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Processing Data for Seafloor Mapping: Integration and Metrics
Today's state-of-the-art hydrographic survey instrumentation produces higher resolution and more densely sampled measurements than were available in the past. This supports improvements in the definition of seafloor features and characteristics, however, it also places more stringent requirements on the systems used to process seafloor survey data. In shallow water environments bathymetric sampling rates can exceed 4000 soundings per second and data from Digital Side-Scan Sonar Systems can exceed 1 Gb/hr. In support of the Second International Conference on High-Resolution Surveys in Shallow Water, and working in cooperation with Reson Inc., Goleta, Ca., and the University of New Hampshire's Center for Coastal and Ocean Mapping (CCOM), Science Applications International Corporation (SAIC), Newport, RI conducted a survey of the conference common data set test area in Portsmouth Harbor using a Reson 8125 dual-head sonar system. The acquired data were made available as part of the conference common dataset. An area-based approach to data cleaning, including the use of an automated filter for spike detection, is presented. Resource and effort metrics associated with the processing of samples from the common data set are provided. This includes corrector application, data cleaning, validation, and quality control. Results from the area-based approach are compared with results from a traditional line-oriented approach. Three bathymetric datasets from Portsmouth Harbor are compared and the results reported.
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The Marine Technology Society Journal is the flagship publication of the Marine Technology Society. It publishes the highest caliber, peer-reviewed papers on subjects of interest to the society: marine technology, ocean science, marine policy and education. The Journal is dedicated to publishing timely special issues on emerging ocean community concerns while also showcasing general interest and student-authored works.
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