Record Details
Field | Value |
---|---|
Title | Mapping surficial geologic habitats of the Oregon continental margin using integrated interpretive GIS techniques |
Names |
Romsos, Christopher G.
(creator) Goldfinger, Chris (advisor) |
Date Issued | 2004-01-29 (iso8601) |
Note | Graduation date: 2004 |
Abstract | We map the regional physiography and surficial lithology (Surficial Geologic Habitat or SGH) over the continental margin of Oregon. This thesis develops, describes, and implements an iterative interpretive method to map seafloor habitat types from disparate geological and geophysical datasets including: bathymetric images, sidescan sonar images, seismic reflection profiles, sediment samples, geologic maps of structure, and observations from submersibles. An indirect technique for the assessment of map accuracy or habitat type misidentification error is also explored and used to derive supplemental maps of varying interpretative confidence, or "quality". The geological and geophysical datasets used to produce the SGH maps of the Oregon margin are by their nature patchy, and form an irregular mosaic of variable data density and quality. Uniform sampling of continental margins does not yet exist, thus these maps are an attempt to glean as much information as possible from the framework of existing data. In any given area the quantity and quality of data available varied considerably, and required a flexible method of interpretation based on this availability. The integrated interpretative GIS techniques are developed to facilitate mapping geologic habitat types over this region of discontinuous and patchy seafloor data. The SGH map and thematic map accuracy assessment support improved habitat-based inventory and assessment methods. They also serve as habitat reference materials for marine resources management and planning activities at local to national scales. SGH and data quality maps are incorporated as thematic layers within a broader habitat geodatabase for west coast groundfish and are directly applied for modeling Essential Fish Habitat (EFH) for these species. |
Genre | Thesis/Dissertation |
Topic | Continental margins -- Oregon -- Remote-sensing maps |
Identifier | http://hdl.handle.net/1957/33297 |