1. Schedule - Day 1, Mon 8:30-9:30 - Dawn - Intro
9:30-10:00 – Break - Technical Setup
10:00-12:00 – Emily/Dawn - Module 1: Exploring the Reefs
all modules include intro lecture, then hands-on work
12:00-1:00 – Lunch
1:30-2:30 – Dawn – Seafloor mapping techniques and GIS analysis
2:30-4:30 – Emily/Dawn – Module 2: Benthic Classifications

2. http://dusk. geo. orst. edu/djl/samoa http://dusk. geo. orst

3. GIS Terrain Analysis Dawn Wright Department of Geosciences
Oregon State University
Photo by
ASCC GIS Workshop, September, 2004

7. NOAA Biogeography “Benthic Habitat” from Ikonos
By OrSt grad student Emily Lundblad

8. Fagatele Bay National Marine Sanctuary, 2001 bathy

9. Terrain Analysis: Bathymetric Position Index (from TPI, Jones et al
Terrain Analysis: Bathymetric Position Index (from TPI, Jones et al., 2000, Weiss, 2001)
Measure of where a point is in the overall land- or “seascape”
Compares elevation of cell to mean elevation of neighborhood
Hilltop
Middle
Coarse BPI
Bottom
Many physical and biological processes acting on the landscape are highly correlated with topographic position: in some cases a species’ habitat may be partially or wholly defined by the fact it is a hilltop, valley bottom, exposed ridge, flat plain, upper or lower slope, and so on
Similarly, these larger-scale features may be important habitat characteristics for some species in the marine environment
Ridge Crest
Fine BPI
Lava Channel

10. BPI Zone and Structure Classification Flowchart
Emily Lundblad, OrSt M.S. Thesis

11. Emily Lundblad, OrSt M.S. Thesis

12. From Greene, Bizarro et al
From Greene, Bizarro et al., in press, 2004, The benefits and pitfalls of GIS in marine benthic habitat mapping, in Wright, D.J. and Scholz, D.J. (eds.), Place Matters: Geospatial Tools for Marine Science, Conservation, and Management in the Pacific Northwest, Corvallis, OR: Oregon State University Press.

13. Terrain Analysis: Rugosity
Measure of how rough or bumpy a surface is, how convoluted and complex
Ratio of surface area to planar area
For each cell in the grid, surface areas are based on triangle areas derived from eight triangles
Each triangle connects the center point of the central cell with the center points of two adjacent cells. These triangles are located in three-dimensional space, so that the area of the triangle represents the true surface area of the space bounded by the three points. 
The triangle area is adjusted so that it only represents the portion of the triangle that overlays the central cell.
The areas of the eight triangles are summed to produce the total surface area of that cell.
The surface ratio of the cell is calculated by dividing the surface area of the cell with the planimetric area of the cell.
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

14. reveals rugosity in association with complexity and depth.
dark blue areas have very high rugosity and yellow areas have low rugosity
NEED - common method for attributing visual data and derived grids
identifying the habitat types in segments, idea of where marine life is located. %algae, %coral
Emily Lundblad, OrSt M.S. Thesis

15. http://dusk. geo. orst. edu/djl/samoa http://dusk. geo. orst