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Algorithmic Approaches for Marine Geomorphology Study

Explore algorithmic methods for marine geomorphology analysis to uncover habitat proxies. Includes data acquisition techniques, shape analysis, roughness measurements, and habitat modeling with ecological classification schemes. Rich in examples and research insights.

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Algorithmic Approaches for Marine Geomorphology Study

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  1. Thoughts on Algorthmic Approaches to Reveal Marine Geomorphology as a Proxy for Habitat Dawn Wright Dept. of Geosciences, Oregon State University Will Heyman Department of Geography, Texas A&M University Presentation IT13B-01 2010 Ocean Sciences Meeting Portland, OR

  2. Primary Data Acquisition: Visual NOAA CRED Hawaii Undersea Research Lab

  3. Primary Data Acquisition: “Shallow” Ikonos satellite (Image from SatMagazine) R/V Acoustic Habitat Investigator w/ RESON 8101, NOAA Portable, pole-mounted EM3000 Multibeam sonar, 200 m and shallower Ikonos, shoreline to 15 m

  4. Primary Data Acquisition: “Deep” Image from Lost City Expedition (2003) Multibeam sonar, regional scale, 200 m and deeper

  5. Algorithmic Approaches

  6. Algorithmic Approaches

  7. Shape: Bathymetric Position Index Broad scale Fine scale (from TPI, Jones et al., 2000; Weiss, 2001; Iampietro & Kvitek, 2002)

  8. Zone and Structure Flow Chart Emily Lundblad, OSU Thesis

  9. Structure Classification Decision Tree Emily Lundblad, OrSt M.S. Thesis

  10. http://dusk.geo.orst.edu/djl/samoa Benthic Terrain Modeler

  11. Ecosystem-Based Mgmt Tools Network www.ebmtools.org

  12. Roughness: Rugosity Measure of how rough or bumpy a surface is, how convoluted and complex Ratio of surface area to planar area Surface area based on elevations of 8 neighbors 3D view of grid on the left Center pts of 9 cells connected To make 8 triangles Portions of 8 triangles overlapping center cell used for surface area Graphics courtesy of Jeff Jenness, Jenness Enterprises, and Pat Iampietro, CSU-MB

  13. Benthic Complexity Ardron and Wallace, in Wright and Scholz, Place Matters: Geospatial Tools for Marine Science… 2005

  14. Benthic Complexity Ardron and Wallace, in Wright and Scholz, Place Matters: Geospatial Tools for Marine Science… 2005

  15. Ecological Habitat Modeling GLM, GAM, classification/regression trees, etc. Iampietro, Kvitek et al., Marine Geodesy, 2008

  16. Bayesian Approaches Simons and Snellen, Applied Acoustics, 2009

  17. Classification Schemes: CMECS Coastal and Marine Ecological Classification Standard Madden et al., NatureServe, NOAA

  18. EUNIS eunis.eea.europa.net EEA/European Environmental Information Observation Network

  19. EUSeaMap EUNIS classification is a common language for habitat. Propose modifications to EUNIS where appropriate (Baltic or Med) Natalie Coltman, JNCC, UK, www.jncc.gov.uk/EUSeaMap

  20. EUSeaMap Methodology O2/POC/Chl Ice cover Natalie Coltman, JNCC, UK, www.jncc.gov.uk/EUSeaMap

  21. Geoscience Australia Heap, Nichol et al., AAG, 2008

  22. geohab.org

  23. marinecoastalgis.net

  24. Concluding Thoughts

  25. Thank you…

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