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Improving the synoptic mapping of coral reef geomorphology using object-based image analysis

Journal Article


Abstract


  • Monitoring coral reefs is of great importance for environmental management of these

    ecosystems. The use of remote sensing and geographical information systems enables rapid

    and effective mapping of the geomorphology of reefs that can be used as a basis for

    biodiversity and habitat assessments. However, pixel-based approaches have not been

    appropriate for detailed mapping of such complex systems. An object-based image analysis

    (OBIA) approach was used in this study to map intra-reef geomorphology of coral reefs

    across the Torres Strait region using Landsat ETM+ imagery. By combining image analysis

    techniques and a non-parametric neural network classifier and incorporating additional

    spatial information such as context, shape and texture, the accuracy of the segmentation and

    classification was improved considerably. A large-scale synoptic map of 10 geomorphological

    classes was produced for Torres Strait with an overall accuracy of 75%. The OBIA

    approach employed in this research has enabled the geomorphology of reef platforms to be

    mapped for the first time at such accuracy and descriptive resolution

Publication Date


  • 2011

Citation


  • Leon, J. X. & Woodroffe, C. D. (2011). Improving the synoptic mapping of coral reef geomorphology using object-based image analysis. International Journal of Geographical Information Science, 25 (6), 949-969.

Scopus Eid


  • 2-s2.0-79960684595

Ro Metadata Url


  • http://ro.uow.edu.au/scipapers/5260

Has Global Citation Frequency


Number Of Pages


  • 20

Start Page


  • 949

End Page


  • 969

Volume


  • 25

Issue


  • 6

Abstract


  • Monitoring coral reefs is of great importance for environmental management of these

    ecosystems. The use of remote sensing and geographical information systems enables rapid

    and effective mapping of the geomorphology of reefs that can be used as a basis for

    biodiversity and habitat assessments. However, pixel-based approaches have not been

    appropriate for detailed mapping of such complex systems. An object-based image analysis

    (OBIA) approach was used in this study to map intra-reef geomorphology of coral reefs

    across the Torres Strait region using Landsat ETM+ imagery. By combining image analysis

    techniques and a non-parametric neural network classifier and incorporating additional

    spatial information such as context, shape and texture, the accuracy of the segmentation and

    classification was improved considerably. A large-scale synoptic map of 10 geomorphological

    classes was produced for Torres Strait with an overall accuracy of 75%. The OBIA

    approach employed in this research has enabled the geomorphology of reef platforms to be

    mapped for the first time at such accuracy and descriptive resolution

Publication Date


  • 2011

Citation


  • Leon, J. X. & Woodroffe, C. D. (2011). Improving the synoptic mapping of coral reef geomorphology using object-based image analysis. International Journal of Geographical Information Science, 25 (6), 949-969.

Scopus Eid


  • 2-s2.0-79960684595

Ro Metadata Url


  • http://ro.uow.edu.au/scipapers/5260

Has Global Citation Frequency


Number Of Pages


  • 20

Start Page


  • 949

End Page


  • 969

Volume


  • 25

Issue


  • 6