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Seafloor analysis based on multibeam bathymetry and backscatter data = Meeresbodenanalyse auf der Basis von Bathymetrie und akustischer Rückstreuung by Andreas Beyer

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Published by Alfred-Wegener-Institut für Polar- und Meeresforschung in Bremerhaven .
Written in English

Subjects:

  • Submarine topography -- Methodology,
  • Submarine topography -- North Atlantic Ocean

Book details:

Edition Notes

Other titlesMeeresbodenanalyse auf der Basis von Bathymetrie und akustischer Rückstreuung
StatementAndreas Beyer.
SeriesBerichte zur Polar- und Meeresforschung -- 540
Classifications
LC ClassificationsGC83 .B49 2006
The Physical Object
Paginationviii, 100 p. :
Number of Pages100
ID Numbers
Open LibraryOL16332634M
LC Control Number2007403021

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bathymetry and backscatter data and application of those methods to the pro blem o f seafloor segmentation and classification is given in Chapter 1. The mater ial presented in this sect ion is. However, backscatter data from multibeam echosounder~ can have advantages over conventional side scan data thal arise from the careful way in which transmit/receive beam~ are traced to a precise location on the seafloor. First, with multibeam echosounders, bathymetry and backscatter data.   The sediment backscatter strength measured by multibeam echosounders is a key feature for seafloor mapping either qualitative (image mosaics) or quantitative (extraction of classifying features). An important phenomenon, often underestimated, is the dependence of the backscatter level on the azimuth angle imposed by the survey line directions: strong level differences at varying azimuth Cited by: Multibeam bathymetry and backscatter surveys provide a comprehensive view of the seafloor in a cost-effective and efficient way, and complement the traditional tools such as seismic, gravity and magnetics.

  An automated signal-based method was developed in order to analyse the seafloor backscatter data logged by calibrated multibeam echosounder. The processing consists first in the clustering of each survey sub-area into a small number of homogeneous sediment types, based on the backscatter average level at one or several incidence angles. Second, it uses their local average . Acoustic data processing Backscatter data can be divided into two formats which are; (1) signal based data or backscatter intensity as a function of incidence angle, and (2) image-based data (i.e. backscatter mosaic). As a result, different classification methods have . Gulf of Mexico Expedition How to Use Multibeam Sonar Data Grades (Physical Science/Earth Science) Key Words NOAA Ship Okeanos Explorer Multibeam sonar Bathymetric survey Background Information Explanations and procedures in this lesson are written at a level appropriate to professional educators. Multibeam echo sounders can be used as a remote sensing tool to investigate the seafloor. Angular backscatter data is used to gain information from the acoustic pulses in addition to the depth measurements and provide a tool to investigate the seafloor cover.

This data is called multibeam backscatter and comes from the received signals of the multibeam sonar in an unconventional way. Foremost, the multibeam sonar uses the time it takes for acoustic signals to travel from the ship to the seafloor and back to calculate the depth. Multibeam bathymetry, backscatter, and optical data collected by the NOAA Coral Reef Ecosystem Division (CRED) were used to create maps of seafloor habitats on the bank top at French Frigate Shoals (FFS) in water depths ranging from backscatter and optical data . An empirical technique has been developed that is used to predict seafloor facies from multibeam bathymetry and acoustic backscatter data collected in central Santa Monica Bay, California. A supervised classification used backscatter and sediment data to classify the area into zones of rock, gravelly-muddy sand, muddy sand, and mud. AbstractSeafloor mapping is a fast developing multidisciplinary branch of oceanology that combines geophysics, geostatistics, sedimentology and ecology. One of its objectives is to isolate distinct seabed features in a repeatable, fast and objective way, taking into consideration multibeam echosounder (MBES) bathymetry and backscatter data. A large-scale acoustic survey was conducted by the.