Filters: Types: OGC WFS Layer (X) > Categories: Data (X) > Types: Downloadable (X) > Types: Citation (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)
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Spatial polygons of vegetation zones in 1988 for wetlands; P1, P2, P3, P4, P7, P8, T2, T3, T4, T5, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 1988 using Stewart and Kantrud classification system.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cottonwood Lake Study Area,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
Spatial polygons of vegetation zones in 2000 for wetlands; P1, P2, P3, P4, P6, P7, P8, P11, T1, T2, T3, T4, T5, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 2000 using Stewart and Kantrud classification system.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cottonwood Lake Study Area,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
Spatial polygons of vegetation zones in 2009 for wetlands; P1, P2, P3, P4, P6, P7, P8, P11, T1, T2, T3, T4, T5, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 2009 using Stewart and Kantrud classification system.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cottonwood Lake Study Area,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
Spatial polygons of vegetation zones in 1979 for wetlands; P3, P4, T3, T4, T5, T6, and T8 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 1979 using Stewart and Kantrud classification system.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cottonwood Lake Study Area,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
Spatial polygons of vegetation zones in 2010 for wetlands; P1, P2, P3, P4, P6, P7, P8, P11, T1, T2, T3, T4, T5, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 2010 using Stewart and Kantrud classification system.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cottonwood Lake Study Area,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
Spatial polygons of vegetation zones in 1983 for wetlands; P1, P2, P3, P4, P7, P8, T2, T3, T4, T5, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 1983 using Stewart and Kantrud classification system.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cottonwood Lake Study Area,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
Shapefile created by USGS. This is a polygon created from Landsat TM imagery. All Landsat 4-5 TM images overlapping the Missouri River downstream from Gavins Point Dam were identified and examined for lack of clouds. Usable images were classified into sand, vegetation, and water. Classified images were then merged, and the number of times a given pixel was classified as either sand, vegetation, or water were computed. The presented dataset represents pixels which were classified as sand in greater than 5% of images which were collected during a growing season defined as julian day 116-296 (to preclude vegetated islands, which classify as sand outside of foliation), translated into polygons.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Iowa,
Kansas,
Missouri,
Nebraska,
South Dakota,
Estuary vegetation cover delineated from 28 August 2014 0.15-meter-resolution NPS Elwha PlaneCam aerial imagery at a scale of 1:1500.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Clallam County,
Elwha River,
Olympic Peninsula,
Port Angeles,
United States of America,
This polygon shapefile is part of a data release of the Oregon outer continental shelf (OCS) proposed wind farm map site. The polygons have attribute values for Coastal and Marine Ecological Classification Standard (CMECS) geoforms, substrate, and modifiers. CMECS is the U.S. government standard for marine habitat characterization and was developed by representatives from a consortium of federal agencies. The standard provides an ecologically relevant structure for biologic, geologic, chemical, and physical habitat attributes. This map illustrates the geoform and substrate components of the standard. The CMECS classes are documented at https://www.fgdc.gov/standards/projects/FGDC-standards-projects/cmecs-folder/CMECS_Version_06-2012_FINAL.pdf....
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: BOEM,
Bureau of Ocean Energy Management,
CMECS,
CMGP,
Coastal and Marine Geology Program,
This dataset includes the magnetotelluric (MT) sounding data collected in 2008 in and near the Patagonia Mountains of Arizona. The U.S. Geological Survey (USGS) conducted a series of multidisciplinary studies as part of the Assessment Techniques for Concealed Mineral Resources project funded by the USGS Minerals Resources Program in cooperation with the U.S. Forest Service.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
CGGSC,
Crustal Geophysics and Geochemistry Science Center,
Cumero Canyon,
Electromagnetic surveying,
Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Atlantic Coast,
CMGP,
Coastal and Marine Geology Program,
Cumberland Island,
DSAS,
Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Accretion,
Atlantic Coast,
CMGP,
Coastal and Marine Geology Program,
Cumberland Island,
A comparison of the 2017 USGS South America seismic hazard model and the 2010 USGS preliminary model was made to see how the models differ. The comparison was made as the ratio of PGA at 10% probability of exceedance in 50 years. The ratio map is included here as a geo-referenced tiff (GeoTIFF). The gridded data for the 2017 PGA at 10% probability can be found here, while the gridded data for the 2010 PGA at 10% probability can be found in the zip archive that can be downloaded using a link on this page.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Raster,
Shapefile;
Tags: Argentina,
Bolivia,
Brazil,
Chile,
Colombia,
Maximum considered earthquake geometric mean peak ground acceleration maps (MCEG) are for assessment of the potential for liquefaction and soil strength loss, as well as for determination of lateral earth pressures in the design of basement and retaining walls. The maps are derived from the USGS seismic hazard maps in accordance with the site-specific ground-motion procedures of the NEHRP Recommended Seismic Provisions for New Building and Other Structures and the ASCE Minimum Design Loads for Buildings and Other Structures (also known as the ASCE 7 Standard; ASCE, 2016). The MCEG ground motions are taken as the lesser of probabilistic and deterministic values, as explained in the Provisions. The gridded probabilistic...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Argentina,
Bolivia,
Brazil,
Chile,
Colombia,
A comparison of the 2017 USGS South America seismic hazard model and the Global Seismic Hazard Assessment Program (GSHAP) model was made to see how the models differ. The comparison was made as the ratio of PGA at 10% probability of exceedance in 50 years. The ratio map is included here as a geo-referenced tiff (GeoTIFF). The gridded data for the 2017 PGA at 10% probability can be found here, while the GSHAP data can be found here. Shedlock, K.M., Giardini, Domenico, Grünthal, Gottfried, and Zhang, Peizhan, 2000, The GSHAP Global Seismic Hazar Map, Sesimological Research Letters, 71, 679-686. https://doi.org/10.1785/gssrl.71.6.679
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Raster,
Shapefile;
Tags: Argentina,
Bolivia,
Brazil,
Chile,
Colombia,
From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir. A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment. Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: GPS measurement,
Rondout Reservoir,
Sullivan County,
Ulster County,
bathymetry,
From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir. A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment. Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Delaware County,
GPS measurement,
Pepacton Reservoir,
bathymetry,
single-beam echo sounder
Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: AL,
Alabama,
CMGP,
Coastal and Marine Geology Program,
DSAS,
Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Accretion,
Breton Islands,
Breton National Wildlife Refuge,
CMGP,
Chandeleur Islands,
Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Accretion,
Atlantic Coast,
CMGP,
Cape Hatteras,
Cape Lookout,
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