This bathymetric contour data set was derived from a gridded data set obtained from URI (B.Tyce, G. Hatcher). They used the "Gridder" program to obtain the grid. This gridded data set was generated from the original NOS soundings from 9 track tape that was cleaned up and edited at URI. This work was done with the intention of producing the color poster called "Long Island Sound Estuary" (Connecticut Dept. of Environmental Protection"), 1993. The accuracy is questionable.

This bathymetric contour data set was derived from a gridded data set obtained from URI (B.Tyce, G. Hatcher). They used the "Gridder" program to obtain the grid. This gridded data set was generated from the original NOS soundings from 9 track tape that was cleaned up and edited at URI. This work was done with the intention of producing the color poster called "Long Island Sound Estuary" (Connecticut Dept. of Environmental Protection"), 1993. The accuracy is questionable.

Bathymetry for Long Island Sound was derived from fifty-five surveys containing 562,596 soundings. Twenty-four older, less accurate, overlapping surveys were entirely omitted, and the overlap from eight older, less accurate surveys was omitted before tinning the data. The average separation between soundings was 77 meters. The fifty-five surveys used dated from 1931 to 1990. Approximately 40 percent of the surveys were from 1931 to 1939. The total range of sounding data was 2.1 meters to - 113.4 meters at mean low water. Mean high water values between 0.6 and 2.3 meters were assigned to the shoreline. Eighty-eight points were found that were not consistent with the surrounding data. These were removed prior to tinning. DEM grid values outside the shoreline (on land) were assigned null values (-32676). Long Island Sound has fifty-one 7.5 minute DEMs and five one degree DEMs. The 1 degree DEMs were generated from the higher resolution 7.5 minute DEMs which covered the estuary. A Digital Elevation Model (DEM) contains a series of elevations ordered from south to north with the order of the columns from west to east. The DEM is formatted as one ASCII header record (A- record), followed by a series of profile records (B- records) each of which include a short B-record header followed by a series of ASCII integer elevations (typically in units of 1 centimeter) per each profile. The last physical record of the DEM is an accuracy record (C-record). The 7.5-minute DEM (30- by 30-m data spacing) is cast on the Universal Transverse Mercator (UTM) projection. It provides coverage in 7.5- by 7.5-minute blocks. Each product provides the same coverage as a standard USGS 7.5-minute quadrangle but the DEM contains over edge data. Coverage is available for many estuaries of the contiguous United States but is not complete.

The Long Island Sound Study (LISS) compiled data from a number of different sources, integrated new data, and assembled a comprehensive spatial database for areas of the States of Connecticut, New York, and portions of Rhode Island which border Long Island Sound.

The Long Island Sound Study (LISS) compiled data from a number of different sources, integrated new data, and assembled a comprehensive spatial database for areas of the States of Connecticut, New York, and portions of Rhode Island which border Long Island Sound.

This dataset contains multibeam bathymetry, uncertainty, and backscatter GeoTIFFs with 1x1 meter cell size represent water depth and acoustic intensity of the seafloor from the Phase III Long Island Sound Benthic Habitat Priority Areas of Interest in the Long Island Sound. These datasets were surveyed by NOAA Ship Nancy Foster R-352 in 2015 using 400 khz Reson 7125 multibeam sonars in coordination with the NOAA Biogeography Branch and the Integrated Ocean and Coastal Mapping Branch. The multibeam was corrected, calibrated, and integrated into a seamless 32-bit raster using CARIS and ArcGIS. Backscatter data was collected and mosaicked into a raster using Fledermaus Geocoder Toolbox, ArcGIS 10.4, and PCI Geomatica 2016 software at the Biogeography Branch by NOAA contractors.

Digital terrain models (DTMs) produced from multibeam bathymetric data provide valuable base maps for marine geological interpretations. These maps help define the geological variability of the seafloor (one of the primary controls of benthic habitat diversity); improve our understanding of the processes that control the distribution and transport of bottom sediments, and the distribution of benthic habitats and associated infaunal community structures; and provide a detailed framework for future research, monitoring, and management activities. The bathymetric survey interpreted herein (National Oceanic and Atmospheric Administration (NOAA) survey H11255) covers roughly 95 km2 of seafloor in southeastern Long Island Sound. This bathymetry has been examined in relation to seismic reflection data collected concurrently, as well as archived seismic profiles acquired as part of a long-standing geologic mapping partnership between the State of Connecticut and the U.S. Geological Survey (USGS). The objective of this work was to use these acoustic data sets to interpret geomorphological attributes of the seafloor, and to use these interpretations to better understand the Quaternary geologic history and modern sedimentary processes.

Digital terrain models (DTMs) produced from multibeam bathymetric data provide valuable base maps for marine geological interpretations. These maps help define the geological variability of the seafloor (one of the primary controls of benthic habitat diversity); improve our understanding of the processes that control the distribution and transport of bottom sediments, and the distribution of benthic habitats and associated infaunal community structures; and provide a detailed framework for future research, monitoring, and management activities. The bathymetric survey interpreted herein (National Oceanic and Atmospheric Administration (NOAA) survey H11255) covers roughly 95 km2 of seafloor in southeastern Long Island Sound. This bathymetry has been examined in relation to seismic reflection data collected concurrently, as well as archived seismic profiles acquired as part of a long-standing geologic mapping partnership between the State of Connecticut and the U.S. Geological Survey (USGS). The objective of this work was to use these acoustic data sets to interpret geomorphological attributes of the seafloor, and to use these interpretations to better understand the Quaternary geologic history and modern sedimentary processes.

Digital terrain models (DTMs) produced from multibeam bathymetric data provide valuable base maps for marine geological interpretations. These maps help define the geological variability of the seafloor (one of the primary controls of benthic habitat diversity); improve our understanding of the processes that control the distribution and transport of bottom sediments, and the distribution of benthic habitats and associated infaunal community structures; and provide a detailed framework for future research, monitoring, and management activities. The bathymetric survey interpreted herein (National Oceanic and Atmospheric Administration (NOAA) survey H11255) covers roughly 95 km2 of seafloor in southeastern Long Island Sound. This bathymetry has been examined in relation to seismic reflection data collected concurrently, as well as archived seismic profiles acquired as part of a long-standing geologic mapping partnership between the State of Connecticut and the U.S. Geological Survey (USGS). The objective of this work was to use these acoustic data sets to interpret geomorphological attributes of the seafloor, and to use these interpretations to better understand the Quaternary geologic history and modern sedimentary processes.

This dataset contains an integrated GeoTIFF with 1x1 meter cell size representing the 2014 Long Island Sound Benthic Habitat Priority Area of Interest between Bridgeport, CT, and Port Jefferson, NY. This integrated bathymetric raster is a mosaic of surveys from NOAA Ship Thomas Jefferson (S-222) and its two inshore launch vessels, NOAA Ship Rude (S-590), as well as surveys conducted by the Stony Brook University R/V Pritchard in coordination with the NOAA Biogeography Branch and the Office of Coastal Services between in the year 2012. Bathymetry data was collected using multibeam sonars and integrated into a seamless 32 bit raster using ArcGIS 10.1 raster calculator by the Biogeography Branch by a NOAA contractor.