EXPANDING COASTSAT SHORELINE DETECTION ALGORITHM TO TRACK COASTAL VEGETATION AND URBAN CHARACTERISTICS FROM SATELLITE DATA
ICCE 2022
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EXPANDING COASTSAT SHORELINE DETECTION ALGORITHM TO TRACK COASTAL VEGETATION AND URBAN CHARACTERISTICS FROM SATELLITE DATA. (2023). Coastal Engineering Proceedings, 37, management.59. https://doi.org/10.9753/icce.v37.management.59

Abstract

Classical survey methods involve making in situ measurements of shoreline locations, which can never scale to the time spans and spatial extent necessary to cover large coastal areas. For 50 years now, satellites have provided images of the earth with reasonable resolution that can provide some insight into shoreline evolution over large timescales and wide areas. Determining shoreline location from satellite imagery involves a general pipeline of image pre-processing, segmentation of the image into water and beach, and then determination of the shoreline location. The goal of the research here is to expand the capabilities of CoastSat to include identification of coastal vegetation and tracking of vegetated shoreline evolution. Accurate measurements of coastal vegetation extent and evolution from satellites may help our understanding of the health of shoreline ecosystems as sea levels rise and storms become more intense. Shoreline trends observed from satellite imagery will provide information to coastal communities that can be used for effective spatial planning, sustainable coastal development, coastal engineering projects, and mitigation of climate change impacts.
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Copyright (c) 2023 Adriana Lanza, Ryan M. Sullenberger, Justin G. Chen, Julia Hopkins,