NCCOS Develops New Processing Technique to Improve the Repeatability and Efficiency of Habitat Mapping
Scientists from the National Centers for Coastal Ocean Science recently developed a new semi-automated approach to mapping seafloor habitats. This technique uses edge-detection algorithms to delineate visually distinct features in acoustic imagery and classification and regression trees to partition these distinct objects into classes. This new semi-automated approach will increase the repeatability and efficiency with which maps are produced. The ability to quickly, accurately and objectively create benthic habitat maps will transform the process of mapping from a static, resource inventory tool to a dynamic, resource monitoring tool. A report, Moderate-Depth Benthic Habitats of St. John, U.S. Virgin Islands, describing this approach in more detail is available online at the project website – Benthic Habitat Mapping off St. John, U.S. Virgin Islands National Park and Virgin Islands Reef National Monument.
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Zitello, A.G., L.J. Bauer, T.A. Battista, P.W. Mueller, M.S. Kendall and M.E. Monaco. 2009. Shallow-Water Benthic Habitats of St. John, U.S. Virgin Islands. NOAA Technical Memorandum NOS NCCOS 96. Silver Spring, MD. 53 pp.
Costa, B.M., L.J. Bauer, T.A. Battista, P.W. Mueller and M.E. Monaco. 2009. Moderate-Depth Benthic Habitats of St. John, U.S. Virgin Islands. NOAA Technical Memorandum NOS NCCOS 105. Silver Spring, MD. 57 pp.