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The surface disturbance footprint raster data set quantifies the percent surface disturbance from development at a 90-meter resolution. The surface disturbance footprint is used to compute a multiscale index of landscape intactness for the Bureau of Land Management’s (BLM) landscape approach. The surface disturbance footprint is mapped for the western United States (17 states), by compiling and combining spatial data for four development disturbance variable classes. Development classes include urban land cover (impervious surface), agriculture (cropland), energy and mineral extraction and transport (oil and gas wells, solar arrays, wind turbines, surface mines, pipelines, and transmission lines), and transportation...
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This tabular data set represents the percent of land cover classes from the 2014 Crop land Data Layer compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "2014 Crop Land Data Layer" produced by the United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS, 2015). Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes...
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Groundwater-quality data collected between 1993 and 2015 were compiled from the U.S. Geological Survey (USGS) National Water Information System (NWIS) database for 722 wells in the San Joaquin Valley (SJV). Groundwater-quality data retrieved included lab analyses of complete major ion data (calcium, magnesium, sodium, potassium, chloride, sulfate, nitrate, alkalinity, bicarbonate, carbonate, silica, and TDS) for 613 samples, and an additional 109 samples with measured values of specific conductance. Most of these wells were sampled as part of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project or the USGS National Water Quality Assessment (NAWQA) Program. In addition...
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84...
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The Fox River transports elevated loads of nitrogen and phosphorus to Lake Michigan. The increased concentration of N and P causes eutrophication of the lake, creating hypoxic zones and damaging the lake ecosystem.To decrease loading, best management practices (BMPs) have been implemented in the uplands of the basin. Little work has been done, however, to reduce nutrient concentrations in the river. Rivers are capable of removing nutrients through biotic uptake and sediment burial and are able to remove N through denitrification. Identifying and managing these locations of increased nutrient cycling known as “hot spots” may be another mechanism for nutrient mitigation.Our objective was to identify hot spots of N...
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This data release provides preliminary estimates of annual agricultural use of pesticide compounds in counties of the conterminous United States, for the year 2019, compiled by means of methods described in Thelin and Stone (2013) and Baker and Stone (2015). For all States except California, U.S. Department of Agriculture county-level data for harvested-crop acreage were used in conjunction with proprietary Crop Reporting District-level pesticide-use data to estimate county-level pesticide use. Where Crop Reporting District data were not available or were incomplete, estimated pesticide-use values were calculated with two different methods, resulting in a low and a high estimate based on different assumptions about...
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Here we provide information for the DESIS and PRISMA Derived Spectral Library of Agricultural Crops in California which was developed using DESIS and PRISMA hyperspectral data acquired for 2020. The DESIS images used for this dataset are available through the German Aerospace Center and Teledyne Brown (2022). PRISMA images are available through the Italian Space Agency (ASI) (2022). The crop type data and confidence layer for the year 2020 can be accessed through the USDA National Agricultural Statistics Service (2022). The DESIS and PRISMA Derived Spectral Library of Agricultural Crops dataset characteristics are described below, with DESIS and PRISMA data provided in two separate CSV files. Related Primary Publication:...
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The U.S. Geological Survey (USGS) National Water Quality Network - Rivers and Streams (NWQN) is comprised of 110 surface-water monitoring sites designed to track ambient water-quality conditions across the nation. Although numerous constituents, including pesticides, have been collected at many of these sites since 1991, glyphosate and its metabolite aminomethylphosphonic acid (AMPA) were not routinely measured in NWQN water samples prior to 2014. Because of the widespread use of glyphosate for agricultural and nonagricultural applications, in 2014, these two compounds were added to the NWQN. This dataset includes concentrations of glyphosate and AMPA from water samples collected from 2015 through 2017 at 70 NWQN...
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This posting contains the source climate data used to run the SWAT model in the Tuckahoe and Greensboro subwatersheds of the Choptank River watershed, Maryland.
Categories: Data; Types: Citation; Tags: Choptank, agriculture, water quality
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Twenty-eight sites that consisted of either predominantly agricultural land in the watershed, predominantly agricultural land in the watershed with natural land cover in the riparian zone, or predominantly natural land cover in the watershed were sampled three times during the growing season.
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Mendenhall and others (1916) published depth-to-water data compiled in 1910 for all known wells in the San Joaquin Valley, California. Data for the 3,429 wells having depth-to-water of greater than zero feet were used to construct an interpolated depth-to-water surface for the entire SJV. This map represents groundwater levels in approximately 1910, prior to extensive development of the groundwater system. A depth-to-water contour map with contour lines of 5, 10, 15, and 25 meters below land surface was then drawn from this raster surface.
This data release includes sampling location data, field-collected wetland attribute data, field-collected water chemistry data, laboratory-processed water chemistry data (anions, cations, alkalinity, nutrients, chlorophyll a concentrations, dissolved organic carbon, and specific ultraviolet absorbance, pesticide concentrations), dry mass of adult aquatic insects emerging from the surface of the wetlands, taxonomic classifications of the insects collected, and whole-body pesticide concentrations for adult aquatic insects emerging from wadeable wetlands in cropland and grassland landscapes across a salinity/hydrology gradient (N = 14 wetlands in 2015, N = 15 wetlands in 2016). Sampling was completed in late spring,...
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U. S. Geological Survey (USGS) scientists completed a stream surveying campaign from the 26th of July to the 13th of August in 2021 at thirty 100m reaches within the Shenandoah Valley throughout Virginia and West Virginia. The goal was to collect three cross sections, water surface elevation at the top and bottom of each reach, and thalweg point data at each study location to use the geomorphological surveys alongside habitat information. Together, these two sources of data can be used to create a habitat assessment of Shenandoah Valley streams. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
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This data release includes sampling location identification and timing data as well as plant and insect pollinator taxonomic information in Conservation Reserve Program fields. Sampling took place during July and August of 2019. Fields were located on private land managed for the U.S.Department of Agriculture Conservation Reserve Program in eastern central Iowa, U.S.A.
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This section of the data release supports the data used in models for the associated publication. The U.S. Geological Survey and the University of Wisconsin – Green Bay collected hydrologic and water-quality data to assess the effectiveness of agricultural conservation management practice (CMP) implementation at Mainstem Plum Creek (USGS site ID: 04084911) and West Plum Creek (USGS site ID: 04084927) in northeastern Wisconsin. Monitoring data from 2010–2020 at Mainstem Plum and 2013–2020 at West Plum were used to detect changes in hydrologic and water-quality responses during runoff events. Runoff events were defined by hydrographers and used to compute event loads and event flow-weighted mean concentrations of...
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For about 10 years, the U.S. Geological Survey (USGS) has monitored water quality and streamflow in three agricultural drainage ditches in an effort to evaluate the influence of best management practices on water quality. These ditches are small tributaries to oxbow lakes located in the Mississippi Alluvial Plain of northwestern Mississippi--two sites (LWSR and LWT2) drain to Lake Washington and one site (BLT1) drains to Bee Lake. Streamflow was intermittent at these sites and the ditches were dry much of the year. When streamflow was present, flows were measured on 15-minute intervals and water-quality samples were collected over the course of the flow event using an automated sampler. These datasets were aggregated...
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The "Broad-scale assessment of biophysical features in Colorado: Terrestrial development index using 5-kilometer moving window" raster dataset quantifies levels of development (urban, agriculture, energy and mineral extraction and transmission, and roads and railroads) for all lands in Colorado. The terrestrial development index (TDI) represents the total percentage of the estimated surface disturbance footprint from development within a 5-kilometer (km) radius moving window. The TDI scores range from 0 to 100 percent. Methods are described in the companion report (see "Larger Work" section).
This spreadsheet dataset (.csv file) contains annual land-use and land cover area in square kilometers (km2) by scenario, timestep, WEAP hydrologic zone, and 4 sub-regions within the broader California Central Valley, modeled using the LUCAS ST-Sim for the period 2011-2101 across 5 future scenarios. Four of the scenarios were developed as part of the Central Valley Landscape Conservation Project. The 4 original scenarios include a Bad-Business-As-Usual (BBAU; high water, poor management), California Dreamin’ (DREAM; high water availability, good management), Central Valley Dustbowl (DUST; low water availability, poor management), and Everyone Equally Miserable (EEM; low water availability, good management). These...
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The Terrestrial Development Index (TDI) quantifies levels of development (urban, agriculture, energy and mineral extraction and transmission, and transportation). TDI scores represent the total percentage of the development footprint within a 2.5 kilometer (km) radius circular moving window. The TDI scores range from 0-100%. The TDI scores between 0-1% represent areas with few roads or a very low density of oil and gas wells. The TDI scores between 1-3% often include low densities of oil and gas wells and roads, whereas development index scores above 3% represent moderate to high levels of development, including relatively large oil and gas fields, surface mines, agricultural fields, centers of urban development,...
To accurately estimate agricultural water use or to project future water demands, a detailed inventory of current irrigated crop acreage is needed at a high level of resolution. In many Florida counties this kind of detailed high-resolution inventory is not available. A detailed digital map and summary of irrigated acreage during the 2015 growing season was developed for 13 of the 15 counties that compose the Suwannee River Water Management District. The irrigated areas were delineated using land-use data, orthoimagery, water management district consumptive water-use permits, and digitized agricultural landuse maps developed by the Florida Department of Agriculture and Consumer Services, Florida Statewide Agricultural...


map background search result map search result map Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Routed Upstream Watersheds for the Conterminous United States: Crop Land Data Layer 2014 Surface Disturbance Footprint from Development for the Western United States Terrestrial Development Index for the Western United States: 2.5-kilometer moving window Modern groundwater-quality, depth, and well-construction data for selected wells in the San Joaquin Valley, California, 1993-2015 Historic Depth-to-Water, San Joaquin Valley, California, 1910 Baseline Climate Data, 2001-2014 Choptank River, MD Hydrologic event-based water-quality and streamflow data for three oxbow tributaries in northwestern Mississippi, 2007-2016 Broad-scale assessment of biophysical features in Colorado: Terrestrial development index using 5-kilometer moving window Great Lakes Restoration Initiative Project 49 Fox River Basin 2016 and 2017 Data Glyphosate and aminomethylphosphonic acid (AMPA) in National Water Quality Network Streams and Rivers in the U.S., Water Years 2015-2017 Low-altitude visible and multispectral imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Ohio Surface Water 1 Great Lakes Restoration Initiative: Fox River Basin 2018 Data Preliminary estimated annual agricultural pesticide use for counties of the conterminous United States, 2019 Adult aquatic insect emergence, insect pesticide concentrations and water chemistry of wetlands in the Prairie Pothole Region, North Dakota, USA, 2015-16 State Class Spreadsheet (Area of Land in Each Class per Year, per Scenario) DESIS and PRISMA spectral library of agricultural crops in California's Central Valley in the 2020 Growing Season Shenandoah Valley Stream Survey (2021) Data Release: Water Quality and Estimated Changes in the Plum Creek Watershed 2010-2020 Plant and insect pollinator diversity data from Conservation Reserve Program fields across an agricultural gradient in eastern Iowa Low-altitude visible and multispectral imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Ohio Surface Water 1 Data Release: Water Quality and Estimated Changes in the Plum Creek Watershed 2010-2020 DESIS and PRISMA spectral library of agricultural crops in California's Central Valley in the 2020 Growing Season Baseline Climate Data, 2001-2014 Choptank River, MD Hydrologic event-based water-quality and streamflow data for three oxbow tributaries in northwestern Mississippi, 2007-2016 Great Lakes Restoration Initiative: Fox River Basin 2018 Data Shenandoah Valley Stream Survey (2021) Plant and insect pollinator diversity data from Conservation Reserve Program fields across an agricultural gradient in eastern Iowa Great Lakes Restoration Initiative Project 49 Fox River Basin 2016 and 2017 Data Modern groundwater-quality, depth, and well-construction data for selected wells in the San Joaquin Valley, California, 1993-2015 Historic Depth-to-Water, San Joaquin Valley, California, 1910 Broad-scale assessment of biophysical features in Colorado: Terrestrial development index using 5-kilometer moving window State Class Spreadsheet (Area of Land in Each Class per Year, per Scenario) Surface Disturbance Footprint from Development for the Western United States Terrestrial Development Index for the Western United States: 2.5-kilometer moving window Preliminary estimated annual agricultural pesticide use for counties of the conterminous United States, 2019 Glyphosate and aminomethylphosphonic acid (AMPA) in National Water Quality Network Streams and Rivers in the U.S., Water Years 2015-2017 Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Routed Upstream Watersheds for the Conterminous United States: Crop Land Data Layer 2014