A Benthic Terrain Classification Scheme for American Samoa

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Figure 6 Rugosity derived in ArcView® 3.3 and towed-diver video transects symbolized by habitat complexity observations. Transects overlaid on rugosity grid shows the relationship between the two data sets. Development of Classification Scheme for American Samoa Since post-processing of the 2001 and 2002 data was completed during the initial phase of this study, only these multibeam bathymetry data were used to classify the seafloor on the basis of bathymetric position index (BPI) and rugosity. The methods developed were based on the topographic position index algorithms of Guisan et al. (1999), Weiss (2001) and Iampietro and Kvitek (2002) and the rugosity algorithm of Jenness (2003) as applied in Iampietro and Kvitek (2002). Their application to American Samoa bathymetry is the first extension of existing shallow water benthic classification to depths beyond 30 m. (Figure 7). 22
Figure 7 The amount of overlap that exists between NOAA Biogeography habitat classifications that were made using Ikonos imagery and the coverage of multibeam bathymetry as of 2002. Spatial analysis was used to derive, from the original bathymetry, indices of slope and multiple scales of BPI (i.e., BPI zones and structures). The resulting derivative grids were combined with a new algorithm to develop final products: BPI zones, BPI structures and rugosity classification maps for the study sites. The maps introduce the first deepwater benthic classification scheme for American Samoa that may also be extended to other coral reef systems. The mapping steps for the classifications, including the classification scheme, are summarized in the flowchart in Figure 8. The process identifies four BPI zones and thirteen structure classes. 23
Page 1 and 2: A Benthic Terrain Classification Sc
Page 3 and 4: Introduction The high productivity
Page 5 and 6: classification may lead to more eff
Page 7 and 8: slopes; upper slopes, mesas; local
Page 9 and 10: or framework, used for a habitat st
Page 11 and 12: well as user and producer accuracy
Page 13 and 14: spear fishing, poison and dynamite
Page 15 and 16: Data Analysis and Processing Bathym
Page 17 and 18: BPI was calculated in the ArcGIS ra
Page 19 and 20: would represent patterns of depress
Page 21: Rugosity Analysis The rugosity anal
Page 25 and 26: The unique numbers assigned to clas
Page 27 and 28: Multiple schemes were reviewed to a
Page 29 and 30: Classification Scheme for Structure
Page 31 and 32: classifications advantageously use
Page 33 and 34: transitional areas (e.g. narrow cre
Page 35 and 36: Conclusion The study was a success
Page 37 and 38: Acknowledgements This research was
Page 39 and 40: Culliton, T. J. 1998. Population: D
Page 41 and 42: NOAA National Centers for Coastal O

A Benthic Terrain Classification Scheme for American Samoa

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