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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, CMHRP, Coastal Erosion, All tags...
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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, CMHRP, Coastal Erosion, All tags...
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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...
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7 aerial photographs were taken along the Little Missouri River in 1949. All images were geo-referenced to the 1995 digital orthophoto quarter quadrangles as described by Miller and Friedman (2009). Both the flood plain and active channel of the river were delineated on the 1995 digital orthophoto quadrangles and overlaid on rectified photos. ArcGIS was used to draw the polygons that delineate the flood plain and active channel; the delineation was saved as a SHP file. The separate images (geoTIFFs) can be viewed as a composite along with that year's channel delineation (SHP file) using a geographic information system (GIS) application. Reference: Miller, J.R., and J.M. Friedman. 2009. Influence of flow variability...
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8 aerial photographs were taken along the Little Missouri River in 1958. All images were geo-referenced to the 1995 digital orthophoto quarter quadrangles as described by Miller and Friedman (2009). Both the flood plain and active channel of the river were delineated on the 1995 digital orthophoto quadrangles and overlaid on rectified photos. ArcGIS was used to draw the polygons that delineate the flood plain and active channel; the delineation was saved as a SHP file. The separate images (geoTIFFs) can be viewed as a composite along with that year's channel delineation (SHP file) using a geographic information system (GIS) application. Reference: Miller, J.R., and J.M. Friedman. 2009. Influence of flow variability...
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The U.S. Geological Survey (USGS), in cooperation with the Oklahoma Water Resources Board, produced this data release that includes vector and raster geographic information systems layers used in the analysis and publication of a mean annual runoff and annual runoff variability map for 1940–2007 for Oklahoma. The data release covers all 69 8-digit hydrologic units with at least 1 square mile of area in Oklahoma; those 8-digit hydrologic units contain 2,870 12-digit hydrologic units that provided the geographic framework for the analysis described in the companion map report (USGS Scientific Investigations Map 3482). The mean annual runoff and annual runoff variability values presented in this data release are most...
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Summary This data release contains postprocessed model output from simulations of hypothetical rapid motion of landslides, subsequent wave generation, and wave propagation. A modeled tsunami wave was generated by rapid motion of unstable material into Barry Arm Fjord. This wave propagated through Prince William Sound and then into Passage Canal east of Whittier. Here we consider only the largest wave-generating scenario presented by Barnhart and others (2021a, 2021b) and use a simulation setup similar to that work. The results presented here are not identical to those presented in Barnhart and others (2021a, 2021b) because the results in this data release were obtained using an expanded dataset of topography and...
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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...
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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...
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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...
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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, CMHRP, Cape Lookout, All tags...
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4 aerial photographs were taken along the Little Missouri River in 1982. All images were geo-referenced to the 1995 digital orthophoto quarter quadrangles as described by Miller and Friedman (2009). Both the flood plain and active channel of the river were delineated on the 1995 digital orthophoto quadrangles and overlaid on rectified photos. ArcGIS was used to draw the polygons that delineate the flood plain and active channel; the delineation was saved as a SHP file. The separate images (geoTIFFs) can be viewed as a composite along with that year's channel delineation (SHP file) using a geographic information system (GIS) application. Reference: Miller, J.R., and J.M. Friedman. 2009. Influence of flow variability...
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This data release includes data collected from the Villa Grove helicopter magnetic survey in northern San Luis Valley and Poncha Pass region in south-central Colorado, USA. The survey area extends over the northern part of Great Sand Dunes National Park, Poncha Pass and vicinity, and into the southern end of the Upper Arkansas Valley. It includes the communities of Crestone, Villa Grove, Saguache, and Salida. Several U.S. Geological Survey programs (including the National Cooperative Geologic Mapping Program, Mineral Resources Program, and Geothermal Program), as well as the Colorado Geological Survey, funded the survey. The data are part of studies to help refine our knowledge in this area about the nature of aquifers,...
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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...
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On October 13, 2020 a survey of Upper Letts Lake was conducted where both bathymetric and terrestrial lidar data were collected. Additionally, six bed material samples and three core samples were collected to understand the characterization of the grain-size of the lake bed. Survey data were merged with an additional lidar dataset from the USGS 3DEP program to create digital elevation model (DEM). The DEM was used to update the stage-storage and stage-surface area tables for the reservoir. This data release provides the following data sets; 1) bathymetric and terrestrial elevation data, 2) Combined bathymetric and 3DEP DEM, 3) stage-storage and stage-surface area tables from DEM, and 4) bed material grain-size and...
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During the spring of 2001, water levels were measured in 427 wells in the Sparta-Memphis aquifer in Arkansas and the Sparta aquifer in Louisiana. Water-quality samples were collected for temperature and specific-conductance measurements during the spring and summer of 2001 from 150 wells in Arkansas in the Sparta-Memphis aquifer. Dissolved chloride samples were collected and analyzed for 87 of the 150 wells. Water-quality samples were not collected in Louisiana. Maps of areal distribution of potentiometric surface, difference in water-level measurements from 1997 to 2001, and specific conductance generated from these data reveal spatial trends across the study area. The highest water-level altitude measured in Arkansas...
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The potentiometric surface of the Sparta Sand in northern Louisiana is shown by contours on four maps. Maps for 1900, 1965 , and spring 1975 are generalized, small-scale maps from previously published reports. The spring 1980 map (1:500,000) is based on measurements in 144 wells and includes the southern tier of counties in southern Arkansas. The map shows regional effects of pumping from the Sparta Sand and effects of local pumping centers at Magnolia and El Dorado, Ark., and at Minden, Ruston, Jonesboro-Hodge, Winnfield, Bastrop, and in the Monroe area of Louisiana. (USGS) First release: April, 2019; revised April 2021 (version 1.1). The previous version can be obtained by contacting the USGS Lower Mississippi-Gulf...
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This data release is a re-release of an airborne geophysical survey carried out for the United States Geological Survey (USGS) by Spectra Exploration Geoscience Corp., from November 2000 to February 2001. The purpose of this survey was to acquire high-resolution, high-sensitivity aeromagnetic data over an area in northeast and north-central North Dakota and assess the area for anomalies and magnetic features pertaining to the local geology. To achieve this purpose, the survey area was systematically traversed by an aircraft carrying geophysical instruments along parallel flight lines (traverses) spaced 0.25 miles (400 meters) apart in an east-west alignment. Tie lines were flown normal to the traverses spaced at...
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8 aerial photographs were taken along the Little Missouri River in 1939. All images were geo-referenced to the 1995 digital orthophoto quarter quadrangles as described by Miller and Friedman (2009). Both the flood plain and active channel of the river were delineated on the 1995 digital orthophoto quadrangles and overlaid on rectified photos. ArcGIS was used to draw the polygons that delineate the flood plain and active channel; the delineation was saved as a SHP file. The separate images (geoTIFFs) can be viewed as a composite along with that year's channel delineation (SHP file) using a geographic information system (GIS) application. Reference: Miller, J.R., and J.M. Friedman. 2009. Influence of flow variability...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Kensico Reservoir from June to August, 2018. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with...


map background search result map search result map Shapefiles and Historical Aerial Photographs, Little Missouri River, 1939 Shapefiles and Historical Aerial Photographs, Little Missouri River, 1949 Shapefiles and Historical Aerial Photographs, Little Missouri River, 1958 Shapefiles and Historical Aerial Photographs, Little Missouri River, 1982 Digitized Contours from Georeferenced Plate 1980 from "Potentiometric maps of the Sparta Sand, northern Louisiana and southern Arkansas, 1900, 1965, 1975, and 1980" (Ryals, 1980; version 1.1, April 2021) Digitized Contours from Georeferenced Plate 2001 from "Status of water levels and selected water-quality conditions in the Sparta-Memphis aquifer in Arkansas and the Sparta aquifer in Louisiana, spring-summer 2001" High Resolution Aeromagnetic Survey, Villa Grove, Colorado, USA, 2011 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, 2012 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Fire Island, NY, 2010–2011 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Fire Island, NY, 2012 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Rockaway Peninsula, NY, 2012 DisMOSH, Cost, MOSH_Shoreline: Distance to foraging areas for piping plovers including foraging shoreline, cost mask, and least-cost path distance: Cape Lookout, NC, 2014 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Cape Lookout, NC, 2014 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Myrtle Island, VA, 2014 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Ship Shoal Island, VA, 2014 Geospatial bathymetry datasets for Kensico Reservoir, New York, 2018 Stage-Storage and Bed Material Data from the 2020 Upper Letts Lake Survey, California Data release for mean annual runoff and annual runoff variability map for Oklahoma, 1940–2007 Simulated inundation extent and depth at Whittier, Alaska resulting from the hypothetical rapid motion of landslides into Barry Arm Fjord, Prince William Sound, Alaska Airborne magnetic survey over northeast North Dakota, 2000-2001 Stage-Storage and Bed Material Data from the 2020 Upper Letts Lake Survey, California Simulated inundation extent and depth at Whittier, Alaska resulting from the hypothetical rapid motion of landslides into Barry Arm Fjord, Prince William Sound, Alaska points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Ship Shoal Island, VA, 2014 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Myrtle Island, VA, 2014 Geospatial bathymetry datasets for Kensico Reservoir, New York, 2018 Shapefiles and Historical Aerial Photographs, Little Missouri River, 1958 Shapefiles and Historical Aerial Photographs, Little Missouri River, 1939 Shapefiles and Historical Aerial Photographs, Little Missouri River, 1982 Shapefiles and Historical Aerial Photographs, Little Missouri River, 1949 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, 2012 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Fire Island, NY, 2010–2011 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Fire Island, NY, 2012 DisMOSH, Cost, MOSH_Shoreline: Distance to foraging areas for piping plovers including foraging shoreline, cost mask, and least-cost path distance: Cape Lookout, NC, 2014 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Cape Lookout, NC, 2014 High Resolution Aeromagnetic Survey, Villa Grove, Colorado, USA, 2011 Digitized Contours from Georeferenced Plate 1980 from "Potentiometric maps of the Sparta Sand, northern Louisiana and southern Arkansas, 1900, 1965, 1975, and 1980" (Ryals, 1980; version 1.1, April 2021) Airborne magnetic survey over northeast North Dakota, 2000-2001 Digitized Contours from Georeferenced Plate 2001 from "Status of water levels and selected water-quality conditions in the Sparta-Memphis aquifer in Arkansas and the Sparta aquifer in Louisiana, spring-summer 2001" Data release for mean annual runoff and annual runoff variability map for Oklahoma, 1940–2007