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Assistive technologies to track ocean forests: data visualization and clustering for large scale systems

Published:29 May 2013Publication History

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.

References

  1. Shapiro, Ari D. "Spanish Scientists Work to Save Seagrass." PRIs The World RSS. The World, 5 Mar. 2013.Google ScholarGoogle Scholar
  2. Management of Natura 2000 Habitats: Posidonia Beds (Posidonian Oceanicae). Tech. no. 1120. European Commission, 24 Jan. 2008.Google ScholarGoogle Scholar
  3. Archipelagos Institute of Marine Conservation. Bathy35N_200_19092011_merged {Plain Text File}. Sep. 20, 2011.Google ScholarGoogle Scholar

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  1. Assistive technologies to track ocean forests: data visualization and clustering for large scale systems

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      PETRA '13: Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments
      May 2013
      413 pages
      ISBN:9781450319737
      DOI:10.1145/2504335

      Copyright © 2013 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 29 May 2013

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