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TitleStatistical correction of lidar-derived digital elevation models with multispectral airborne imagery in tidal marshes
Publication TypeJournal Article
Year of Publication2016
AuthorsBuffington, Kevin J., Bruce D. Dugger, Karen M. Thorne, and John Y. Takekawa
JournalRemote Sensing of Environment
Volume186
Paginationp.616-625
Date Published2016, Dec.1
Call NumberOSU Libraries: Electronic Subscription
KeywordsSiletz Bay, Millport Slough, Coos Bay, South Slough, Bandon Marsh, San Francisco Bay, Southern California, climate, sea level, salt marsh, wetland delineation, remote sensing, Creeping bentgrass = Agrostis stolonifera, Lyngbye’s sedge = Carex lyngbyei,
NotesA changing climate means changing sea levels. Rising sea levels threaten coastal marshes. In order to better plan for this change, airborne light detection and ranging (lidar) is commonly used to determine a base measurement, the digital elevation model, for coastal marshes. Unfortunately, marsh vegetation can prevent this tool from accurately measuring marsh elevation. This is a technical article about correcting lidar measurements by adjusting for distortions caused by vegetation. The marsh at Millport Slough on Siletz Bay is among the marshes studied. Physical parameters of the marsh and dominant vegetation are given.
DOI10.1016/j.rse.2016.09.020