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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...
Categories: Data;
Types: Citation;
Tags: CDL,
Catchment,
Conterminous United States,
Crop Land Data Layer,
CropScape,
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...
Categories: Data;
Tags: Great Lakes,
Hancock County,
Ohio,
USGS Science Data Catalog (SDC),
Water Resources,
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...
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:...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
Land Use Change,
Remote Sensing,
USGS Science Data Catalog (SDC),
agriculture,
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...
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.
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,...
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.
Categories: Data;
Tags: Conservation Reserve Program,
Environmental Health,
Iowa,
Land Use Change,
USGS Science Data Catalog (SDC),
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Lake Michigan,
Wisconsin,
agriculture,
erosion,
nutrient content (water),
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...
Categories: Data;
Tags: California,
California Valley,
agriculture,
boundaries,
climatologyMeteorologyAtmosphere,
These tabular data are summaries of land use/land cover related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as land use/land cover related contain all land use and land cover data including datasets that are split off or combined from those data (eg. agriculture or impervious classes only datasets). Outputs consist of tabular comma-separated values files (CSVs) for both the local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. Network accumulation summaries were...
This product provides tabular data from the U.S. Department of Agriculture (USDA) Census of Agriculture for selected items for the period 1950-2017 for counties in the conterminous United States. Data from 1950-2012 are taken from LaMotte (2015) and 2017 data are retrieved from the USDA QuickStats online tool. Data which are withheld in the Census of Agriculture are filled with estimates. The data include crop production values for 12 commodities (for example, corn in bushels), land use values for 7 land use types (for example, acres of total cropland), and 9 values for livestock types (for example, number of hogs and pigs). The data are largely intended as a 2017 update to the LaMotte dataset for items of research...
This dataset consists of a series of 1-kilometer rasters which provide a mapping of the estimated use of 101 agricultural pesticide compounds for the conterminous United States. Each compound is mapped annually for the years 2013 through 2017, thus there are 505 rasters posted (101 compounds x 5 years). The datasets were created by taking previously-published county-level estimates of kilograms of agricultural pesticide use, then allocating them to agricultural pixels from the 2016 National Land Cover Database, aggregated to 1-kilometer spatial resolution.
Categories: Data;
Tags: Agriculture,
Conterminous U.S.,
Dasymetric mapping,
Land use,
National Land Cover Database,
Here we provide information for the PlanetScope and d Deutsches Zentrum fur Luft- und Raumfahrt (DLR) Earth Sensing Imaging Spectrometer (DESIS) Derived Spectral Library of Agricultural Crops in California which was developed using PlanetScope Dove-R high spatial resolution data and DESIS hyperspectral data acquired for 2020. PlanetScope images are available through Planet Labs (2022). The DESIS images used for this dataset are available through the German Aerospace Center and Teledyne Brown (2022). The crop type data and confidence layer for 2020 can be accessed through the United States Department of Agriculture National Agricultural Statistics Service (2022). The PlanetScope and DESIS Derived Spectral Library...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
Land Use Change,
Remote Sensing,
USGS Science Data Catalog (SDC),
United States,
This dataset represents a summary of potential cropland inundation for the state of California applying high-frequency surface water map composites derived from two satellite remote sensing platforms (Landsat and Moderate Resolution Imaging Spectroradiometer [MODIS]) with high-quality cropland maps generated by the California Department of Water Resources (DWR). Using Google Earth Engine, we examined inundation dynamics in California croplands from 2003 –2020 by intersecting monthly surface water maps (n=216 months) with mapped locations of precipitation amounts, rice, field, truck (which comprises truck, nursery, and berry crops), deciduous (deciduous fruits and nuts), citrus (citrus and subtropical), vineyards,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: California,
Geography,
Hydrology,
Landsat,
MODIS,
These data represents annual estimates of neonicotinoid nitroguanidine group insecticide application rates across the western conterminous United States from 2008 to 2014. This product contains seven raster layers (appearing as separate bands in a multi-band raster). Each band represents one year of the data beginning in 2008. Estimates are generated by pairing crop specific application rates of neonicotinoids with fine scale crop data obtained from the CropScape cropland data layer. Application units are kilograms per hectare. Further details on the methods used to generate this product are described in: Douglas, M.R., Baisley, P., Soba, S., Kammerer, M., Lonsdorf, E.V. and Grozinger, C.M., 2022. Putting pesticides...
USGS personnel surveyed bumble bees and flowering plants on private and public lands in Central Montana. These data provide a summary of what was found, including the number of bumble bees caught during standardized netting surveys and a comprehensive list of all plants in flower within survey plots during each site visit.
Categories: Data;
Tags: Botany,
Ecology,
Montana,
USGS Science Data Catalog (SDC),
Wildlife Biology,
These five datasets document 1. physical and chemical soil properties for mesocosm soil that was collected from an experimental vegetated buffer strip plot; 2. Corrected final data for veterinary antibiotic target compound residues in treated soil mesocosms at various incubation times; 3. Corrected final data for all veterinary antibiotic target compound residues in untreated soil mesocosm blank samples at various incubation times; 4. Corrected final data for estrogen target compound residues in treated soil mesocosms at various incubation times; and 5. Corrected final data for all estrogen target compound residues in untreated soil mesocosm blank samples at various incubation times.
Categories: Data;
Tags: Boone County, Missouri,
Environmental Health,
Lincomycin,
Soil Sciences,
USGS Science Data Catalog (SDC),
This U.S. Geological Survey (USGS) data release presents the geospatial data used to assess the hydrologic and soil resources and the potential effects from grazing, infrastructure, and land-management decisions in the Bureau of Land Management Organ Mountains-Desert Peaks National Monument, New Mexico. Publicly available and previously unpublished data were used to assess these resources and effects and to identify data gaps in the Organ Mountains-Desert Peaks National Monument area. Data created from already published data such as landform, infiltration, geology, and grazing potential coverages are also included in this data release. These data support the following publication: Blake, J.M., Mitchell, A.C.,...
This dataset consists of raster geotiff and tabular outputs of annual map projections of land use and land cover for the California Central Valley 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, good management), Central Valley Dustbowl (DUST; low water, poor management), and Everyone Equally Miserable (EEM; low water, good management). These scenarios represent alternative plausible futures, capturing a range of climate variability, land management activities, and habitat restoration...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
California Valley,
Ecology,
Land Use Change,
Land Use Change,
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