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U.S. Geological Survey Rocky Mountain Region inland bathymetric survey data are compiled to create a survey inventory providing survey records including survey system and product information, and links to survey datasets when available. Dataset footprints including this information and showing the location and extent of surveys can be downloaded as a shapefile or geodatabase and can be accessed through Spatial Services provided here.
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U.S. Geological Survey Northwest and Pacific Islands Region inland bathymetric survey data are compiled to create a survey inventory providing survey records including survey system and product information, and links to survey datasets when available. Dataset footprints including this information and showing the location and extent of surveys can be downloaded as a shapefile or geodatabase, and can be accessed through Spatial Services provided here.
U.S. Geological Survey Alaska Region inland bathymetric survey data are compiled to create a survey inventory providing survey records including survey system and product information, and links to survey datasets when available. Dataset footprints including this information and showing the location and extent of surveys can be downloaded as a shapefile or geodatabase, and can be accessed through Spatial Services provided here.
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The watershed data management (WDM) database SC16.WDM is updated with the processed data for the period October 1, 2016, through September 30, 2017, and renamed as SC17.WDM. The precipitation data are collected from a tipping-bucket rain-gage network and the hydrologic data (stage and discharge) are collected at USGS streamflow-gaging stations in and around DuPage County, Illinois. Hourly precipitation and hydrologic data for the period October 1, 2016, through September 30, 2017, are processed following the guidelines described in Bera (2014) and appended to SC16.WDM and renamed as SC17.WDM. Meteorological data (wind speed, solar radiation, air temperature, dewpoint temperature, and potential evapotranspiration)...
This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)(Granato, 2013). The U.S. Geological Survey (USGS) developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater flows, concentrations, and loads to be above user-selected water-quality goals and the potential effectiveness of mitigation measures to reduce such risks. In SELDM, three treatment variables, hydrograph extension, runoff volume reduction, and water-quality treatment are modeled by using the trapezoidal distribution and the rank...
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The Landsat-based Irrigation Dataset (LANID) uses a random-forest machine-learning model with greenness and vegetative indices, climate data, and crop masks to identify irrigated crops (Xie and others, 2021, Xie and Lark, 2021). Separate western US and eastern US methods are used to train and validate the model. Annual LANID maps for 2018-20 were created using the same techniques in Xie and others, 2021, and Xie and Lark, 2021.
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Wytheville 30 x 60 minute quadrangle in Virginia and North Carolina. The source data used to construct this imagery consists of 1 and 3-meter lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2012 and 2021. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
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We created a single map of surface water presence by intersecting water classes from available land cover products (National Wetland Inventory, Gap Analysis Program, National Land Cover Database, and Dynamic Surface Water Extent) across the U.S. state of Arizona. We derived classified samples for four wetland classes from the harmonized map: water, herbaceous wetlands, wooded wetlands, and non-wetland cover. In Google Earth Engine (GEE) we developed a random forest model that combined the training data with spatially explicit predictor variables of vegetation greenness indices, wetness indices, seasonal index variation, topographic variables, and hydrologic parameters. The final product is a wall-to-wall map of...
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Kingwood 30 x 60 minute quadrangle in West Virginia and Maryland. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2020 and 2023. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
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This data is part of the Gulf Watch Alaska (GWA) long term monitoring program, benthic monitoring component and a seasonal diet study in Kenai Fjords National Park. The dataset is a comma separated file exported from a Microsoft Access database. The data consists of observations made of foraging sea otters (Enhydra lutris). Observers used Questar field model spotting scopes and binoculars to identify prey. Date, local time, dive duration, success, prey type, prey size, prey number, handling time and surface time are all recorded. Sites are in Alaska and include locations in Katmai National Park and Preserve, Kenai Fjords National Park and Prince William Sound. This data in this file were collected 2012-2016.
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The U.S. Geological Survey (USGS) Northeast Region Inland to Coastal Zone Bathymetric and Topobathymetric Survey Inventory, v3 Update includes a survey records inventory and dataset footprints (when available) for inland bathymetric and topobathymetric surveys published by the USGS for the conterminous US. Survey records include water feature, state, publication title, data vintage, mission, online linkage to reports and datasets, collection methods, survey and survey product resolution, datums, geoid, and accuracy information if known. This database, identified as the USGS Inland Bathymetric and Topobathymetric Survey Inventory, v.3, Update, has been approved for release by the U.S. Geological Survey (USGS). Although...
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The U.S. Geological Survey (USGS), in cooperation with DuPage County Stormwater Management Department, developed a watershed data management (WDM) database of hourly meteorological and hydrologic data for use in a near real-time streamflow simulation system. This WDM database is updated at least weekly by USGS staff with the latest available data. These data are initially provisional and may have periods of missing or flawed data due to equipment malfunctions or other problems. To improve the accuracy of simulations, the WDM database is updated and corrected with quality-assured and quality-controlled (QA/QC) data for each water year (a water year is the 12-month period, October 1 through September 30, in which...
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A reach of the North Santiam River, Oregon, was used as a case study in an ongoing effort to develop and test image velocimetry algorithms for estimating surface flow velocities in river channels from remotely sensed data. Video was acquired from an unoccupied aircraft system, UAS, and used as input to the image velocimetry algorithms. Direct measurements of flow velocity were obtained using an acoustic Doppler current profiler, ADCP, and used to assess the accuracy of the image velocimetry algorithms. The UAS-based video was acquired from a DJI Matrice 210 quadcopter equipped with a Zenmuse X4S optical camera on July 25, 2022. The video is provided in its native form, with a frame rate of 30 Hertz and an *.mov...
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High-resolution single-channel Chirp seismic-reflection data were collected by the U.S. Geological Survey in March and April 2007 from Pacifica to Half Moon Bay, offshore San Mateo County, California. Data were collected aboard the R/V Fulmar, during field activity F-02-07-NC. Chirp data were collected using an EdgeTech 512 chirp subbottom system and recorded with a Triton SB-Logger.
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This data release contains estimated monthly point-source nutrient loads for 97 municipal wastewater treatment plants, 20 industrial facilities, and 46 fish hatcheries and other aquaculture facilities that discharge within the watersheds draining to Puget Sound and the Strait of Juan de Fuca in Washington, or discharge directly to those water bodies. The data, which cover the years 2005 through 2020, were used as input to a set of seasonal SPARROW total nitrogen and total phosphorus SPARROW models that were used to assess nutrient loadings to Puget Sound.
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U.S. Geological Survey Southeast Region inland bathymetric survey data are compiled to create a survey inventory providing survey records including survey system and product information, and links to survey datasets when available. Dataset footprints including this information and showing the location and extent of surveys can be downloaded as a geodatabase and can be accessed through Spatial Services provided here.
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This data set includes estimates of aquatic chlorophyll a concentration and reservoir temperature for Blue Mesa Reservoir, CO. A Random Forest modeling approach was trained to model near-surface aquatic chlorophyll a using near-coincident Sentinel-2 satellite imagery and water samples analyzed for chlorophyll a concentration. The trained chlorophyll a model was applied to Sentinel-2 imagery to produce maps of modeled chlorophyll a concentrations at 10 m spatial resolution for May through October for 2016 through 2023. Chlorophyll a concentrations for three sections (basins) of Blue Mesa Reservoir were extracted from the raster data to produce time-series of modeled chlorophyll a concentration summary statistics...
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Bathymetric and topographic surveys were collected along an approximately 47-kilometer reach of the Colorado River beginning at the Pumphouse Recreation site and extending downstream to the USGS streamgage located near the Colorado River Road (Catamount) bridge. The surveys were collected using real-time kinematic Global Navigation Satellite System (GNSS) receivers by USGS personnel during several time periods between May 13, 2021, through July 26, 2023, using a combination of sonar and wading techniques. The wading surveys include point data that are provided as comma-delimited text files of northing, easting, elevation, and point code. The sonar surveys include point data that are provided as comma-delimited text...
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A monthly model of groundwater-transported nitrogen loads was developed for 12-digit hydrologic unit code (HUC12) watersheds on the north shore of Long Island Sound in coastal Connecticut and adjacent areas of New York and Rhode Island. As part of the analysis, potential management actions that upgraded septic systems or reduced fertilizer application to areas of turf-grass were also simulated. This compilation includes a zipped file (Tables.zip) of aggregated model outputs and datasets used in the model development. The zipped file contains a file dictionary (file_dictionary.csv) that includes the file name, title, and caption for each table and a data dictionary (data_dictionary.csv) that includes the variable...


map background search result map search result map Gulf Watch Alaska, Nearshore Monitoring Component: Sea Otter Foraging Observations from Prince William Sound, Katmai National Park and Preserve, and Kenai Fjords National Park, 2012-2016 Watershed Data Management (WDM) Database  (SC16.WDM) for Salt Creek Streamflow Simulation, DuPageCounty, Illinois, January 1, 1997, through September 30, 2016 (ver. 1.1, September 2024) Watershed Data Management (WDM) Database (SC17.WDM) for Salt Creek Streamflow Simulation, DuPage County, Illinois, January 1, 1997, through September 30, 2017 (ver. 1.1, September 2024) Chirp seismic-reflection data of field activity F-02-07-NC collected offshore San Mateo County, California, from 2007-03-22 to 2007-04-06 Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) Bathymetric and topographic surveys of the Upper Colorado River, May 13, 2021, to July 26, 2023 U.S. Geological Survey Southeast Region Inland to Coastal Zone Bathymetric Survey Inventory, v3 Update U.S. Geological Survey Rocky Mountain Region Inland Bathymetric Survey Inventory, v3 Update LANID: Landsat-based irrigation dataset for CONUS 2018-20 Monthly point-source nutrient loads within the watersheds draining to Puget Sound and the Strait of Juan de Fuca, Washington, 2005 – 2020 Remotely sensed and in-situ chlorophyll a and temperature data from Blue Mesa Reservoir, Colorado Wetlands in the state of Arizona Video acquired from an Uncrewed Aerial System (UAS) and hydroacoustic measurements of flow velocity obtained along the North Santiam River, Oregon, in July 2022 Summary Simulated Groundwater-transported Nitrogen Loads on the North Shore of Long Island Sound and Associated Data Enhanced Terrain Imagery of the Kingwood 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Wytheville 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Greater Sage-Grouse Abundance in Sagebrush Focal Areas near Critical Mineral Resources (ver. 2.0, September 2024) U.S. Geological Survey Northwest and Pacific Islands Region Bathymetric Survey Inventory, v3 Update U.S. Geological Survey Alaska Region Inland Bathymetric Survey Inventory, v3 Update U.S. Geological Survey Southwest Region  Inland to Coastal Zone Bathymetric Survey Inventory, v3 Update Video acquired from an Uncrewed Aerial System (UAS) and hydroacoustic measurements of flow velocity obtained along the North Santiam River, Oregon, in July 2022 Bathymetric and topographic surveys of the Upper Colorado River, May 13, 2021, to July 26, 2023 Remotely sensed and in-situ chlorophyll a and temperature data from Blue Mesa Reservoir, Colorado Watershed Data Management (WDM) Database (SC17.WDM) for Salt Creek Streamflow Simulation, DuPage County, Illinois, January 1, 1997, through September 30, 2017 (ver. 1.1, September 2024) Watershed Data Management (WDM) Database  (SC16.WDM) for Salt Creek Streamflow Simulation, DuPageCounty, Illinois, January 1, 1997, through September 30, 2016 (ver. 1.1, September 2024) Chirp seismic-reflection data of field activity F-02-07-NC collected offshore San Mateo County, California, from 2007-03-22 to 2007-04-06 Summary Simulated Groundwater-transported Nitrogen Loads on the North Shore of Long Island Sound and Associated Data Monthly point-source nutrient loads within the watersheds draining to Puget Sound and the Strait of Juan de Fuca, Washington, 2005 – 2020 Wetlands in the state of Arizona U.S. Geological Survey Rocky Mountain Region Inland Bathymetric Survey Inventory, v3 Update Gulf Watch Alaska, Nearshore Monitoring Component: Sea Otter Foraging Observations from Prince William Sound, Katmai National Park and Preserve, and Kenai Fjords National Park, 2012-2016 U.S. Geological Survey Southwest Region  Inland to Coastal Zone Bathymetric Survey Inventory, v3 Update U.S. Geological Survey Northwest and Pacific Islands Region Bathymetric Survey Inventory, v3 Update Greater Sage-Grouse Abundance in Sagebrush Focal Areas near Critical Mineral Resources (ver. 2.0, September 2024) U.S. Geological Survey Southeast Region Inland to Coastal Zone Bathymetric Survey Inventory, v3 Update LANID: Landsat-based irrigation dataset for CONUS 2018-20 U.S. Geological Survey Alaska Region Inland Bathymetric Survey Inventory, v3 Update Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)