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Digital elevation models (DEMs) were created from aerial imagery collected May 08 and 09, 2020, along the North Carolina coast between the Virginia-North Carolina border vicinity and Cape Lookout, North Carolina. These DEMs were created to document recovery ground conditions after Hurricane Dorian, which made landfall on the North Carolina coast on September 6, 2019. The DEMs help researchers document inter-annual changes in shoreline position and coastal morphology in response to storm events using aerial imagery collections and a structure from motion (SFM) workflow. These data can be used with geographic information systems or other software to identify topographic and shallow-water bathymetric features.
Tags: Atlantic Ocean, Bathymetry and Elevation, Beaufort Inlet, CMHRP, Cape Hatteras, All tags...
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Digital elevation models (DEMs) were created from aerial imagery collected between August 30 and September 2, 2019, along the North Carolina coast between the Virginia-North Carolina border vicinity and Cape Lookout, North Carolina. These DEMs were created to document ground conditions prior to Hurricane Dorian, which made landfall on the North Carolina coast on September 6, 2019. The digital elevation models (DEMs) help researchers estimate the land surface before Hurricane Dorian and were created to document inter-annual changes in shoreline position and coastal morphology in response to storm events using aerial imagery collections and a structure from motion (SFM) workflow. These data can be used with geographic...
Tags: Atlantic Ocean, Bathymetry and Elevation, Beaufort Inlet, CMHRP, Cape Hatteras, All tags...
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Orthoimages were created from aerial imagery collected between August 30 and September 2, 2019, along the North Carolina coast between the Virginia-North Carolina border vicinity and Cape Lookout, North Carolina. These RBG-averaged orthoimages were created to document ground conditions prior to Hurricane Dorian, which made landfall on the North Carolina coast on September 6, 2019. The RBG-averaged orthoimages help researchers estimate the land surface before Hurricane Dorian and were created to document inter-annual changes in shoreline position and coastal morphology in response to storm events using aerial imagery collections and a structure from motion (SFM) workflow. These data can be used with geographic information...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Atlantic Ocean, Bathymetry and Elevation, Beaufort Inlet, CMHRP, Cape Hatteras, All tags...
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RGB-averaged orthoimages were created from aerial imagery collected February 08 and 09, 2020, along the North Carolina coast between the Virginia-North Carolina border vicinity and Cape Lookout, North Carolina. These RGB-averaged orthoimages were created to document recovery ground conditions after Hurricane Dorian, which made landfall on the North Carolina coast on September 6, 2019. The RGB-averaged orthoimages help researchers document inter-annual changes in shoreline position and coastal morphology in response to storm events using aerial imagery collections and a structure from motion (SFM) workflow. These data can be used with geographic information systems or other software to identify topographic and shallow-water...
Tags: Atlantic Ocean, Bathymetry and Elevation, Beaufort Inlet, CMHRP, Cape Hatteras, All tags...
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This 25-m-resolution surface presents bathymetric change of San Pablo Bay, California, from 1983 to 2015. This surface compares a 1-m-resolution digital elevation model (DEM) of the northern portion of San Francisco Bay (Fregoso and others, 2020), comprised of bathymetry data in the San Pablo Bay region from the time period referred to as the 2010s because the majority of the surveys were in that decade, to a 25-m-resolution bathymetric DEM of San Pablo Bay comprised of historic surveys from 1983 to 1986 (referred to as the 1980s because the majority of the surveys were in that decade). The creation of this change surface involved the resampling of the 1-m-resolution 2010s DEM to match the 25-m-resolution of the...
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(Hyperlink to Official Landing Page for Geospatial Fabric products) This dataset contains a set of attributes describing the "nhru" GIS features (Hydrologic Response Units)in the Geospatial Fabric Features dataset(http://dx.doi.org/doi:10.5066/F7542KMD) that have been developed in support of the USGS PRMS watershed model. These tables are organized according to Geospatial Fabric Region; see the thumbnail of the Geospatial Fabric Features Regions (https://www.sciencebase.gov/catalog/item/535edb4ae4b08e65d60fc837). Each table contains a key field, "hru_id", that can be used to relate to the nhru feature class in the Geospatial Fabric Feature dataset for the corresponding Region. The methodologies used to derive the...
Rising global demand for energy, high energy prices, climate change, and the threat of terrorism all point to the need for greater energy efficiency and conservation in the United States. While technological innovation is plainly needed, our laws and institutional arrangements must also play an important role. The United States has scores of legal and policy tools from which to choose to improve energy efficiency and curb energy consumption. This Article, which grows out of a Spring 2006 seminar at theWidener University School of Law, evaluates a handful of these tools: transit-oriented development; fuel taxation; real-time pricing for electricity use; public benefit funds; improving the efficiency of existing residential...
This data release includes the data used to generate histograms that compared total watershed pollutant removal efficiency (TWPRE) in the two study watersheds Crystal Rock (traditional watershed) and Tributary (Trib.) 104 low impact development (LID watershed) to determine if LID BMP design offered an improved water quality benefit. Input/calibrants data used in the model (Monte Carlo) are described in the manuscript as mentioned in the list below: -BMP Name and Type: references in the manuscript -BMP Connectivity: Proprietary (derived from Montgomery County GIS Data) -BMP Drainage Areas: Proprietary (derived from Montgomery County GIS Data) -BMP Efficiency Ranges: referenced in manuscript -Baseline Pollutant Loadings:...
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This 25-m-resolution surface presents bathymetric change of Suisun Bay, California, from 1988 to 2016. This surface compares a 1-m-resolution digital elevation model (DEM) of the northern portion of San Francisco Bay (Fregoso and others, 2020), comprised of bathymetry data in the Suisun region from the time period referred to as the 2010s because the majority of the surveys were in that decade, to a 25-m-resolution bathymetric DEM of Suisun Bay comprised of historic surveys from 1988 to 1990 (referred to as the 1990s because the majority of the surveys were in that decade). The creation of this change surface involved the resampling of the 1-m-resolution 2010s DEM to match the older 25-m-resolution of the 1990s...
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Contamination to aquatic resources from co-produced water (brine) associated with energy development has been documented in the northeastern portion of the Williston Basin; an area mantled by glacial drift. The presence and magnitude of brine contamination can be determined using the contamination index (CI) value from water samples. Recently, the U.S. Geological Survey published a section (~2.59 km2) level risk assessment of brine contamination to aquatic resources for Sheridan County, Montana, using oilfield and hydrogeological parameters. Our goal was to improve the Sheridan County assessment (SCA) and evaluate the use of this new Williston Basin assessment (WBA) across 31 counties mantled by glacial drift in...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bakken Formatioin, Bakken Formation, Benson, North Dakota, Blaine, Montana, Bottineau, North Dakota, All tags...
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(Hyperlink to Official Landing Page for Geospatial Fabric products) (Hyperlink to Official Landing Page for Geospatial Fabric products) (Hyperlink to Official Landing Page for Geospatial Fabric products) (Hyperlink to Official Landing Page for Geospatial Fabric products) This dataset contains a set of attributes describing the "nhru" GIS features (Hydrologic Response Units)in the Geospatial Fabric Features dataset(http://dx.doi.org/doi:10.5066/F7542KMD) that have been developed in support of the USGS PRMS watershed model. These tables are organized according to Geospatial Fabric Region; see the thumbnail of the Geospatial Fabric Features Regions (https://www.sciencebase.gov/catalog/item/535edb4ae4b08e65d60fc837)....
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This U.S. Geological Survey (USGS) Data Release provides derivative county-level statistics of water used by Kansas irrigators in 2014. The published county-level application rate statistics from the previous 4 years (2010–13) are shown with the 2014 statistics and are used to calculate a 5-year average. The 2014 annual total precipitation and the current 30-year climatic normal (based on 1981–2010) are also shown by county. Other data published in this data release include the amount of water used, irrigated acres, and application rates by crop type and the amount of water used and number of irrigated acres for each irrigation method. Total reported irrigation water use in 2014 was 3.3 million acre-feet of water...
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Expanding human enterprise across remote environments impacts many wildlife species, including sage-grouse (Centrocercus urophasianus), an indicator species whose decline is at the center of national conservation strategies and land use policies. Anthropogenic resources provide subsidies for generalist predators, potentially leading to cascading effects on sensitive prey species at lower trophic levels. In semi-arid western ecosystems, common ravens (Corvus corax) are expanding in distribution and abundance, and may be negatively affecting sage-grouse reproductive success at broad spatial scales. Ravens are a common predator of sage-grouse nests, and potentially prey on chicks as well. This research aimed to address...
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This 25-m-resolution surface presents bathymetric change of Central San Francisco Bay, California (hereafter referred to as Central Bay). This surface compares a 1-m-resolution digital elevation model (DEM) of the central portion of San Francisco Bay (Fregoso and others, 2021), comprised of bathymetry data in the Central Bay region from the time period referred to as the 2010s because the majority of the surveys were in that decade, to a 25-m-resolution DEM of Central Bay comprised of historic surveys from 1971 to 1984 (referred to as the 1980s because the majority of the surveys were in that decade). The creation of this change surface involved the resampling of the 1-m-resolution 2010s DEM to match the 25-m-resolution...
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A 1-m resolution, continuous surface, bathymetric digital elevation model (DEM) of the central portion of San Francisco Bay, was constructed from bathymetric surveys collected from 2005 to 2020. In 2014 and 2015 the California Ocean Protection Council (OPC) contracted the collection of bathymetric surveys of large portions of San Francisco Bay. A total of 93 surveys were collected using a combination of multibeam and interferometric side-scan sonar systems. Of those 93 surveys, 75 consist of swaths of data ranging from 18- to just over 100-meters wide. These swaths were separated by data gaps ranging from 10- to just over 300-meters wide. The no-data areas required interpolation to create a continuous surface. The...
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(Hyperlink to Official Landing Page for Geospatial Fabric products) This dataset contains a set of attributes describing the "nhru" GIS features (Hydrologic Response Units)in the Geospatial Fabric Features dataset(http://dx.doi.org/doi:10.5066/F7542KMD) that have been developed in support of the USGS PRMS watershed model. These tables are organized according to Geospatial Fabric Region; see the thumbnail of the Geospatial Fabric Features Regions (https://www.sciencebase.gov/catalog/item/535edb4ae4b08e65d60fc837). Each table contains a key field, "hru_id", that can be used to relate to the nhru feature class in the Geospatial Fabric Feature dataset for the corresponding Region. The methodologies used to derive the...
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(Hyperlink to Official Landing Page for Geospatial Fabric products) This dataset contains a set of attributes describing the "nhru" GIS features (Hydrologic Response Units)in the Geospatial Fabric Features dataset(http://dx.doi.org/doi:10.5066/F7542KMD) that have been developed in support of the USGS PRMS watershed model. These tables are organized according to Geospatial Fabric Region; see the thumbnail of the Geospatial Fabric Features Regions (https://www.sciencebase.gov/catalog/item/535edb4ae4b08e65d60fc837). Each table contains a key field, "hru_id", that can be used to relate to the nhru feature class in the Geospatial Fabric Feature dataset for the corresponding Region. The methodologies used to derive the...
This data release includes the data used to generate sewershed "bubble plots" that compared pollutant removal efficiency (PRE) in each sewershed in the two study watersheds Crystal Rock (traditional watershed) and Tributary (Trib.) 104 low impact development (LID watershed) to determine if LID BMP design offered an improved water quality benefit as compared on a sewershed basis. Input/calibrants data used in the model (Monte Carlo) are described in the manuscript as mentioned in the list below: -BMP Name and Type: references in the manuscript -BMP Connectivity: Proprietary (derived from Montgomery County GIS Data) -BMP Drainage Areas: Proprietary (derived from Montgomery County GIS Data) -BMP Efficiency Ranges:...
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Digital elevation models (DEMs) were created from aerial imagery collected February 08 and 09, 2020, along the North Carolina coast between the Virginia-North Carolina border vicinity and Cape Lookout, North Carolina. These DEMs were created to document recovery ground conditions after Hurricane Dorian, which made landfall on the North Carolina coast on September 6, 2019. The DEMs help researchers document inter-annual changes in shoreline position and coastal morphology in response to storm events using aerial imagery collections and a structure from motion (SFM) workflow. These data can be used with geographic information systems or other software to identify topographic and shallow-water bathymetric features.
Tags: Atlantic Ocean, Bathymetry and Elevation, Beaufort Inlet, CMHRP, Cape Hatteras, All tags...


map background search result map search result map Geospatial Fabric Attribute Tables for PRMS (Preliminary) geographic/geometric (preliminary) Geospatial Fabric Attribute Tables for PRMS Topographic Parameters based on NHDPlus DEMs (Preliminary) Geospatial Fabric Attribute Tables for PRMS Subsurface Flux Parameters based on Gleeson (Preliminary) Williston Basin Assessment Web Map (2014) Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates in Kansas counties (spatial and tabular data). Data from: Broad-scale occurrence of a subsidized avian predator: reducing impacts of ravens on sage-grouse and other sensitive prey Seasonal and inter-annual distribution and abundance of floating kelp canopies surrounding San Nicolas Island, Calif. 1981-1992 Digital elevation model (DEM) of central San Francisco Bay, California, created using bathymetry data collected between 2009 and 2020 (NAVD88) Digital elevation models (DEMs) of coastal North Carolina, from 2019-08-30 to 2019-09-02, Pre-Hurricane Dorian RGB-averaged orthoimagery of coastal North Carolina, from 2019-08-30 to 2019-09-02, Pre-Hurricane Dorian Digital elevation models (DEMs) of coastal North Carolina, from 2020-02-08 to 2020-02-09 RGB-averaged orthoimagery of coastal North Carolina, from 2020-02-08 to 2020-02-09 Digital elevation models (DEMs) of coastal North Carolina, from 2020-05-08 to 2020-05-09 Bathymetric change of Suisun Bay, California: 1988 to 2016 Bathymetric change of San Pablo Bay, California: 1983 to 2015 Bathymetric change of Central San Francisco Bay, California: 1971 to 2020 Bathymetric change of San Pablo Bay, California: 1983 to 2015 Digital elevation model (DEM) of central San Francisco Bay, California, created using bathymetry data collected between 2009 and 2020 (NAVD88) Bathymetric change of Central San Francisco Bay, California: 1971 to 2020 Digital elevation models (DEMs) of coastal North Carolina, from 2020-02-08 to 2020-02-09 Digital elevation models (DEMs) of coastal North Carolina, from 2019-08-30 to 2019-09-02, Pre-Hurricane Dorian RGB-averaged orthoimagery of coastal North Carolina, from 2019-08-30 to 2019-09-02, Pre-Hurricane Dorian RGB-averaged orthoimagery of coastal North Carolina, from 2020-02-08 to 2020-02-09 Digital elevation models (DEMs) of coastal North Carolina, from 2020-05-08 to 2020-05-09 Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates in Kansas counties (spatial and tabular data). Williston Basin Assessment Web Map (2014) Data from: Broad-scale occurrence of a subsidized avian predator: reducing impacts of ravens on sage-grouse and other sensitive prey Geospatial Fabric Attribute Tables for PRMS (Preliminary) geographic/geometric (preliminary) Geospatial Fabric Attribute Tables for PRMS Topographic Parameters based on NHDPlus DEMs (Preliminary) Geospatial Fabric Attribute Tables for PRMS Subsurface Flux Parameters based on Gleeson (Preliminary)