Full description
Archived high spatial resolution images were pre-processed and mosaics were created for the reef systems. Georeferenced benthic photo transect surveys were used to acquire cover information. Field and image data were integrated using an object-based image analysis approach that resulted in a hierarchically structured classification. Objects were assigned class labels based on the dominant benthic cover type, or location-relevant ecological and geomorphological principles, or a combination thereof. This generated a hierarchical sequence of reef maps with an increasing complexity in benthic thematic information that included: 'reef', 'reef type', 'geomorphic zone', and 'benthic community'. The overall accuracy of the 'geomorphic zone' classification for each of the six study sites was 76-82% using 6-10 mapping categories. For 'benthic community' classification, the overall accuracy was 52-75% with individual reefs having 14-17 categories and reef systems 20-30 categories.Issued: 2013
Subjects
Environmental Science and Management |
Environmental Sciences |
Environmental Management |
Environmental Monitoring |
eng |
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Other Information
Mapping coral reefs at reef to reef-system scales, 10s-1000s km(2), using object-based image analysis
local : UQ:306370
Roelfsema, Chris, Phinn, Stuart, Jupiter, Stacy, Comley, James and Albert, Simon (2013). Mapping coral reefs at reef to reef-system scales, 10s-1000s km(2), using object-based image analysis. International Journal of Remote Sensing, 34 (18), 6367-6388. doi: 10.1080/01431161.2013.800660
Research Data Collections
local : UQ:289097
School of Earth Sciences Publications
local : UQ:161068