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Belfast Seafloor

By Woods Hole Coastal and Marine Science Center December 2022 (approx.)
Map with yellow, red, and green patches with blue and purple dots
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Detailed Description

Bathymetry of the Belfast Bay, ME pockmark field.  

Andrews, B.D., Danforth, W. W., Brothers, L.L., and Barnhardt, W. A., 2020, High-resolution geophysical data collected in the Belfast Bay, Maine pockmark field in 2006, 2008, and 2009 by the U.S. Geological Survey: U.S. Geological Survey data release, https://doi.org/10.5066/P90QQCOR. 

Sources/Usage

Public Domain.

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Deep learning for pockmark detection: Implications for quantitative seafloor characterization

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Related

Deep learning for pockmark detection: Implications for quantitative seafloor characterization

Occurring globally, pockmarks are seafloor depressions associated with seabed fluid escape. Pockmark ubiquity and morphologic heterogeneity result in an irregular seafloor that can be difficult to quantitatively describe. To address this challenge, we test the hypothesis that deep-learning based object detection and segmentation can be used to develop data-driven models for pockmark identification
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Mark Lundine, Laura L. Brothers, Arthur Trembanis
By
Woods Hole Coastal and Marine Science Center
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