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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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This publication provides digital flight line data for a high-resolution magnetic survey over an area of the central Upper Peninsula of Michigan. The survey area lies approximately between the towns of Iron Mountain and Chatham. Data for this survey were collected by EON Geosciences under contract with the USGS using a fixed wing aircraft with a magnetometer mounted in the tail stinger. The survey operated out of the Sawyer International Airport near Marquette, Michigan, from June of 2018 to September of 2018. A total of 38,474 line km of data were collected. Data were collected along north-south flight lines spaced 150 meters apart with east-west tie lines flown every 1,500 meters. The nominal terrain clearance...
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Substrate was classified using the method of Cochrane and Lafferty (2002) for this study. Seafloor character derived from towed sidescan sonar data is available for the mainland coast within the study area from USGS online publications (Cochrane and others, 2003; Cochrane and others, 2005). The number of substrate classes was reduced because rugosity could not be derived for all areas due to the lack of bathymetry data for other data sets used in the study. References Cited: Cochrane, G.R., Nasby, N.M., Reid, J.A., Waltenberger, B., Lee, K.M., 2003, Nearshore Benthic Habitat GIS for the Channel Islands National Marine Sanctuary and Southern California State Fisheries Reserves Volume 1: U.S. Geological Survey Open-File...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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This part of DS 781 presents 2-m-resolution Reson 8101 data for the acoustic-backscatter map of the Offshore of Monterey map area, California. These metadata describe acoustic-backscatter data collected and processed by California State University, Monterey Bay (CSUMB), Seafloor Mapping Lab and processed into a map sheet by the U.S. Geological Survey. The raster data files are included in "Backscatter _8101_Monterey.zip," which is accessible from http://dx.doi.org/10.3133/ofr20161110. This 2-m-resolution Reson 8101 acoustic backscatter map of Offshore of Monterey map area, California, was generated from backscatter data collected by CSUMB using a 244-kHz Reson 8101 multibeam echosounder. Within the final imagery,...
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This part of DS 781 presents 2-m-resolution SWATHPlus data for the acoustic-backscatter map of Offshore of Monterey map area, California. These metadata describe acoustic-backscatter data collected and processed by California State University, Monterey Bay (CSUMB), Seafloor Mapping Lab and processed into a map sheet by the U.S. Geological Survey. The raster data files are included in "Backscatter _SWATH_Monterey.zip," which is accessible from http://dx.doi.org/10.5066/F7F47M6T. This 2-m-resolution SWATHPlus acoustic backscatter map of Offshore of Monterey map area, California, was generated from backscatter data collected by CSUMB using 234-kHz and 468-kHz SEA SWATHplus bathymetric sidescan-sonar systems. Within...
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This part of DS 781 presents data for 2-m and 5-m bathymetry and shaded-relief maps of Offshore of Monterey map area, California. The raster data file is included in "BathymetryHS_5m_OffshoreMonterey.zip," which is accessible from http://dx.doi.org/10.3133/ofr20161110. The 2-m and 5-m bathymetry and shaded-relief maps of Offshore of Monterey map area, California, was generated from acoustic bathymetry data collected by California State University, Monterey Bay (CSUMB) and by Monterey Bay Aquarium Research Institute (MBARI), as well as from bathymetric lidar data collected by the U.S. Army Corps of Engineers, Joint Airborne Lidar Bathymetry Center of Expertise (JALBTCX). Acoustic mapping was completed between 1998...
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A raster dataset of the appropriate management levels of burros in BLM Herd Management Areas (HMAs) and USFS Wild Horse and Burro Territories (WHBT) within Reslience and Resistance classes within the GRSG management zones. This dataset was made by adding the Resilience and Resistance raster to a raster of horse AML levels.
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This part of DS 781 presents 2-m-resolution data collected by Fugro Pelagos for the acoustic-backscatter map of the Offshore of Gaviota Map Area, California. The GeoTiff is included in "Backscatter_[Fugro]_OffshoreGaviota.zip," which is accessible from https://doi.org/10.5066/F7TH8JWJ. The acoustic-backscatter map of the Offshore of Gaviota map area in southern California was generated from acoustic-backscatter data collected by the U.S. Geological Survey (USGS) and by Fugro Pelagos Inc. Acoustic mapping was completed between 2007 and 2008 using a combination of 400-kHz Reson 7125, 240-kHz Reson 8101, and 100-kHz Reson 8111 multibeam echosounders, as well as a 234-kHz SEA SWATHplus bathymetric sidescan-sonar system....
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This part of DS 781 presents data for the sediment-thickness map of the Point Conception to Hueneme Canyon, California, region. The raster data file is included in "SedimentThickness_PointConceptionToHuenemeCanyon.zip," which is accessible from https://doi.org/10.5066/F7891424. As part of the USGS's California State Waters Mapping Project, a 50-m grid of sediment thickness for the seafloor within the 3-nautical mile limit between Point Conception and Hueneme Canyon was generated from seismic-reflection data collected in 2014 (USGS activity 2014-632-FA) supplemented with outcrop and geologic structure (fault) information following the methodology of Wong (2012). This sediment thickness layer was merged with a previously...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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This part of DS 781 presents data for the bathymetry and shaded-relief maps of Offshore Santa Cruz, California. The raster data file is included in "Bathymetry_OffshoreSantaCruz.zip", which is accessible from http://dx.doi.org/10.5066/F7TM785G.The bathymetry and shaded-relief maps of Offshore Santa Cruz, California, were generated from bathymetry data collected by the U.S. Geological Survey (USGS). Mapping was completed in 2009 using a 234-kHz SWATHplus bathymetric sidescan-sonar system. The mapping mission collected bathymetry data from about the 10-m isobath to beyond the 3-nautical-mile limit of California's State Waters. NOTE: The horizontal datum of this bathymetry data (NAD83) differs from the horizontal datum...
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This part of SIM 3281 presents data for the bathymetry and shaded-relief maps (see sheets 1, 2, SIM 3281) of the Offshore of Santa Barbara map area, California. The raster data file for the bathymetry map is included in "Bathymetry_OffshoreSantaBarbara.zip." The raster data file for the shaded-relief map is included in "BathymetryHS_OffshoreSantaBarbara.zip." Both are accessible from http://pubs.usgs.gov/ds/781/OffshoreSantaBarbara/data_catalog_OffshoreSantaBarbara.html.The bathymetry and shaded-relief maps of the Offshore of Santa Barbara map area, California, were generated from bathymetry data collected by California State University, Monterey Bay, Seafloor Mapping Lab (CSUMB), by the U.S. Geological Survey (USGS),...
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In spring and summer 2017, the U.S. Geological Survey’s Gas Hydrates Project conducted two cruises aboard the research vessel Hugh R. Sharp to explore the geology, chemistry, ecology, physics, and oceanography of sea-floor methane seeps and water column gas plumes on the northern U.S. Atlantic margin between the Baltimore and Keller Canyons. Split-beam and multibeam echo sounders and a chirp subbottom profiler were deployed during the cruises to map water column backscatter, sea-floor bathymetry and backscatter, and subsurface stratigraphy associated with known and undiscovered sea-floor methane seeps. The first cruise, known as the Interagency Mission for Methane Research on Seafloor Seeps and designated as field...
Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 7160, Accomac Canyon, Atlantic Margin, Atlantic Ocean, CMHRP, All tags...


map background search result map search result map Bathymetry--Offshore of Santa Barbara, California Soil available water capacity in the Wyoming Basins Ecoregional Assessment area Bathymetry--Offshore Santa Cruz, California Sidescan seafloor character Santa Barbara Channel Geohab Backscatter [8101]--Offshore of Monterey Map Area, California Backscatter [Swath]-- Offshore of Monterey Map Area, California Bathymetry Hillshade [5m]--Offshore of Monterey Map Area, California Backscatter [Fugro]--Offshore of Gaviota Map Area, California Sediment Thickness--Point Conception to Hueneme Canyon, California Precipitation (Mean: Annual) - 2070-2100 - RCP8.5 - Min Temperature (Mean: Annual) - 1980-2010 Precipitation (Proportion May - Oct) - 2070-2100 - RCP8.5 - Mean Precipitation (Mean: July - Sep) - 2070-2100 - RCP8.5 - Min Temperature (Mean: Apr - June) - 2070-2100 - RCP4.5 - Mean Temperature (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Max Temperature (Mean: Dec - Mar) - 2020-2050 - RCP8.5 - Max Burro AML Levels of BLM HMAs and USFS WHBTs within Resilience and Resistance Classes Raster points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Cobb Island, VA, 2014 Multibeam echo sounder - GeoTIFF images for processed Reson 7160 seafloor backscatter data collected during USGS field activities 2017-001-FA and 2017-002-FA Airborne magnetic survey, Iron Mountain-Chatham region, central Upper Peninsula, Michigan, 2018 Backscatter [Swath]-- Offshore of Monterey Map Area, California points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Cobb Island, VA, 2014 Bathymetry--Offshore of Santa Barbara, California Bathymetry--Offshore Santa Cruz, California Bathymetry Hillshade [5m]--Offshore of Monterey Map Area, California Backscatter [8101]--Offshore of Monterey Map Area, California Sediment Thickness--Point Conception to Hueneme Canyon, California Airborne magnetic survey, Iron Mountain-Chatham region, central Upper Peninsula, Michigan, 2018 Multibeam echo sounder - GeoTIFF images for processed Reson 7160 seafloor backscatter data collected during USGS field activities 2017-001-FA and 2017-002-FA Soil available water capacity in the Wyoming Basins Ecoregional Assessment area Burro AML Levels of BLM HMAs and USFS WHBTs within Resilience and Resistance Classes Raster Precipitation (Mean: Annual) - 2070-2100 - RCP8.5 - Min Temperature (Mean: Annual) - 1980-2010 Precipitation (Proportion May - Oct) - 2070-2100 - RCP8.5 - Mean Precipitation (Mean: July - Sep) - 2070-2100 - RCP8.5 - Min Temperature (Mean: Apr - June) - 2070-2100 - RCP4.5 - Mean Temperature (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Max Temperature (Mean: Dec - Mar) - 2020-2050 - RCP8.5 - Max