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Pre-fire satellite derived and field calculated functional cover across Great Basin megafires Data includes satellite derived pre-fire functional group cover of annual and perennial herbaceous, shrubs, bareground and litter across four rangeland megafires in the Western US, as well as field estimated invasive annual grass measurements from the 2nd to 3rd years post-fire. Additional landscape and restoration treatment covariates hypothesized to influence post-fire invasive annual grass cover are included. Categories: Data; Tags: Artemisia tridentata, Botany, Bromus tectorum, Ecology, Great Basin, All tags... Idaho, Land Use Change, Nevada, Oregon, Poa secunda, Soil Sciences, USGS Science Data Catalog (SDC), biota, community ecology, ecology, environment, land use and land cover, lichens, mosses, vegetation, Fewer tags Interpolated groundwater-levels, western Sarpy County, eastern Nebraska This dataset is a file of contour lines representing the estimated altitude of the water table in western Sarpy County. This dataset was developed as part of a cooperative study between the Papillion-Missouri River Natural Resources District (PMRNRD) and USGS which began in 2017. The goal of this study was to develop a hydrogeologic visualization model of western Sarpy County using GeoScene3D. In 2016, the PMRNRD contracted airborne electromagnetic surveys (AEM) of the area to be completed to better understand the stratigraphy and hydrogeology of the western Sarpy County area. The PMRNRD determined that they wanted to incorporate the AEM data into a visualization tool that would allow PMRNRD staff to easily interact... Tags: Big Papillion-Mosquito, Gretna, Lower Elkhorn, Lower Platte, Nebraska, All tags... Omaha South, Papillion, Sarpy County, Springfield, geoscientificInformation, groundwater, groundwater and surface-water interaction, groundwater level, hydrogeology, Fewer tags LANDFIRE 2022 Existing Vegetation Cover (EVC) AK LANDFIRE's (LF) 2022 update (LF 2022) Existing Vegetation Cover (EVC) represents the vertically projected percent cover of the live canopy for a 30-m cell. EVC is produced separately for tree, shrub, and herbaceous lifeforms. Training data depicting percentages of canopy cover are obtained from plot-level ground-based visual assessments and lidar observations. These are combined with Landsat imagery (from multiple seasons), to inform models built independently for each lifeform. Tree, shrub, and herbaceous lifeforms each have a potential range from 10% to 100% (cover values less than 10% are binned into the 10% value). The three independent lifeform datasets are merged into a single product based on the dominant... Tags: AK, Alaska, EVC, Existing Vegetation Cover, LANDFIRE 2022, All tags... LF 2022, OCONUS, U.S. Forest Service (USFS), U.S. Geological Survey (USGS), US, United States, biota, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, Fewer tags LANDFIRE 2022 Historical Disturbance (HDist) HI LANDFIRE (LF) disturbance products are developed to provide temporal and spatial information related to landscape change. Historical Disturbance (HDist) is developed from the base annual LF disturbance products, and attribute code system, to represent the history of disturbance for a 10-year span. Each year's disturbance scenarios are checked against time relevant LF vegetation products to check for logical inconsistencies. Errant codes are flagged and updated to a discard code with the remaining disturbance types cross-walked/aggregated to Fuel Disturbance (FDist) types. HDist includes the year of disturbance that is recorded for that pixel. In LF 2022, the time since disturbance code is the same for both HDist... Tags: HDist, HI, Hawaii, Historical Disturbance, LANDFIRE 2022, All tags... LF 2022, OCONUS, U.S. Forest Service (USFS), U.S. Geological Survey (USGS), US, United States, biota, disturbance, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, Fewer tags LANDFIRE 2022 Fuel Vegetation Type (FVT) Puerto Rico US Virgin Islands LANDFIRE (LF) 2022 Fuel Vegetation Type (FVT) represents the LF Existing Vegetation Type Ecological Systems (EVT) product, modified to represent pre-disturbance EVT in areas where disturbances have occurred over the past 10 years. Due to shifting EVT codes and labels throughout the years, the FVT codes are based on an early version of EVT codes translated from the current version. FVT is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas. To designate disturbed areas where FVT is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance (FDist) product are used. All existing disturbances... Tags: EVT, Existing Vegetation Type, FVT, Fuel Vegetation Type, IA, All tags... Insular Areas, LANDFIRE 2022, LF 2022, OCONUS, Puerto Rico, U.S. Forest Service (USFS), U.S. Geological Survey (USGS), US, US Virgin Islands, United States, biota, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, Fewer tags Roi-Namur Island, Marshall Islands, wave and water level data, 2013-2015 Time series data of water surface elevation and wave height were acquired at ten locations for 517 days (in three separate deployments) off the north coast of Roi-Namur Island, Kwajalein Atoll, Marshall Islands, in support of a study on the coastal circulation patterns and the transformation of surface waves over the coral reefs. The relative placement of sensors on the reefs were as follows: ROI13W1 and ROI13E1 – fore reef ROI13W2 and ROI13E2 – outer reef flat ROI13W1 and ROI13E1 – middle reef flat ROI13W1 and ROI13E1 – inner reef flat Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: CMHRP, Coastal and Marine Hazards and Resources Program, Kwajalein Atoll, Kwajalein County, Marshall Islands, All tags... Oceans, PCMSC, Pacific Coastal and Marine Science Center, Republic of the Marshall Islands, Roi-Namur, U.S. Geological Survey, USGS, Water Column Features, geoscientificInformation, marine water quality, physical oceanography, tides, time series datasets, waves, Fewer tags Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2021 (ver. 5.0, August 2023) The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image... Tags: AK, Alaska, Burn severity, Burned area, CONUS, All tags... Continental U.S., Differenced normalized burn ratio, Fire location, Fire occurrence, HI, Hawaii, Landsat, Location, MTBS, Normalized burn ratio, PR, Prescribed fire, Puerto Rico, Sentinel, US, USGS Metadata Identifier, USGS:62b4778cd34e8f4977cbcee4, United States, Wildfire, Wildland fire, imageryBaseMapsEarthCover, Fewer tags Data for Tritium deposition in precipitation in the United States, 1953 - 2023 (ver. 2.0, May 2023) This data release documents three Microsoft Excel tables (and corresponding comma separated data files) that contain estimates of tritium in precipitation data for the continental United States. Versions of this data release contain additional tritium data for more recent years. The current version has tritium data through 2022. Table 1 contains estimates of tritium in precipitation for precipitation stations located in the continental United States. Measured precipitation data are formatted in regular font while correlated data are italicized. Table 2 contains tritium in precipitation for ninety-six 2-degree latitude by 5-degree longitude quadrangles covering the continental U.S. Latitudes are north of the equator... Categories: Data, Data Release - In Progress; Tags: Tritium, USGS Science Data Catalog (SDC), continental United States, groundwater, groundwater age, All tags... precipitation, tracers, water quality, Fewer tags Data describing the use of retention ponds on commercial poultry facilities on Delmarva by wild waterfowl These data support a paired USGS publication and document the use of retention ponds on commercial poultry farms by wild waterfowl. Categories: Data; Tags: Chesapeake Bay, USGS Science Data Catalog (SDC), Wildlife Disease, avian influenza, biota, All tags... domestic poultry, wild waterfowl, Fewer tags Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Degree Flowlines This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Green Bay Restoration Assessment (GBRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. These data help identify the condition of hydrologic separation between potential restoration areas and Lake Ontario. Low numbers represent fewer disconnections, such as culverts, between the reach and the water body requiring no flow network modification... Tags: Brown, Brown County, WI, Delta, Delta County, MI, Door, All tags... Door County, WI, Great Lakes, Green Bay, Hydrology, Kewaunee, Kewaunee County, WI, Lake Michigan, Manitowoc, Manitowoc County, WI, Marinette, Marinette County, WI, Menominee, Menominee County, MI, Michigan, Oconto, Oconto County, WI, Schoolcraft, Schoolcraft County, MI, USGS Science Data Catalog (SDC), Wisconsin, environment, hydrology, hydrology, inlandWaters, lake, lakeshore, natural resource management, remediation, resource management, river, river reaches, stream, water quality, wetland, wetland ecosystems, wetland restoration, Fewer tags Hydrodynamic model of the Colorado River, Glen Canyon Dam to Lees Ferry in Glen Canyon National Recreation Area, Arizona: tables of model results and accuracy assessment These data were compiled to provide a resource for other researchers interested in water-surface elevations and flow velocity across a wide range of discharge in the study reach for the project. Objective(s) of our study were to construct a two-dimensional hydrodynamic model for the 15.8 mile tailwater reach of the Colorado River in Glen Canyon between Glen Canyon Dam and Lees Ferry, Arizona. These data represent the results of the two-dimensional modeling effort with each data table (50) including the results of each run of the model. Additionally, other data represent a comparison of modeled water surface elevations to measured water surface elevations for historic Bureau of Reclamation cross sections in the study... Tags: Arizona, Coconino County, Colorado River, Geography, Glen Canyon, All tags... Glen Canyon Dam, Glen Canyon National Recreation Area, Hydrology, Information Sciences, Lees Ferry, USGS Science Data Catalog (SDC), USGS:6595800dd34e3265ab152e47, Water Resources, accuracy assessment, bathymetry, bathymetry measurement, bed shear stress, data release, digital elevation models, elevation, flow velocity, geomorphology, geoscientificInformation, hydraulic characteristics, hydrodynamics, hydrographic datasets, inlandWaters, mathematical modeling, shoreline extents, stream discharge, streamflow, tailwater reach, topography, two-dimensional hydrodynamic model, velocities, water depths, water surface elevation, Fewer tags Long-term monotonic trends in annual and monthly streamflow metrics at streamgages in the United States The U.S. Geological Survey (USGS) Water Resources Mission Area (WMA) is working to address a need to understand where the Nation is experiencing water shortages or surpluses relative to the demand for water need by delivering routine assessments of water supply and demand and an understanding of the natural and human factors affecting the balance between supply and demand. A key part of these national assessments is identifying long-term trends in water availability, including groundwater and surface water quantity, quality, and use. This data release contains Mann-Kendall monotonic trend analyses for 18 observed annual and monthly streamflow metrics at 6,347 U.S. Geological Survey streamgages located in the conterminous... Categories: Data; Tags: Hydrology, USGS Science Data Catalog (SDC), United States, Water Resources, droughts, All tags... floods, hydrology, inlandWaters, streamflow, trends, Fewer tags Imagery training dataset for the River Imagery Sensing (RISE) application This data release contains time-lapse imagery taken at U.S. Geological Survey (USGS) stream gaging stations with associated hydrologic and meteorological data related to each image. These data are to help improve the development of models in detecting water elevation at a given stream gaging station. Images of the water surface and surroundings at USGS stream gaging stations were taken at varying time intervals ranging between every five minutes to an hour. Cameras used include trail cameras, web cameras, and the custom river imagery sensing (RISE) camera. Time-lapse images for each USGS stream gaging station are provided in compressed files (file extension .7z). These files are named in a format to identify the... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Remote Sensing, USGS Science Data Catalog (SDC), Water Resources, camera, image, All tags... time-lapse, Fewer tags Identifying post-reservoir construction periods for monotonic trend analysis at streamgages in the United States The U.S. Geological Survey (USGS) Water Resources Mission Area (WMA) is working to address a need to understand where the Nation is experiencing water shortages or surpluses relative to the demand for water need by delivering routine assessments of water supply and demand and an understanding of the natural and human factors affecting the balance between supply and demand. A key part of these national assessments is identifying long-term trends in water availability, including groundwater and surface water quantity, quality, and use. An understanding of the impacts of reservoirs on water availability is essential for this assessment. This data release contains decadal time series of cumulative reservoir storage... Categories: Data; Tags: CONUS, USGS Science Data Catalog (SDC), United States, Water Resources, inlandWaters Bathymetry of Bubbly Creek and Chicago Sanitary and Ship Canal Sidings in Cook County, Illinois, July 2023 These data are high-resolution bathymetry (riverbed elevation) in compressed LAS (*.laz) format, generated from the July 17–19, 2023, hydrographic survey of Bubbly Creek and various sidings, harbors, and turning basins on the Chicago Sanitary and Ship Canal (CS&SC) in Cook County, Illinois. The survey includes all Bubbly Creek from the confluence with the CS&SC in the north to the Racine Avenue Pump station in the south; various sidings and turning basins along the CS&SC between Kedzie Avenue and South Halsted Street; and the Marine Safety Station harbor near the Chicago Harbor Lock on Lake Michigan. This survey is a continuation and enhancement of the bathymetric survey of the CS&SC in Cook County, Illinois, conducted... Tags: Bathymetry and Elevation, Bubbly Creek, Chicago, Chicago Sanitary and Ship Canal, Illinois, All tags... Inland Waters, Multibeam, Point Cloud, South Chicago River, U.S. Geological Survey, USGS, USGS Science Data Catalog (SDC), Water Depth, XYZ, bathymetry, elevation, geoscientificInformation, imageryBaseMapsEarthCover, inlandWaters, location, structure, Fewer tags Vegetation and water classifications for a segment of the Paria River upstream of the Colorado River Confluence, Arizona, USA 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... Geography, Glen Canyon, Glen Canyon Dam, Grand Canyon, Green Normalized Difference Vegetation Index, Hydrology, Information Sciences, Lees Ferry, Lonely Dell, Marble Canyon, Northern Arizona, Paria River, Remote Sensing, USGS Science Data Catalog (SDC), United States, Water Resources, airborne imagery, biota, change detection, classification maps, data release, ecosystem monitoring, flooding, gNDVI, image classification, image collections, imageryBaseMapsEarthCover, inlandWaters, maps and atlases, multispectral high resolution data, multispectral imaging, remote sensing, riparian vegetation, river ecosystems, river reaches, river systems, river tributaries, supervised classification, surface water (non-marine), total vegetation, vegetation, vegetation classification maps, water maps, wetland ecosystems, Fewer tags Various Lake Powell data used for predicting smallmouth bass entrainment rates and population growth based on thermal suitability below and downstream of Glen Canyon Dam These data were compiled to create models that estimate entrainment rates and population growth rates of smallmouth bass below Glen Canyon Dam. Objective(s) of our study were to predict smallmouth bass entrainment rates and population growth under different future scenarios of Lake Powell elevations and management. These data represent parameters needed for associated models and data needed to produce figures. These data were collected from publicly available online sources including published papers and federal government datasets. These data were assembled by researchers from U.S. Geological Survey, Utah State University, Colorado State University, U.S. Fish and Wildlife Service. These data can be used to run... Categories: Data; Tags: Aquatic Biology, Arizona, Climatology, Colorado River, Diamond Creek, All tags... Ecology, Geography, Glen Canyon, Glen Canyon Dam, Global Horizon Irradiance, Grand Canyon, Hydrology, Information Sciences, Lake Powell, Lees Ferry, Little Colorado River, Page, Page Airport, USGS Science Data Catalog (SDC), Utah, Williams, adaptive management, age class, air temperature, area, bathymetry, climatologyMeteorologyAtmosphere, data release, depth suitability, ecological processes, elevation, entrainment rates, environment, evaporation, field inventory and monitoring, inflow projections, inlandWaters, mean observed lengths, modeling, observed daily depths, outflow projections, population growth, precipitation (atmospheric), reproduction, reservoir water quality model CEQUAL-W2, smallmouth bass, solar, study areas, surface water (non-marine), surface water quality, temperature profiles, thermal suitability, water depths, water temperature, Fewer tags LANDFIRE 2022 Forest Canopy Cover (CC) CONUS LANDFIRE's (LF) 2022 Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy cover onto an imaginary horizontal plane. CC supplies information for fire behavior models to determine the probability of crown fire initiation, provide input in the spotting model, calculate wind reductions, and to calculate fuel moisture conditioning. To create this product, plot level CC values are calculated using the canopy fuel estimation software, Forest Vegetation Simulator (FVS). Pre-disturbance CC and Canopy Height (CH) are used as predictors of disturbed CC using a linear regression equation per Fuel Vegetation Type (FVT), disturbance type/severity, and... Tags: CC, CONUS, Canopy Cover, Conterminous United States, Continental U.S., All tags... LANDFIRE 2022, LF 2022, U.S. Forest Service (USFS), U.S. Geological Survey (USGS), US, United States, biota, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, Fewer tags LANDFIRE 2022 Fuel Vegetation Cover (FVC) CONUS LANDFIRE (LF) 2022 Fuel Vegetation Cover (FVC) represents the LF Existing Vegetation Cover (EVC) product, modified to represent pre-disturbance EVC in areas where disturbances have occurred over the past 10 years. EVC is mapped as continuous estimates of canopy cover for tree, shrub, and herbaceous lifeforms with a potential range from 10% to 100%. Continuous EVC values are binned to align with fuel model assignments when creating FVC. FVC is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas. To designate disturbed areas where FVC is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance... Tags: CONUS, Conterminous United States, Continental U.S., EVC, Existing Vegetation Cover, All tags... FVC, Fuel Vegetation Cover, LANDFIRE 2022, LF 2022, U.S. Forest Service (USFS), U.S. Geological Survey (USGS), US, United States, biota, fires, geographic information systems, geospatial datasets, hazard preparedness, image collections, imageryBaseMapsEarthCover, raster digital data, remote sensing, Fewer tags Magnetotelluric data from northern Harrat Rahat, Saudi Arabia, 2016 This dataset consists of 122 magnetotelluric (MT) soundings collected in 2016 in the northern Harrat Rahat, located near the holy city of Al-Madinah Al-Munawarah in Saudi Arabia. These data were collected as part of a joint project between the U.S. Geological Survey and the Saudi Geological Survey examining the volcanic hazard associated with the harrat. Imaging the 3-D electrical resistivity structure of the crust and upper mantle beneath the harrat will help in understanding the magmatic system at depth. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Earth magnetic field, Electromagnetic surveying, GGGSC, Geology, Geophysics, and Geochemistry Science Center, Geophysics, All tags... Geophysics, GeoscientificInformation, MT, Saudi Arabia, USGS Science Data Catalog (SDC), VHP, Volcano Hazards Program, Volcanology, apparent resistivity, conductivity, impedance, magnetotellurics, phase, time series, tipper, Fewer tags 1 2 3 4 5 ... »