Multiscale, object-based image analysis for mapping geomorphic and ecological zones on coral reefs

Phinn, Stuart R., Roelfsema, Chris M. and Mumby, Peter J. (2012) Multiscale, object-based image analysis for mapping geomorphic and ecological zones on coral reefs. International Journal of Remote Sensing, 33 12: 3768-3797. doi:10.1080/01431161.2011.633122


 
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Author Phinn, Stuart R.
Roelfsema, Chris M.
Mumby, Peter J.
Title Multiscale, object-based image analysis for mapping geomorphic and ecological zones on coral reefs
Journal name International Journal of Remote Sensing   Check publisher's open access policy
ISSN 0143-1161
1366-5901
Publication date 2012-06-01
Year available 2011
Sub-type Article (original research)
DOI 10.1080/01431161.2011.633122
Open Access Status DOI
Volume 33
Issue 12
Start page 3768
End page 3797
Total pages 30
Place of publication Colchester, Essex, United Kingdom
Publisher Taylor & Francis
Language eng
Subject 1900 Earth and Planetary Sciences
Abstract Providing accurate maps of coral reefs where the spatial scale and labels of the mapped features correspond to map units appropriate for examining biological and geomorphic structures and processes is a major challenge for remote sensing. The objective of this work is to assess the accuracy and relevance of the process used to derive geomorphic zone and benthic community zone maps for three western Pacific coral reefs produced from multi-scale, object-based image analysis (OBIA) of high-spatial-resolution multi-spectral images, guided by field survey data. Three Quickbird-2 multi-spectral data sets from reefs in Australia, Palau and Fiji and georeferenced field photographs were used in a multi-scale segmentation and object-based image classification to map geomorphic zones and benthic community zones. A per-pixel approach was also tested for mapping benthic community zones. Validation of the maps and comparison to past approaches indicated the multi-scale OBIA process enabled field data, operator field experience and a conceptual hierarchical model of the coral reef environment to be linked to provide output maps at geomorphic zone and benthic community scales on coral reefs. The OBIA mapping accuracies were comparable with previously published work using other methods; however, the classes mapped were matched to a predetermined set of features on the reef.
Keyword Remote Sensing
Imaging Science & Photographic Technology
Remote Sensing
Imaging Science & Photographic Technology
IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
REMOTE SENSING
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID DP0663
Institutional Status UQ
Additional Notes Available online: 08 Dec 2011

 
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Created: Wed, 25 Jan 2012, 19:32:46 EST by Gail Walter on behalf of School of Biological Sciences