The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) and Connecticut Department of Environmental Protection (CT-DEP) to conduct detailed studies of the surficial geology in Long Island Sound (LIS). The study goals are to interpret sedimentary environments within the Sound, to further understand processes controlling sediment distribution, and to provide a framework for future studies. Sidescan-sonar mosaics produced by USGS and NOAA show detailed acoustic images of the sea floor with 1-m resolution. These images, along with data obtained from sediment samples, seismic-reflection profiles, and seafloor video, are used to interpret the surficial geology.
As part of this cooperative program, since 1995, 12 sidescan-sonar surveys of the LIS sea floor have been completed (Poppe and others, 1997; Twichell and others, 1997; Poppe and others, 1998a; Poppe and others, 1998b; Twichell and others, 1998; Poppe and others, 1999a; Poppe and others, 1999b; Poppe and others, 2001; Poppe and others, 2004; Zajac and others, 2003). The purpose of this report is to release digital versions of the imagery and interpretations from NOAA survey H11044 originally published in McMullen and others (2005). Survey H11044, which covers an area of 293 km2 in west-central LIS, includes the area of the previously published Milford Survey (Twichell and others, 1998) and the westernmost part of the New Haven Harbor Survey (Poppe and others, 2001). These two surveys detailed surficial geology and mapped sediment distributions. In this study, we map the sediment distribution across a broader, previously unstudied area and the sedimentary environments.
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","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051431","usgsCitation":"Gough, L.P., Day, W.C., Crock, J., Gamble, B.M., Henning, M.W., Ager, C.M., Meier, A.L., Briggs, P., Brown, Z.A., and Adams, M., 2005, Regional geochemical results from the analyses of rock, soil, and vegetation samples — Big Delta B-2 quadrangle, Alaska: U.S. Geological Survey Open-File Report 2005-1431, Report: iv, 12 p.; Tables, https://doi.org/10.3133/ofr20051431.","productDescription":"Report: iv, 12 p.; Tables","onlineOnly":"Y","costCenters":[],"links":[{"id":192995,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":408940,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_74505.htm","linkFileType":{"id":5,"text":"html"}},{"id":7286,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1431/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Big Delta B-2 quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -145,\n 64.5\n ],\n [\n -145,\n 64.25\n ],\n [\n -144.5,\n 64.25\n ],\n [\n -144.5,\n 64.5\n ],\n [\n -145,\n 64.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c5aa","contributors":{"authors":[{"text":"Gough, L. 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For descriptive purposes, however, it is typically most useful to classify these sediments according to their grain-size distributions. Starting in 1962, the U.S. Geological Survey (USGS) and the Woods Hole Oceanographic Institution (WHOI) began a joint program to study the marine geology of the continental margin off the Atlantic coast of the United States. As part of this program and numerous subsequent projects, thousands of sediment samples were collected and analyzed for grain size.
This report describes the field methods used to collect marine sediment sample, the laboratory methods used to determine and characterize grain-size distributions, and presents these data in several formats that can be readily employed by interested parties. By entering data into usSEABED, a large data compilation and mining program (Reid and others, 2005), this study also responds to an increasing demand for regional information on sea-floor sedimentary character with applications to aggregate resources suitable for beach nourishment and coastal restoration, benthic habitat mapping, and sediment transport studies. To this end, the report is divided into three sections: the first discusses field and laboratory procedures, the second contains the grain-size data, and the third provides a GIS data catalog that lists the available data layers and FGDC-compliant metadata.
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2005 - Variability in older forest structure in western Oregon","interactions":[],"lastModifiedDate":"2017-03-30T15:45:14","indexId":"ofr20051385","displayToPublicDate":"2005-12-08T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1385","title":"Variability in older forest structure in western Oregon","docAbstract":"The goal of this report is to assist Federal land managers in developing realistic structural targets for young forests for which the development of late-successional and old-growth (LSOG) characteristics is a long-term management objective (i.e., in Late-Successional Reserves established under the Northwest Forest Plan). A unique LSOG structural database was created using complete inventories, or censuses (i.e., 100% timber cruise records), of all conifer trees > 1 ft diameter from 586 recently harvested older forests on five Bureau of Land Management (BLM) districts in western Oregon. The average area of each of the 586 inventoried older forests, 28.1 ac, clearly reflected the spatial scales typical of forest management units on Federal lands covered by the Northwest Forest Plan. All told, the LSOG database contains conifer tree census data for over 16,400 ac of LSOG forests. Ecoregion-level variability in LSOG forest structure was compared and contrasted for sites contained in the LSOG database. 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