Mapping Extent, Submerged Marine Habitat Mapping, Assateague Island National Seashore
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Mapping extent of acoustic surveys completed along the 58‐km long Assateague barrier island stretching from the Ocean City inlet in Maryland, down past Chincoteague Island in northern Virginia. The data was collected June 20th-25th, 2014 and May 12th - 21th, 2015. Full coverage side-scan sonar and partial coverage bathymetry data were collected using an EdgeTech 6205 Multiphase Echosounder. In total, 73 square kilometers were mapped at primarily at 100m line spacing and 80 m swath range per channel (to allow overlap between lines).
NCCOS Mapping: Merged Bathymetry Data in the Channel Islands National Marine Sanctuary for Benthic Habitat Mapping from 1998 to 2022 (NCEI Accession 0304093)
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We created merged bathymetry surfaces segmented in GeoTiff format by resolution and depth within the Channel Islands National Marine Sanctuary (CINMS) from more than 20 multibeam mapping surveys. These bathymetry data were collected between 1998 and 2022 by National Oceanic and Atmospheric Administration (NOAA), United States Geological Survey (USGS), Monterey Bay Aquarium Research Institute (MBARI) California State University, Monterey Bay (CSUMB) and Ocean Exploration Trust (OET). Bathymetry data collected by institutions outside of NOAA are reference to overlapping NOAA hydrographic surveys using an average depth difference correction. The merged bathymetric surface resolutions varied by depth from 2x2m in <40m, 4x4m in 36 to 80 m, 8x8m in 72 to 160m, 16x16m in 144 to 320m and to 24x24m in >300m. They can be used to create high-resolution, nearly continuous coverage benthic habitat maps within the CINMS.
Ground-truth Sampling Locations and Data, Submerged Marine Habitat Mapping, Fire Island National Seashore
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This dataset contains ground-truth sampling locations and data collected in support of Submerged Marine Habitat Mapping at Fire Island National Seashore. This ESRI file geodatabase contains six feature classes: benthic macrofaunal data, field notes, CMECS classification based on sediment, raw sediment data, SPI analysis, and CMECS classification based on SPI data.