Surveillance of coastal erosion and marine habitat degradation using remote sensing and GIS
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Abstract
Accurately identifying coastal regions affected by historical, current, and prospective erosion is essential for effective coastal risk mitigation. In this context, satellite imagery is a significant synoptic and multi-temporal input source. The study employed Geographic Information System (GIS) and satellite imagery tools to map and model coastline change. The long-term patterns of advancement and retreat of the shoreline were assessed using Landsat imagery from the mid-1970s to 2025, followed by predicting and validating a short-term scenario over three years. Two distinct coastal ecosystems, Oceanic and Mediterranean, were examined. Initially, various proxies were examined, facilitating a multi-proxy study. The findings indicated that the approach yielded more precise results in high-energy situations (oceanic) and in areas where the shoreline is not urbanized. The findings underscored the significance of conducting multi-proxy analysis in specific research regions to more accurately delineate shoreline models. Significantly, the studies focused on evaluating uncertainty, essential when research outputs are contemplated for managerial purposes.
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