Least Squares Filtering to Assess Shoreline Change Signatures

Abstract

This paper discusses an approach to spatial shoreline change rate filtering to effectively improve interpretation of natural shoreline changes and to assist in delineating between human-induced shoreline change and natural fluctuation of the shoreline. A least squares spatial filter method is applied along a section of shoreline in Brevard County, Florida, U.S.A., to assist in assessing effects of a man-made navigation project upon adjacent downdrift shoreline. Results of application of the technique are discussed. Methods utilized by others for temporal and spatial smoothing of shoreline change are also noted.