ABSTRACT
P. oceanica is a species of seagrass indigenous to the shallow water seabeds in Mediterranean Sea. The large underwater meadows it forms span the shallower waters around the islands and are vital to the sustainability of its encompassing marine ecosystem. Recently, environmental impacts have resulted in an irreversible degradation of the species. Stronger evidence of degradation is needed to provide reason for changing policy on activities that are potential sources of environmental impact. By running a classification algorithm on aerial imagery containing visible P. oceanica, data points that circumscribe the species in polygons can be created. By projecting this data on the original images, information about the species' environmental presence is visualized. Accuracy of the data can be verified by collecting ground truthing data. When repeated over multiple years, a history of the environment and the species' coverage can be built, providing evidence of environmental trends.
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Index Terms
- Assistive technologies to track ocean forests: data visualization and clustering for large scale systems
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