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An increased focus on ecosystem restoration in the Columbia River Estuary has driven the development of a restoration prioritization framework for use by regional planning organizations. This framework uses multiple spatial scales to place sites in a landscape and geomorphic context, increasing the potential for successful restoration. A variety of geospatial datasets feed into an ecologically-based scoring matrix, which determines restoration options based on the relative quality of a suite of baseline ecosystem parameters. Examples of datasets used include historic conditions (e.g., floodplain, shoreline, habitats), current shoreline morphology and modification, aerial photography and other remotely-sensed data, and biological survey information.