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The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center. This 2018 update includes two new mean high water (MHW) shorelines for the Massachusetts...
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The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center. This 2018 update includes two new mean high water (MHW) shorelines for the Massachusetts...
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This dataset consists of short-term (~32 years) shoreline change rates for the north coast of Alaska between the U.S. Canadian Border and the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1978 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.
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This dataset consists of short-term (~31 years) shoreline change rates for the north coast of Alaska between the Point Barrow and Icy Cape. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1979 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.
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Digital elevation models (DEMs) of the lower Elwha River, Washington, were created by synthesizing lidar and PlaneCam Structure-from-Motion (SfM) data. Lidar and still digital photographs were collected by airplane during surveys from 2012 to 2016. The digital photographs were used to create a SfM digital surface model. Each DEM represents the ending conditions for that water year (for example, the 2013 DEM represents conditions at approximately September 30, 2013). The final DEMs, presented here, were created from the most recent lidar before September 30 of a given year, supplemented with an error-corrected SfM model from a low-flow summer Elwha PlaneCam flight as close to 30 September as possible. This synthetic...
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This data set includes geospatial data and tables providing location, environmental, and vegetation data collected in 2017 and 2018 at the Little Saint Francis River chat pile restoration site, Fredericktown, Madison County, Missouri. Restoration actions are being implemeneted as part of the settlement for the Madison County Mines Superfund site to compensate the public for losses of natural resources and the services they provide as part of the Natural Resource Damage Assessment and Restoration Southeast Missouri Lead Mining District case. Data were collected prior to and during the early stages of restoration actions to restore bottomland forest habitat, reduce invasive plant species abundance, and improve upland...
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The U.S. Geological Survey (USGS), working in cooperation with the U.S. Fish and Wildlife Service, installed a groundwater and vegetation monitoring network in a proposed wetland area east of the Rio Grande near Bernardo, New Mexico on the NM Boys and Girls Ranch, at a site now known as the Blue Heron Wildlife Preserve (BHWP). In September of 2016, baseline vegetation data were collected across the BHWP to assess vegetation changes with time in the proposed wetland area as it is established and maintained. A second round of vegetation surveys were conducted in August of 2018 for comparative purposes. The collection of this data will support conservation and management decisions.
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This item contains a collection of ground photographs taken at the observation stations listed in the above title, showing tectonic faulting and/or ground deformation features produced by the Mw 6.0 South Napa earthquake of August 24, 2014. It is a subset of the a larger collection of photographs found at Photographs of Fault Rupture and Ground Deformation Features Produced by the Mw 6.0 South Napa Earthquake. These photographs may be viewed or downloaded here, but are best viewed in context with fault rupture and other observations from the related KMZ file of summary field observations and photographs obtained during post-earthquake investigations of the Mw 6.0 South Napa Earthquake of August 24, 2014, or from...
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The salt marsh complex of the Edwin B. Forsythe National Wildlife Refuge (EBFNWR), which spans over Great Bay, Little Egg Harbor, and Barnegat Bay (New Jersey, USA), was delineated to smaller, conceptual marsh units by geoprocessing of surface elevation data. Flow accumulation based on the relative elevation of each location is used to determine the ridge lines that separate each marsh unit while the surface slope is used to automatically assign each unit a drainage point, where water is expected to drain through. Through scientific efforts associated with the Hurricane Sandy Science Plan, the U.S. Geological Survey has started to expand national assessment of coastal change hazards and forecast products to coastal...
Collection of orthorectified images from aerial photograph of wetlands at the U.S. Geological Survey's Cottonwood Lake Study Area, Stutsman County, North Dakota. This collection of images was acquired during July and early August from 1975 to 2015. Aerial photographs of wetlands in the Cottonwood Lake Study Area were collected in order to facilitate a better understanding of the influence of natural climate variability on the vegetation of prairie wetland ecosystems.
Collection of orthorectified images from aerial photograph of wetlands at the U.S. Geological Survey's Cottonwood Lake Study Area, Stutsman County, North Dakota. This collection of images was acquired during July and early August from 1975 to 2015. Aerial photographs of wetlands in the Cottonwood Lake Study Area were collected in order to facilitate a better understanding of the influence of natural climate variability on the vegetation of prairie wetland ecosystems.
Collection of orthorectified images from aerial photograph of wetlands at the U.S. Geological Survey's Cottonwood Lake Study Area, Stutsman County, North Dakota. This collection of images was acquired during July and early August from 1975 to 2015. Aerial photographs of wetlands in the Cottonwood Lake Study Area were collected in order to facilitate a better understanding of the influence of natural climate variability on the vegetation of prairie wetland ecosystems.
Collection of orthorectified images from aerial photograph of wetlands at the U.S. Geological Survey's Cottonwood Lake Study Area, Stutsman County, North Dakota. This collection of images was acquired during July and early August from 1975 to 2015. Aerial photographs of wetlands in the Cottonwood Lake Study Area were collected in order to facilitate a better understanding of the influence of natural climate variability on the vegetation of prairie wetland ecosystems.
Collection of orthorectified images from aerial photograph of wetlands at the U.S. Geological Survey's Cottonwood Lake Study Area, Stutsman County, North Dakota. This collection of images was acquired during July and early August from 1975 to 2015. Aerial photographs of wetlands in the Cottonwood Lake Study Area were collected in order to facilitate a better understanding of the influence of natural climate variability on the vegetation of prairie wetland ecosystems.
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This data release provides 15-minute data of suspended-sediment concentration and fine (less than 0.0625 mm) suspended-sediment concentration during the removal of 2 large dams on the Elwha River from September 2011 to September 2016. Data are derived from regression relations with turbidity at the USGS gaging station Elwha River at the Diversion (no.12046260).
Final model for bat feeding plus all model component layers. For more detailed information, please visit this project's ScienceBase landing page at https://doi.org/10.5066/P927I36K, or the final report for this project at https://www.coloradomesa.edu/water-center/documents/rasmussen_shaftroth_2016_watercenter_cmu.pdf.
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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...
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The US Geological Survey Chesapeake Bay Watershed Land Cover Data Series, 2011 edition, (CBLCD-e11) consists of Level I Land Cover data for the years 1984, 1992, 2001, 2006 and 2011. It consists of a series of five 8-bit unsigned integer raster data files of 30 meter spatial resolution in Albers Conic Equal Area projection, NAD83 datum. The 1984 – 2006 data layers were created by aggregating most Level II Anderson classes of the USGS CBLCD Land Cover Data Series released in 2010 (Irani and Claggett, 2010).
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These datasets contain aquatic macroinvertebrate and water quality data collected from 159 wetlands in Montana and North Dakota within the Prairie Pothole Region of the Williston Basin.
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This dataset includes swell-filtered, high-resolution seismic-reflection data jointly collected by the U.S. Geological Survey (USGS) and Oregon State University in 2010, between Shelter Cove and Fort Bragg in northern California.


map background search result map search result map Chesapeake Bay Watershed 2011 Edition Land Cover Data Release Corrected SEG-Y Lousiana Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Sheltered East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed East Chukchi Sea coast of Alaska between the Point Barrow and Icy Cape Digital elevation models (DEMs) of the lower Elwha River, Washington, water year 2013 to 2016 Suspended sediment concentration data in the Elwha River, Washington, September 2011 to September 2016 Vegetation Community Data within a Proposed Wetland Area on the NM Boys and Girls Ranch near Bernardo, New Mexico Macroinvertebrate and water quality data from the Prairie Pothole Region of the Williston Basin (2014-2016) Coastal wetlands of E.B. Forsythe National Wildlife Refuge, New Jersey OuterCape_ProfileMethod_2011 SouthShore_ProfileMethod_2011 Pre-restoration vegetation data, Little Saint Francis River chat pile site, Missouri, USA, 2017 and 2018 Vegetation Community Data within a Proposed Wetland Area on the NM Boys and Girls Ranch near Bernardo, New Mexico Pre-restoration vegetation data, Little Saint Francis River chat pile site, Missouri, USA, 2017 and 2018 Suspended sediment concentration data in the Elwha River, Washington, September 2011 to September 2016 Digital elevation models (DEMs) of the lower Elwha River, Washington, water year 2013 to 2016 Corrected SEG-Y Coastal wetlands of E.B. Forsythe National Wildlife Refuge, New Jersey SouthShore_ProfileMethod_2011 Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed East Chukchi Sea coast of Alaska between the Point Barrow and Icy Cape OuterCape_ProfileMethod_2011 Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Sheltered East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River Lousiana Macroinvertebrate and water quality data from the Prairie Pothole Region of the Williston Basin (2014-2016) Chesapeake Bay Watershed 2011 Edition Land Cover Data Release