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Abstract
Quantitative Seafloor Habitat Classification Using GIS Terrain Analysis: Effects of Data Density, Resolution, and Scale
Track: Ocean, Coastal, and Marine Resources
Author(s): Pat Iampietro, Rikk Kvitek
There is a great need for accurate, comprehensive maps of seafloor habitat for use in fish stock assessment, marine protected area design, and other resource management pursuits. Recent advances in acoustic remote sensing technology have made it possible to obtain high-resolution (meter to sub-meter) digital elevation models (DEMs) of seafloor bathymetry that can rival or surpass those available for the terrestrial environment. This study attempts to use an algorithmic terrain analysis approach to efficiently, non-subjectively classify seafloor habitats according to quantifiable parameters such as slope, rugosity, and topographic position index (TPI). In addition, we explore the effects of original x,y,z and gridded data density on the results of these analyses, in order to provide insight into how inherent depth-dependent decreases in data density may affect this approach, and to assess the appropriateness of using historical, lower density bathymetric data. Finally, issues of scale with regard to rugosity and TPI are explored and their potential biological relevance discussed.
Pat Iampietro
CSU, Monterey Bay
Seafloor Mapping Lab
100 Campus Center
Seaside , CA 93955-8001
USA
Phone: 831-582-4214
Fax: 831-582-3073
E-mail: pat_iampietro@csumb.edu
Rikk Kvitek
CSU, Monterey Bay
Seafloor Mapping Lab
100 Campus Center
Seaside 93955-8001
USA
Phone: 831-582-3529
Fax: 831-582-3073
E-mail: rikk_kvitek@csumb.edu