Data fusion for mapping coral reef geomorphic zones - possibilities and limitations

Leon, J., Phinn, S. R., Woodroffe, C. D., Hamylton, S., Roelfsema, C. and Saunders, M. (2012). Data fusion for mapping coral reef geomorphic zones - possibilities and limitations. In: Raul Queiroz Feitosa, Gilson Alexandre Ostwald Pedro da Costa, Claudia Maria de Almeida, Leila Maria Garcia Fonseca and Hermann Johann Heinrich Kux, Proceedings of GEOBIA 2012: 4th International Conference on Geographic Object-Based Image Analysis. 4th International Conference on Geographic Object-Based Image Analysis (GEOBIA 2012), Rio de Janeiro, Brazil, (261-266). 7-9 May 2012.

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Name Description MIMEType Size Downloads
Author Leon, J.
Phinn, S. R.
Woodroffe, C. D.
Hamylton, S.
Roelfsema, C.
Saunders, M.
Title of paper Data fusion for mapping coral reef geomorphic zones - possibilities and limitations
Conference name 4th International Conference on Geographic Object-Based Image Analysis (GEOBIA 2012)
Conference location Rio de Janeiro, Brazil
Conference dates 7-9 May 2012
Proceedings title Proceedings of GEOBIA 2012: 4th International Conference on Geographic Object-Based Image Analysis
Place of Publication Sao Jose dos Campos, Brazil
Publisher National Institute for Space Research (INPE); Director´s Cabinet (GB); Service for Information and Documentation (SID)
Publication Year 2012
Sub-type Fully published paper
ISBN 9788517000607
9788517000591
Editor Raul Queiroz Feitosa
Gilson Alexandre Ostwald Pedro da Costa
Claudia Maria de Almeida
Leila Maria Garcia Fonseca
Hermann Johann Heinrich Kux
Start page 261
End page 266
Total pages 6
Collection year 2013
Language eng
Abstract/Summary Mapping the geomorphology of coral reefs provides key information to scientists and managers about the distribution, extent and structure of reef landforms. Geomorphological zones within a reef system are underpinned by geological and environmental gradients in physical and biological processes, usually resulting in well-defined and clearly recognisable landforms. Mapping of such zones has been traditionally undertaken by visual interpretation of remotely sensed imagery, with mapping performance constrained by the operator‟s contextual interpretation and/or imagery characteristics. However, mapping criteria are subjective and often not transferable to other sites. This study explores a semi-automatic, GEO-Object-Based Image Analysis (GEOBIA) approach to mapping intra-reef geomorphological zones based on fusing high-resolution satellite imagery and seamless elevation data. The method is applied to Quickbird and Worldview2 imagery of two coral reefs in Australia: Bet Reef, an intertidal lagoonal reef platform in the central Torres Strait; and Lizard Island, a fringing reef in northern Great Barrier Reef (GBR). Combining optical and bathymetric information considerably improved classification results from ~ 80% to ~ 90% overall accuracy. Rule sets developed based on this data fusion approach have the potential to be transferable between different reef types across geographic settings.
Keyword Coral reefs
Bathymetry
Geomorphology
Torres Strait
Great Barrier Reef
Q-Index Code EX
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Wed, 06 Mar 2013, 15:50:06 EST by Dr Megan Saunders on behalf of Global Change Institute