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The research was conducted at eight tidal marshes in coastal estuaries spanning the Washington and Oregon coastlines from Padilla Bay in northern Washington to Bandon located at the mouth of the Coquille River in southern Oregon. The researchers performed bathymetric surveys, created digital elevation models, measured historic rates of mineral and organic matter accumulation, conducted vegetation surveys, deployed water level data loggers, and produced WARMER wetland accretion model projections for each study site. This collection contains data for all of the above across a number of different datasets. Users should investigate the metadata for each item for more information about it's purpose, methods, quality,...
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The research was conducted at nine tidal marshes in coastal estuaries spanning the Washington and Oregon coastlines from Padilla Bay in northern Washington to Bandon located at the mouth of the Coquille River in southern Oregon. We performed bathymetric surveys using a shallow-water echo-sounding system comprised of an acoustic profiler, Leica Viva RTK GPS, and laptop computer mounted on a shallow-draft, portable flat-bottom boat. The RTK GPS enabled high resolution elevations of the water surface. The rover positions were received from the Leica Smartnet system (www.lecia-geosystems.com) or base station and referenced to the same bench mark used in the elevation surveys. We mounted a variable frequency transducer...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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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 (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, Bull Island, CERC, CERC map, CMGP, All tags...
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To assess the current topography of tidal marsh at the study sites we conducted survey-grade global positioning system (GPS) surveys between 2009 and 2014 using a Leica RX1200 Real Time Kinematic (RTK) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK GPS network coverage (Padilla, Port Susan, Nisqually, Siletz, Bull Island, and Bandon), rover positions were received in real time from the Leica Smartnet system via a CDMA modem (www.lecia-geosystems.com). At sites without network coverage (Skokomish, Grays Harbor, and Willapa), rover positions were received in real time from a Leica GS10 antenna base station via radio link. At sites where we used the...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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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 (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal...
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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 (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal...
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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 (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal...
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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 (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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To assess the current topography of tidal marsh at the study sites we conducted survey-grade global positioning system (GPS) surveys between 2009 and 2014 using a Leica RX1200 Real Time Kinematic (RTK) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK GPS network coverage (Padilla, Port Susan, Nisqually, Siletz, Bull Island, and Bandon), rover positions were received in real time from the Leica Smartnet system via a CDMA modem (www.lecia-geosystems.com). At sites without network coverage (Skokomish, Grays Harbor, and Willapa), rover positions were received in real time from a Leica GS10 antenna base station via radio link. At sites where we used the...


map background search result map search result map FSA 10:1 NAIP Imagery m_4711416_ne_11_1_20150912_20160104 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4711416_nw_11_1_20150912_20160104 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4711416_se_11_1_20150912_20160104 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3207904_nw_17_1_20150611_20150730 3.75 x 3.75 minute JPEG2000 from The National Map Offshore baseline for the South Carolina (SC) coastal region generated to calculate shoreline change rates Shorelines of the South Carolina (SC) coastal region used in shoreline change analysis Digital Shoreline Analysis System version 4.3 Transects with Long-Term Linear Regression Rate Calculations for South Carolina (SC) Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for South Carolina (SC) Digital Shoreline Analysis System version 4.3 Transects with Short-Term Linear Regression Rate Calculations for South Carolina (SC) USGS 1:24000-scale Quadrangle for Bull Island, MT 1964 USGS 1:24000-scale Quadrangle for Bull Island, MT 1964 USGS 1:24000-scale Quadrangle for Bull Island, MT 1964 USGS 1:24000-scale Quadrangle for Bull Island, SC 1959 USGS 1:24000-scale Quadrangle for Bull Island, SC 1959 USGS 1:24000-scale Quadrangle for Bull Island, SC 1959 Elevation Points for Eight Study Areas in Coastal Oregon and Washington, 2012 Bathymetry Digital Elevation Models for Eight Study Areas in Coastal Oregon and Washington, 2012 Field and model data for studying the effects of sea-level rise on eight tidal marshes in coastal Washington and Oregon Digital Elevation Models for eight study areas in coastal Oregon and Washington, 2012 USGS 1:24000-scale Quadrangle for Bull Island, MT 1964 FSA 10:1 NAIP Imagery m_4711416_ne_11_1_20150912_20160104 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4711416_nw_11_1_20150912_20160104 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4711416_se_11_1_20150912_20160104 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3207904_nw_17_1_20150611_20150730 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Bull Island, MT 1964 USGS 1:24000-scale Quadrangle for Bull Island, MT 1964 USGS 1:24000-scale Quadrangle for Bull Island, MT 1964 USGS 1:24000-scale Quadrangle for Bull Island, SC 1959 USGS 1:24000-scale Quadrangle for Bull Island, SC 1959 USGS 1:24000-scale Quadrangle for Bull Island, SC 1959 USGS 1:24000-scale Quadrangle for Bull Island, MT 1964 Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for South Carolina (SC) Digital Shoreline Analysis System version 4.3 Transects with Short-Term Linear Regression Rate Calculations for South Carolina (SC) Shorelines of the South Carolina (SC) coastal region used in shoreline change analysis Offshore baseline for the South Carolina (SC) coastal region generated to calculate shoreline change rates Digital Shoreline Analysis System version 4.3 Transects with Long-Term Linear Regression Rate Calculations for South Carolina (SC) Elevation Points for Eight Study Areas in Coastal Oregon and Washington, 2012 Digital Elevation Models for eight study areas in coastal Oregon and Washington, 2012 Field and model data for studying the effects of sea-level rise on eight tidal marshes in coastal Washington and Oregon Bathymetry Digital Elevation Models for Eight Study Areas in Coastal Oregon and Washington, 2012