Global identification and characterization of drivers of shoreline evolution: A novel method using Satellite Derived Shorelines and spatiotemporal characteristics

Since early history, humans have been attracted to coastal areas. This can be related to the economic benefits of these areas due to access of ocean navigation, coastal fisheries, tourism and recreation (Seas and Plans, 2011). Around 40% of the world’s population lives within 100 km of the coast (Seas and Plans, 2011). People are drawn to sandy...

Planetary-scale classification of natural and human-induced sandy shoreline evolution: A semi-automated method that employs Machine Learning and Satellite Derived Shorelines over the past decades

Today's coastal zones are densely inhabited as the majority of the world's population lives in these attractive areas. The shorelines in coastal zones are shaped by complex spatial and temporal variable interactions between natural forcings like changes in mean sea-level, tides, wave and wind conditions, and storm surges. Besides, natural...