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Development of oil and gas wells leads to the destruction and fragmentation of natural habitat. Oil and gas wells also increase noise levels which has been shown to be detrimental to some wildlife species. Therefore, the density of oil and gas wells in the western United States was modeled based on data obtained from the National Oil and Gas Assessment.
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Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey of 80 managers of floodplain conservation lands along the Upper and Middle Mississippi and Lower Missouri Rivers in the central United States found that the most critical information needed to improve floodplain management centered on metrics for characterizing depth, extent, frequency, duration, and timing of inundation. These metrics can be delivered to managers efficiently through cloud-based interactive maps. To calculate these metrics, we interpolated an existing one-dimensional HEC-RAS hydraulic model for the Lower Missouri River, which simulated water surface elevations at cross sections spaced (<1...
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The dataset presented here represents a circa 1956 land/water delineation of coastal Louisiana used in part of a larger study to quantify landscape changes from 1932 to 2016. The original dataset was created by the U.S. Fish and Wildlife Service, Office of Biological Services. The USGS Wetland and Aquatic Research Center altered the original data by improving the geo-rectification in specific areas known to contain geo-rectification error, most notably in coastal wetland areas in the vicinity of Four League Bay in western Terrebonne Basin. The dataset contains two categories, land and water. For the purposes of this effort, land includes areas characterized by emergent vegetation, upland, wetland forest, or scrub-shrub...
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The dataset presented here represents a circa 1998 land/water delineation of coastal Louisiana used in part of a larger study to quantify landscape changes from 1932 to 2016. The dataset contains two categories, land and water. For the purposes of this effort, land includes areas characterized by emergent vegetation, upland, wetland forest, or scrub-shrub were classified as land, while open water, aquatic beds, and mudflats were classified as water. For additional information regarding this dataset, refer to USGS SIM 3381.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
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The U.S. Geological Survey (USGS) collected hydroacoustic data of the St. Croix River adjacent to the Osceola (WI) boat ramp for hydrographic and benthic mapping prior to the reconstruction project implemented by the National Park Service (NPS). Backscatter is the acoustic reflectivity, which is the measure of energy obtained from the echo intensity, and can provide an indication about the nature of the river bottom and its physical character. Image analysis and classification of backscatter, with the combined datasets of bathymetry (and its derivatives) and ground truthing, can predict surficial substrate, or sediment type. For habitat analysis, these datasets were desired by the NPS to help inform and mitigate...
Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey of 80 managers of floodplain conservation lands along the Upper and Middle Mississippi and Lower Missouri Rivers in the central United States found that the most critical information needed to improve floodplain management centered on metrics for characterizing depth, extent, frequency, duration, and timing of inundation. These metrics can be delivered to managers efficiently through cloud-based interactive maps. To calculate these metrics, we interpolated an existing one-dimensional HEC-RAS hydraulic model for the Middle Mississippi River, which simulated water surface elevations at cross sections spaced...
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This dataset is a digital elevation model (DEM) of the bathymetry for six sites where known rock structures exist in the St. Croix River. The DEMs have a 10-cm resolution (Boom site is 0.5-m) to provide ultra-high-resolution elevations for investigating the use of hydroacoustic technologies for quantifying habitat for imperiled mussels Spectaclecase (Margaritifera monodonta) and Salamander (Simpsonaias ambigua) typically associated with rock structures (e.g., wing dams, revetment) in rivers. Bathymetry is essential for providing the depths and shapes of underwater terrain and it represents the three-dimensional features (or relief) of underwater terrain. Multibeam sonar data were collected using a Norbit integrated...
The objective of this work is to delineate areas in the Upper Mississippi River System where the combined effects of water clarity and water level fluctuation conditions are not limiting the establishment and persistence of submersed aquatic vegetation. We note that other factors, such as herbivory or high current velocity may actively prevent establishment of submersed aquatic vegetation in areas of the Upper Mississippi River System, and that this analysis is based on physical constraints imposed by water clarity and water level fluctuation only. Total suspended solids information was collected by the Upper Mississippi River Restoration program, and water level information was collected by the United State Army...
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This data set represents initial forest communities developed for Isle Royale National Park. LANDIS-II requires an input data layer that contains the ages of each species cohort present within each cell of the landscape. To develop this layer, we matched the composition of forest inventory plots to a map of forest types, and randomly imputed U.S. Department of Agriculture Forest Inventory plots within each matching forest type
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This data release is part of a larger data release including data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. A single raster file is included, and represents a topological classification of the entire county according to a hydrologically conditioned Digital Elevation Model (DEM). These data were generated through the use of r.geomorphon, a GRASS GIS toolkit, to classify local terrain conditions into one of ten distinct landforms called geomorphons.
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The dataset presented here represents a circa 2013 land/water delineation of coastal Louisiana used in part of a larger study to quantify landscape changes from 1932 to 2016. The dataset contains two categories, land and water. For the purposes of this effort, land includes areas characterized by emergent vegetation, upland, wetland forest, or scrub-shrub were classified as land, while open water, aquatic beds, and mudflats were classified as water. For additional information regarding this dataset, refer to USGS SIM 3381.
These datasets were created from high-resolution (1-m) datasets representing median conditions during a 2014-2019 time period. These datasets used National Agricultural Inventory Program (NAIP) imagery, as well as Sentinel-2 satellite imagery, to estimate the fractional composition of unvegetated, vegetated, and water in each pixel. Random samples from these high resolution datasets were used to inform calibration and validation of the moderate resolution (30-m) Landsat datasets. To facilitate comparability with the Landsat datasets, these data were aggregated up to 30-m resolution.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
map background search result map search result map Distance (m) to railroads within the Wyoming Basins Ecoregional Assessment area Oil and Gas Well Density in the Western United States Density of all roads (km/sq km) within a 5-km radius in the Wyoming Basins Ecoregional Assessment area Density of all roads (km/sq km) within a 540-m radius in the Wyoming Basins Ecoregional Assessment area Climate Change Scenario Inundation Metrics along the Upper and Middle Mississippi and Lower Missouri Rivers Circa 1998 Land Area in Coastal Louisiana - Spatial Data - Landsat TM Circa 2013 Land Area in Coastal Louisiana - Spatial Data - Landsat TM Circa 1956 Land Area in Coastal Louisiana - Original Data Source - National Wetlands Inventory - Revisions to Georectification Isle Royal National Park (ISRO): Initial Forest Communities of Isle Royale National Park Predicted number of years from 1993 - 2014 with conditions suitable for submersed aquatic vegetation based on light availability and water level fluctuations for the Upper Mississippi River System (lower submersed aquatic vegetation boundary elevation scenario) A NAIP and Sentinel-2 based quantification of fractional composition of unvegetated, vegetated, and water in the Gulf of Mexico Coast, 2014-2019 used for calibration and validation of Landsat based datasets No Levee (Altered) Inundation Metrics for the Middle Mississippi River SACN Osceola Boat Landing: 2019 Backscatter (Acoustic Reflectivity) Data L5_1989_GOM_Fractional_Land_FAV_SAV_Water L5_1995_GOM_Fractional_Land_FAV_SAV_Water L5_1999_GOM_Fractional_Land_FAV_SAV_Water L5_2000_GOM_Fractional_Land_FAV_SAV_Water L8_2016_GOM_Fractional_Land_FAV_SAV_Water Bathymetry of select Rock Outcrops of the St. Croix River, May 2021 Discrete Classifications of Landforms (Geomorphons) for Anne Arundel County, Maryland in 2017 SACN Osceola Boat Landing: 2019 Backscatter (Acoustic Reflectivity) Data Isle Royal National Park (ISRO): Initial Forest Communities of Isle Royale National Park No Levee (Altered) Inundation Metrics for the Middle Mississippi River Discrete Classifications of Landforms (Geomorphons) for Anne Arundel County, Maryland in 2017 Climate Change Scenario Inundation Metrics along the Upper and Middle Mississippi and Lower Missouri Rivers Circa 2013 Land Area in Coastal Louisiana - Spatial Data - Landsat TM Circa 1956 Land Area in Coastal Louisiana - Original Data Source - National Wetlands Inventory - Revisions to Georectification Circa 1998 Land Area in Coastal Louisiana - Spatial Data - Landsat TM Predicted number of years from 1993 - 2014 with conditions suitable for submersed aquatic vegetation based on light availability and water level fluctuations for the Upper Mississippi River System (lower submersed aquatic vegetation boundary elevation scenario) L5_1989_GOM_Fractional_Land_FAV_SAV_Water L5_1995_GOM_Fractional_Land_FAV_SAV_Water L5_1999_GOM_Fractional_Land_FAV_SAV_Water L5_2000_GOM_Fractional_Land_FAV_SAV_Water L8_2016_GOM_Fractional_Land_FAV_SAV_Water A NAIP and Sentinel-2 based quantification of fractional composition of unvegetated, vegetated, and water in the Gulf of Mexico Coast, 2014-2019 used for calibration and validation of Landsat based datasets Distance (m) to railroads within the Wyoming Basins Ecoregional Assessment area Density of all roads (km/sq km) within a 5-km radius in the Wyoming Basins Ecoregional Assessment area Density of all roads (km/sq km) within a 540-m radius in the Wyoming Basins Ecoregional Assessment area Oil and Gas Well Density in the Western United States