![]() ![]() This method allows for effective monitoring that can inform management and restoration efforts. The classification produced an overall accuracy of 79% in classifying habitats in a coastal environment with little spectral and textural separability, indicating that GEOBIA can differentiate intertidal habitats. We developed a ruleset to allow for a repeatable workflow, further decreasing the temporal cost of monitoring. GEOBIA allows for a more informed classification than traditional techniques by providing textural and geometric context to habitat covers. These products were used in a geographic object-based image analysis (GEOBIA) workflow to classify mudflat, salt marsh, and oyster reef habitats. The structure from motion photogrammetry techniques were used to generate an orthomosaic and a digital surface model from the UAS imagery. In this study, a UAS was used to survey intertidal habitats along the Gulf of Mexico coastline in Florida, USA. Unoccupied aircraft systems (UASs) have demonstrated the potential to mitigate these costs as they provide a platform to rapidly, safely, and inexpensively collect data in coastal areas. Traditional intertidal habitat monitoring techniques are cost and time-intensive, thus limiting how frequently resources are mapped in a way that is often insufficient to make informed management decisions. ![]() However, these systems face significant global change as a result of a combination of anthropogenic stressors like coastal development and environmental stressors such as sea-level rise and disease. Intertidal habitats like oyster reefs and salt marshes provide vital ecosystem services including shoreline erosion control, habitat provision, and water filtration. ![]()
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