SHORELINE CLASSIFICATION AND EROSION CHARACTERIZATION ON THE ILLINOIS COAST OF LAKE MICHIGAN USING SYNTHETIC APERTURE RADAR
The traditional methods for measuring shoreline change with fine spatial or temporal resolution tend to be labor-intensive and may be difficult to deploy in the time immediately surrounding large erosional events such as storms or ice formation. Additionally, traditional shoreline measurements often rely on ground-based measurement points that are subject to erosion, accretion, or other modes of change over time, particularly over the winter. In such a situation, remotely sensed data may provide complementary and even improved data quality and density. Optical satellite data has been used extensively to monitor shoreline change, but its use can be limited due to cloud cover, particularly during winter months. The lack of data coverage from optical satellites during winter is particularly problematic as there are many open scientific questions about the erosional dynamics along the shoreline of high latitude bodies of water in response to ice.
We use Synthetic Aperture Radar (SAR) data to delineate a section of shoreline in Illinois Beach State Park, over the course of several years and through all seasons to investigate seasonal variations in erosion. The shoreline at our study site has experienced more than a hundred feet of retreat in the past decade resulting in potentially significant impacts to wetland ecology and park infrastructure. Using SAR data, we classify the land-water boundary through time and use this classification to establish erosion trends at this site and the surrounding area to investigate the erosional dynamics. SAR data analysis allows us to extend the spatial coverage of previous ground-based measurements and complements existing optical satellite data, which are used to confirm our findings.