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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 Temperature data collected from the Lower Yakima River from October 2018 to October 2020 A total of 27 temperature sensors were deployed along the lower 90 miles of the Yakima River at 7 locations where cold water had been previously observed. These 7 cold-water areas had 3 to 6 temperature sensors installed to document the extent and duration of these cold-water areas and their impacts on mainstem temperatures of the Lower Yakima River. Cold-water areas included the mouths of tributaries, alongside channels, and within alcoves. Sensor deployments ranged from 1 to 2 years beginning in October 2018. All temperature data are included in the Yakima.temperatures.zip folder. Details of each monitoring location are provided in the site.locs.csv file. In addition to the raw data and site location information,... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aquatic Biology, Benton County, Ecology, Hydrology, Richland, WA, All tags... USGS Science Data Catalog (SDC), Washington State, Water Quality, Water Resources, Wildlife Biology, Yakima River, cold-water areas, inlandWaters, water temperature, 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 LANDFIRE 2022 Canadian Forest Fire Danger Rating System (CFFDRS) AK The LANDFIRE (LF) Canadian Forest Fire Danger Rating System (CFFDRS) product depicts fuel types as an identifiable association of fuel elements of distinctive species, form, size, arrangement, and continuity. CFFDRS exhibits characteristic fire behavior under the specified burn conditions. In LF 2022 Canadian fuel models are derived from the Fuel Model Guide to Alaska Vegetation (Alaska Fuel Model Guide Task Group, 2018) and subsequent updates. The LF CFFDRS product contains the fuel models used for the Fire Behavior Prediction (FBP) system fuel type inputs. Default values assigned to the Canadian Fuel Models required to run the Prometheus fire behavior software (Prometheus, 2021) are added as attributes to the... Tags: AK, Alaska, CFFDRS, Canadian Forest Fire Danger Rating System, 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 Forest Canopy Height (CH) AK LANDFIRE's (LF) 2022 Forest Canopy Height (CH) describes the average height of the top of the canopy for a stand. CH is used in the calculation of Canopy Bulk Density (CBD) and Canopy Base Height (CBH). CH supplies information for fire behavior models, such as FARSITE (Finney 1998), that can determine the starting point of embers in the spotting model, wind reductions, and the volume of crown fuels. To create this product, plot level CH values are calculated using the canopy fuel estimation software, Forest Vegetation Simulator (FVS). Pre-disturbance Canopy Cover and CH are used as predictors of disturbed CH using a linear regression equation per Fuel Vegetation Type (FVT), disturbance type/severity, and time since... Tags: AK, Alaska, CH, Canopy Height, 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 Fuel Disturbance (FDist) AK LANDFIRE (LF) disturbance products are developed to provide temporal and spatial information related to landscape change. LF 2022 Fuel Disturbance (FDist) uses the latest Annual Disturbance products from the effective disturbance years of 2013 to 2022. FDist is created from LF 2022 Historical Disturbance (HDist) which in turn aggregates the Annual Disturbance products. FDist groups similar disturbance types, severities and time since disturbance categories which represent disturbance scenarios within the fuel environment. FDist is used in conjunction with Fuel Vegetation Type (FVT), Cover (FVC), and Height (FVH) to calculate Canopy Cover (CC), Canopy Height (CH), Canopy Bulk Density (CBD), Canopy Base Height (CBH),... Tags: AK, Alaska, FDist, Fuel 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 Lidar point cloud data for Cabeza Prieta National Wildlife Refuge (CPNWR), Arizona, February 2022 These data were compiled for Cabeza Prieta National Wildlife Refuge (CPNWR) in southern Arizona, to support managment efforts of water resources and wildlife conservation. Objective(s) of our study were to 1) measure water storage capacity at select stage heights in three tanks (also termed tinajas), 2) build a stage storage model to help CPNWR staff accurately estimate water volumes throughout the year, and 3) collect topographic data adjacent to the tanks as a means to help connect these survey data to past or future work. These data represent high-resolution (sub-meter) ground based lidar measurements used to meet these objectives and are provided as: processed lidar files (point clouds), rasters (digital elevation... Tags: Ajo, Arizona, Buckhorn Tank, Cabeza Prieta National Wildlife Refuge, Eagle Tank, All tags... Senita Tank, Southern Arizona, conservation, data release, digital elevation models, elevation, elevation surface, environment, imageryBaseMapsEarthCover, inlandWaters, lidar, lidar data, lidar point cloud, natural resource management, raster data, remote sensing, sedimentation, shapefiles, stage storage, surface model, three-dimensional model, tinaja, topographic maps, topography, vector data, volume, water resources, water storage, water surface area, wildlife management, wildlife tank, Fewer tags Code, imagery, and annotations for training a deep learning model to detect wildlife in aerial imagery These data were collected to support the development of detection and classification algorithms to support Bureau of Ocean Energy Management (BOEM) studies and assessments associated with offshore wind energy production. There are 3 child zip files included in this data release. 01_Codebase.zip contains a codebase for using deep learning to filter images based on the probability of any bird occurrence. It includes instructions and files necessary for training, validating, and testing a machine learning detection algorithm. 02_Imagery.zip contains imagery that were collected using a Partenavia P68 fixed-wing airplane using a PhaseOne iXU-R 180 forward motion compensating 80-megapixel digital frame camera with... Tags: Cape Cod, Information Sciences, Lake Michigan, USGS Science Data Catalog (SDC), Wildlife Biology, All tags... biota, birds, datasets, deep learning, oceans, remote sensing, wildlife, Fewer tags Geospatial characterization of salt marshes in Connecticut (ver. 2.0, April 2024 This data release contains coastal wetland synthesis products for the state of Connecticut. Metrics for resiliency, including the unvegetated to vegetated ratio (UVVR), marsh elevation, tidal range, wave power, and exposure potential to environmental health stressors are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. The U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing federal, state, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For... Tags: Connecticut, Long Island Sound, United States, coastal ecosystems, coastal processes, All tags... environment, estuary, geospatial datasets, inlandWaters, marsh health, none, oceans, salt marsh, vegetation, wetland ecosystems, wetland functions, Fewer tags Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016, 2018, and 2021 Site 0494 land-water matrix Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. This dataset consists... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: CRMS, DOQQ, Emergent Wetland, Forested Wetland, Geographic Information System, All tags... Louisiana, Scrub-Shrub Wetland, State of Louisiana, alteration of wetland habitats, cartography, coastal, coastal Louisiana, imageryBaseMapsEarthCover, land-water, mapping, marsh, protection, restoration, wetland, wetland, wetland ecosystems, wetland restoration, Fewer tags Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2015, 2018, and 2021 Site 0499 land-water matrix Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. This dataset consists... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: CRMS, DOQQ, Emergent Wetland, Forested Wetland, Geographic Information System, All tags... Louisiana, Scrub-Shrub Wetland, State of Louisiana, alteration of wetland habitats, cartography, coastal, coastal Louisiana, imageryBaseMapsEarthCover, land-water, mapping, marsh, protection, restoration, wetland, wetland, wetland ecosystems, wetland restoration, Fewer tags 1 2 3 4 5 ... 29 »