegetation in ecosystems affect temperature and water flow (runoff, flooding etc.) throughout the state. Assessments of the effects of climate change on these “ecosystem services” have been hindered by a lack of tools (e.g. computer models) capable of forecasting future landscapes in a changing climate while taking into account numerous...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2022. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.
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Two-dimensional variably saturated heat and flow models (VS2DH) were used to examine seepage rates along the Birdspring drainage for the purpose of exploring the drainage channel for use in an managed aquifer recharge project. Six transect models were separately calibrated to sediment temperatures observed during episodic runoff events during water year 2017 and 2018. The models were calibrated to unsteady flow conditions, then estimates of seepage losses were made for steady state conditions assuming stage conditions associated with 4 cubic feet per second of imported water. This USGS data release contains all of the input and output files for the simulations described in the associated model documentation report...
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These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy. The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned...
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These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy. The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned...
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In the United States and globally, the lack of data on contaminant exposure from unregulated private-well point-of-use (POU) tapwater (TW) is a recognized public health data gap and an obstacle to risk management and homeowner decision making. Mead, Nebraska, is an agricultural community about 30 miles west of Omaha. To help address the lack of data on broad contaminant exposures in TW sourced from private water wells, a total of 22 samples were collected from 18 private wells during June 2022 and January 2023 and analyzed for 495 organic compounds, 34 inorganic constituents, and 11 microbial groups. The organic compounds included pesticides, pharmaceuticals, volatile organic compounds (VOCs), disinfection byproducts...
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Phosphorus, nitrogen, and suspended-sediment loads, in 24 U.S. tributaries of the Great Lakes, were calculated using U.S. Geological Survey (USGS) data from the Great Lakes Restoration Initiative (GLRI) monitoring program for the period Oct 2010 through Sept 2020 (USGS water years 2011–2020). Total phosphorus, orthophosphate, particulate phosphorus, total nitrogen, nitrate plus nitrite, ammonium plus ammonia, and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment exported downstream at each tributary site....
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These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy. The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2022. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds and were estimated using the WRTDS method with Kalman filtering. To determine the trend in loads, the annual load results are...
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Streams provide water for human activities and consumption in much of the world. Streamflow is largely controlled by climate forces, therefore it is likely sensitive to climate changes. We analyzed daily air temperature (AT), precipitation (P), and stream discharge (Q) metrics for 124 watersheds in Maryland, Virginia, and North Carolina, United States, from 1981 through 2020. Spatial-raster datasets of daily P in mm were downloaded from Parameter-elevation Regressions on Independent Slopes Model (PRISM; http://prism.oregonstate.edu) on March 30, 2021, and datasets of daily AT in degrees Celsius (°C) were downloaded June 22, 2021, both at a 4-square kilometer (km2) resolution for the contiguous U.S. The final quarter...
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These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy. The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2022. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). Yields (representing the mass of constituent transported from a unit area of a given watershed) are used to compare the export loads from one basin to another. Yield results are obtained by dividing the annual load (pounds) of a given constituent by the respective...
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These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy. The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2022. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds. To determine the trend in loads, the regular annual load (non-Kalman) results are flow normalized to integrate out the year-to-year...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2022. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.
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These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy. The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned...


map background search result map search result map Development of the Alaska Integrated Ecosystem Model to Illustrate Future Landscape Change Documentation of VS2DH Seepage Models: Surface Infiltration and Unsaturated Zone Characterization in Support of Managed Aquifer Recharge, Washoe County, Nevada Burned Area Reflectance Classification Thematic Burn Severity Mosaic (ver. 7.0, April 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2018 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2019 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2020 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2021 (ver. 6.0, January 2024) Phosphorus, nitrogen, and suspended-sediment loads measured at the Great Lakes Restoration Initiative tributary monitoring network: Water years 2011–2020 Selected inputs for examining the complex relations between climate and streamflow in the Mid-Atlantic region of the United States Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2022 (ver. 6.0, January 2024) Chemical Concentrations and Microbiological Results for Assessment of Mixed-Organic/Inorganic Chemical Exposures in Tapwater in Mead, Nebraska, June 2022 and January 2023 Nitrogen, phosphorus, and suspended-sediment loads and trends measured at the Chesapeake Bay River Input Monitoring stations: Water years 1985-2022 Chesapeake Bay River Input Monitoring Network 1985-2022: Annual loads Chesapeake Bay River Input Monitoring Network 1985-2022: Monthly loads Chesapeake Bay River Input Monitoring Network 1985-2022: Average annual yields Chesapeake Bay River Input Monitoring Network 1985-2022: Short- and long-term trends Chesapeake Bay River Input Monitoring Network 1985-2022: WRTDS input data MODFLOW-NWT Model Used to Evaluate Stream Capture Related to Groundwater Pumping, Lower Humboldt River Basin, Nevada (ver. 1.1, March 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2023 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2024 (ver. 7.0, April 2024) Chemical Concentrations and Microbiological Results for Assessment of Mixed-Organic/Inorganic Chemical Exposures in Tapwater in Mead, Nebraska, June 2022 and January 2023 MODFLOW-NWT Model Used to Evaluate Stream Capture Related to Groundwater Pumping, Lower Humboldt River Basin, Nevada (ver. 1.1, March 2024) Documentation of VS2DH Seepage Models: Surface Infiltration and Unsaturated Zone Characterization in Support of Managed Aquifer Recharge, Washoe County, Nevada Nitrogen, phosphorus, and suspended-sediment loads and trends measured at the Chesapeake Bay River Input Monitoring stations: Water years 1985-2022 Chesapeake Bay River Input Monitoring Network 1985-2022: Annual loads Chesapeake Bay River Input Monitoring Network 1985-2022: Monthly loads Chesapeake Bay River Input Monitoring Network 1985-2022: Average annual yields Chesapeake Bay River Input Monitoring Network 1985-2022: Short- and long-term trends Chesapeake Bay River Input Monitoring Network 1985-2022: WRTDS input data Selected inputs for examining the complex relations between climate and streamflow in the Mid-Atlantic region of the United States Phosphorus, nitrogen, and suspended-sediment loads measured at the Great Lakes Restoration Initiative tributary monitoring network: Water years 2011–2020 Development of the Alaska Integrated Ecosystem Model to Illustrate Future Landscape Change Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2023 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2022 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic (ver. 7.0, April 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2019 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2020 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2021 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2018 (ver. 6.0, January 2024) Burned Area Reflectance Classification Thematic Burn Severity Mosaic for 2024 (ver. 7.0, April 2024)