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DisMOSH, Cost, MOSHShoreline: Distance to foraging areas for piping plovers (foraging shoreline, cost mask, and least-cost path distance): Edwin B. Forsythe NWR, NJ, 2013–2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Charadrius melodus, All tags... Coastal Habitat, Coastal and Marine Geology Program, Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, Foraging Ecology, GIS, Geographic Information Systems, Long Beach Island, Long Beach Island, MHW, Mean High Water, NJ, New Jersey, North America, Piping Plovers, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, biota, ecology, environment, geography, geomorphology, geospatial analysis, geospatial datasets, Fewer tags DisOcean: Distance to the ocean: Edwin B. Forsythe NWR, NJ, 2012 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Atlantic Ocean, CMGP, Coastal Habitat, Coastal and Marine Geology Program, Edwin B. Forsythe NWR, All tags... Edwin B. Forsythe NWR, GIS, Geographic Information Systems, Long Beach Island, Long Beach Island, MHW, Mean High Water, NJ, New Jersey, North America, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, barrier island, environment, geomorphology, geospatial analysis, geospatial datasets, oceans, Fewer tags points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Edwin B. Forsythe NWR, NJ, 2010 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Coastal Erosion, All tags... Coastal Habitat, Coastal Hazards, Coastal and Marine Geology Program, Coastal processes, Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, Erosion, GIS, Geographic Information Systems, Long Beach Island, Long Beach Island, MHW, Mean High Water, NJ, New Jersey, North America, Probability, Pullen Island, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags DisOcean: Distance to the ocean: Edwin B. Forsythe NWR, NJ, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Atlantic Ocean, CMGP, Coastal Habitat, Coastal and Marine Geology Program, Edwin B. Forsythe NWR, All tags... Edwin B. Forsythe NWR, GIS, Geographic Information Systems, Long Beach Island, Long Beach Island, MHW, Mean High Water, NJ, New Jersey, North America, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, barrier island, environment, geomorphology, geospatial analysis, geospatial datasets, oceans, Fewer tags American woodcock 2080 conductance This dataset represents the connections between each nearby pair of 2080 cores for American woodcock. It is intended to highlight areas important for connecting cores and to visually represent the connections among refugia cores. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Connecticut, Delaware, District of Columbia, Maine, Maryland, All tags... Massachusetts, New Hampshire, New Jersey, New York, North America, Pennsylvania, Rhode Island, United States, Vermont, Virginia, West Virginia, environment, farming, Fewer tags Blackburnian warbler 2020 conductance This dataset represents the connections between each nearby pair of 2020 cores for Blackburnian warbler. It is intended to highlight areas important for connecting cores and to visually represent the connections among cores. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Connecticut, Delaware, District of Columbia, Maine, Maryland, All tags... Massachusetts, New Hampshire, New Jersey, New York, North America, Pennsylvania, Rhode Island, United States, Vermont, Virginia, West Virginia, biota, environment, Fewer tags Cerulean warbler Climate Refugia 2080 This dataset represents the connections between each nearby pair of 2080 cores for Cerulean warbler. It is intended to highlight areas important for connecting cores and to visually represent the connections among refugia cores. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Connecticut, Delaware, District of Columbia, Maine, Maryland, All tags... Massachusetts, New Hampshire, New Jersey, New York, North America, Pennsylvania, Rhode Island, United States, Vermont, Virginia, West Virginia, environment, farming, Fewer tags Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Maximum Change Likelihood Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acadia National Park, ArcGIS Pro, Arcpy, Autoclassification, Automation, All tags... Bathymetry, Cape Cod National Seashore, Coastal Change Hazard Assessment, Coastal Fabric, Coastal Hazards, Coastal Vulnerability Index, Coastal and Marine Hazards Mission Area, Connecticut, Decision Tree Framework, Delaware, Elevation, Gateway National Recreation Area, George Washington Birthplace National Monument, High Tide Flooding, Interpretation, Land Cover, Landcover, Machine Learning, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Northeast US, Rhode Island, Sea Level Rise, Shoreline Change, St. Croix Island International Historic Site, Storm Overwash, Storm Recurrence, Supervised Classification, Support Vector Machine, Topography, Training Samples, U.S. Geological Survey, USGS, UVVR, Unvegetated-Vegetated Ratio, Virginia, Wave Power, Woods Hole Coastal and Marine Science Center, geoscientificInformation, marine geology, oceans, Fewer tags Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Event Hazards Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acadia National Park, ArcGIS Pro, Arcpy, Autoclassification, Automation, All tags... Bathymetry, Cape Cod National Seashore, Coastal Change Hazard Assessment, Coastal Fabric, Coastal Hazards, Coastal Vulnerability Index, Coastal and Marine Hazards Mission Area, Connecticut, Decision Tree Framework, Delaware, Elevation, Gateway National Recreation Area, George Washington Birthplace National Monument, High Tide Flooding, Interpretation, Land Cover, Landcover, Machine Learning, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Northeast US, Rhode Island, Sea Level Rise, Shoreline Change, St. Croix Island International Historic Site, Storm Overwash, Storm Recurrence, Supervised Classification, Support Vector Machine, Topography, Training Samples, U.S. Geological Survey, USGS, UVVR, Unvegetated-Vegetated Ratio, Virginia, Wave Power, Woods Hole Coastal and Marine Science Center, geoscientificInformation, marine geology, oceans, Fewer tags Modified Mercalli Intensity based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration, with 1-percent probability of exceedance in 1 year for the Central and Eastern United States A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arizona, Arkansas, Colorado, Connecticut, All tags... Delaware, District of Columbia, Earthquake, Florida, Georgia, Hazard, Illinois, Indiana, Induced, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Natural, Nebraska, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, Seismic, South Carolina, South Dakota, Tennessee, Texas, USA, United States, Utah, Vermont, Virginia, West Virginia, Wisconsin, Wyoming, Fewer tags points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Edwin B. Forsythe NWR, NJ, 2013–2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Coastal Erosion, All tags... Coastal Habitat, Coastal Hazards, Coastal and Marine Geology Program, Coastal processes, Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, Erosion, GIS, Geographic Information Systems, Long Beach Island, Long Beach Island, MHW, Mean High Water, NJ, New Jersey, North America, Probability, Pullen Island, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags Land cover classification dataset These are two land cover datasets derived from Landsat Thematic Mapper and Operational Land Imager (spatial resolution 30-m)Path 014 and Rows 032 and 033 surface reflectance data collected on July 14, 2011 and July 19, 2013, before and after Hurricane Sandy made landfall near Brigantine, New Jersey on October 29, 2012. The two land cover data sets provide a means of evaluating the effect of Hurricane Sandy of data sets collected at times that represent or approach peak vegetation growth. The most accurate results of the land cover classification are based on twelve classes, some of which occur adjacent to the marshes but not on the New Jersey intracoastal marshes. Twelve classes were used in the supervised maximum... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Atlantic County, Barnegat Bay, Cape May County, Coastal Zone, Environmental restoration, All tags... Great Bay, Great Egg Harbor Bay, Great Egg Harbor River Estuary, Land Cover Analysis, Landsat Operational Land Imager, Landsat Thematic Mapper, Marsh Surface Condition Maps, Mid-Atlantic Coast, Monmouth County, Mullica River Estuary, New Jersey, New Jersey Intracoastal Marshes, Normalized Difference Soil Index, Normalized Difference Vegetation Index, Normalized Difference Water Index, Ocean County, Remotely Sensed Imagery, Sandy Hook, Surface Reflectance Data, Time-Series Analysis, United States, enrivonment, geoscientificInformation, imageryBaseMapsEarthCover, Fewer tags Elevation raster, Morris Lake (Newton Reservoir), New Jersey, 2018 This dataset contains a bathymetric map of Morris Lake in the form of a raster grid of elevation in feet above the North American Vertical Datum of 1988. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Geospatial Applications, Hydrogeologic Characterization, Morris Lake, New Jersey, Newton, All tags... Newton Reservoir, Township of Sparta, Water Budget, Water Use and Availability Science, bathymetry, bathymetry measurement, elevation, geoscientificInformation, imageryBaseMapsEarthCover, inlandWaters, location, multibeam, single beam sonar, structure, water depth, Fewer tags Bayesian modeling of NURE airborne radiometric data for the conterminous United States: predictions and grids This data release includes estimates of potassium (K), equivalent uranium (eU), and equivalent thorium (eTh) for the conterminous United States derived from the U.S. Geological Survey's national airborne radiometric data compilation (Duval and others, 2005). Airborne gamma ray spectrometry (AGRS) measures the gamma-rays that are emitted from naturally occurring radioactive isotopes found in rocks and soil, the most abundant of which are potassium (K40), uranium (U238), and thorium (Th232). Radiometric data can aid in exploration of critical mineral resources, including deposits of barium, fluorine, titanium, beryllium, niobium, rare-earth elements, and uranium. There is also growing interest in using radiometric... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arizona, Arkansas, California, Colorado, All tags... Connecticut, Delaware, District of Columbia, Florida, GGGSC, Geochemistry, Geology, Geophysics, and Geochemistry Science Center, Geophysics, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, MRP, Maine, Maryland, Massachusetts, Michigan, Mineral Resources, Mineral Resources Program, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico, Rhode Island, Soil Sciences, South Carolina, South Dakota, Tennessee, Texas, USGS Science Data Catalog (SDC), United States, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, aeroradiometric surveying, economy, geophysical maps, geoscientificInformation, mineral resources, potassium, soil chemistry, thorium, uranium, Fewer tags Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Hazard Impact Type Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acadia National Park, ArcGIS Pro, Arcpy, Autoclassification, Automation, All tags... Bathymetry, Cape Cod National Seashore, Coastal Change Hazard Assessment, Coastal Fabric, Coastal Hazards, Coastal Vulnerability Index, Coastal and Marine Hazards Mission Area, Connecticut, Decision Tree Framework, Delaware, Elevation, Gateway National Recreation Area, George Washington Birthplace National Monument, High Tide Flooding, Interpretation, Land Cover, Landcover, Machine Learning, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Northeast US, Rhode Island, Sea Level Rise, Shoreline Change, St. Croix Island International Historic Site, Storm Overwash, Storm Recurrence, Supervised Classification, Support Vector Machine, Topography, Training Samples, U.S. Geological Survey, USGS, UVVR, Unvegetated-Vegetated Ratio, Virginia, Wave Power, Woods Hole Coastal and Marine Science Center, geoscientificInformation, marine geology, oceans, thbbt, Fewer tags Multibeam bathymetric data collected in Little Egg Inlet and offshore the southern end of Long Beach Island, NJ, during USGS Field Activity 2018-001-FA, using a dual-head Reson T20-P multibeam echosounder (32-bit GeoTIFF, UTM Zone 18N, NAD 83, NAVD 88 Vertical Datum, 4-m resolution) The natural resiliency of the New Jersey barrier island system, and the efficacy of management efforts to reduce vulnerability, depends on the ability of the system to recover and maintain equilibrium in response to storms and persistent coastal change. This resiliency is largely dependent on the availability of sand in the beach system. In an effort to better understand the system's sand budget and processes in which this system evolves, high-resolution geophysical mapping of the sea floor in Little Egg Inlet and along the southern end of Long Beach Island near Beach Haven, New Jersey was conducted from May 31 to June 10, 2018, followed by a sea floor sampling survey conducted from October 22 to 23, 2018, as part... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Beach Haven, CMHRP, Coastal and Marine Hazards and Resources Program, DOI, Department of the Interior, All tags... Forsythe Wildlife Refuge, GeoTIFF, Holgate, Little Egg Inlet, Long Beach Island, Marine Geology, New Jersey, R/V Petrel, Reson, Stockton University, T20P, U.S. Geological Survey, USGS, United States of America, WHCMSC, Woods Hole Coastal and Marine Science Center, backscatter, bathymetry, bathymetry, elevation, field activity number 2018-001-FA, field activity number 2018-049-FA, geoscientificInformation, imageryBaseMapsEarthCover, marine geology, marine geophysics, multibeam backscatter, multibeam bathymetry, multibeam echosounder, multibeam sonar, oceans, sea-floor acoustic reflectivity, Fewer tags Moose 2020 conductance This dataset represents the connections between each nearby pair of 2020 cores for Moose. It is intended to highlight areas important for connecting cores and to visually represent the connections among cores. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Connecticut, Delaware, District of Columbia, Maine, Maryland, All tags... Massachusetts, New Hampshire, New Jersey, New York, North America, Pennsylvania, Rhode Island, United States, Vermont, Virginia, West Virginia, biota, environment, Fewer tags Saltmarsh sparrow 2020 conductance This dataset represents the connections between each nearby pair of 2020 cores for Saltmarsh sparrow. It is intended to highlight areas important for connecting cores and to visually represent the connections among cores. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Connecticut, Delaware, District of Columbia, Maine, Maryland, All tags... Massachusetts, New Hampshire, New Jersey, New York, North America, Pennsylvania, Rhode Island, United States, Vermont, Virginia, West Virginia, biota, environment, Fewer tags Box turtle Landscape Capability This dataset represents the connections between each nearby pair of 2080 cores for Box turtle. It is intended to highlight areas important for connecting cores and to visually represent the connections among refugia cores. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Connecticut, Delaware, District of Columbia, Maine, Maryland, All tags... Massachusetts, New Hampshire, New Jersey, New York, North America, Pennsylvania, Rhode Island, United States, Vermont, Virginia, West Virginia, environment, farming, Fewer tags Bicknell's thrush 2020 conductance This dataset represents the connections between each nearby pair of 2020 cores for Bicknell's thrush. It is intended to highlight areas important for connecting cores and to visually represent the connections among cores. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Connecticut, Delaware, District of Columbia, Maine, Maryland, All tags... Massachusetts, New Hampshire, New Jersey, New York, North America, Pennsylvania, Rhode Island, United States, Vermont, Virginia, West Virginia, biota, environment, Fewer tags 1 2 3 4 »