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Seagrass cover map for the optically complex waters of Moreton Bay, Queensland, Australia (2015)

The University of Queensland
Associate Professor Chris Roelfsema (Aggregated by) Associate Professor Chris Roelfsema (Aggregated by) Dr Eva Kovacs (Aggregated by) Dr Eva Kovacs (Aggregated by) Dr James Udy (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.1594/PANGAEA.937501&rft.title=Seagrass cover map for the optically complex waters of Moreton Bay, Queensland, Australia (2015)&rft.identifier=10.1594/PANGAEA.937501&rft.publisher=The University of Queensland&rft.description=The aim of this study was to create a seagrass presence/absence map for the optically complex waters of Moreton Bay. The capability to map seagrass meadows in waters of varying clarity using a consistent and repeatable method is an invaluable resource for conservation and management of seagrass regionally and globally. The map was created using an adaptation of a Google Earth Engine (GEE) cloud processing and machine learning algorithm which for seagrass, utilized citizen science spot check field data, Landsat 8 OLI imagery pulled directly from GEE, a bathymetry layer (30 m), slope derived from depth and a coral mask. This dataset consists of a shapefile that shows seagrass presence (≥ 25 % cover) and substrate mapped simultaneously for the turbid waters of the Western Bay coastline and the optically clear waters of the Eastern Banks, Moreton Bay, Queensland, Australia.&rft.creator=Associate Professor Chris Roelfsema&rft.creator=Associate Professor Chris Roelfsema&rft.creator=Dr Eva Kovacs&rft.creator=Dr Eva Kovacs&rft.creator=Dr James Udy&rft.creator=Dr Mitchell Lyons&rft.creator=Dr Mitchell Lyons&rft.creator=Lyons, Mitchell&rft.creator=Phinn, Stuart&rft.creator=Phinn, Stuart&rft.creator=Professor Stuart Phinn&rft.creator=Professor Stuart Phinn&rft.creator=Roelfsema, Christiaan&rft.creator=Simon Baltais&rft.date=2021&rft_rights=The University of Queensland&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=benthic community&rft_subject=citizen science&rft_subject=field data&rft_subject=Google Earth Engine&rft_subject=Moreton Bay&rft_subject=remote sensing&rft_subject=Seagrass&rft_subject=Behavioural ecology&rft_subject=Ecology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Physical geography and environmental geoscience not elsewhere classified&rft_subject=Physical geography and environmental geoscience&rft_subject=EARTH SCIENCES&rft.type=dataset&rft.language=English Access the data
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c.roelfsema@uq.edu.au

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The aim of this study was to create a seagrass presence/absence map for the optically complex waters of Moreton Bay. The capability to map seagrass meadows in waters of varying clarity using a consistent and repeatable method is an invaluable resource for conservation and management of seagrass regionally and globally. The map was created using an adaptation of a Google Earth Engine (GEE) cloud processing and machine learning algorithm which for seagrass, utilized citizen science spot check field data, Landsat 8 OLI imagery pulled directly from GEE, a bathymetry layer (30 m), slope derived from depth and a coral mask. This dataset consists of a shapefile that shows seagrass presence (≥ 25 % cover) and substrate mapped simultaneously for the turbid waters of the Western Bay coastline and the optically clear waters of the Eastern Banks, Moreton Bay, Queensland, Australia.

Issued: 06 2021

Data time period: 06 2021 to 07 2021

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Subjects
Biological Sciences | Behavioural Ecology | Earth Sciences | Ecology | Google Earth Engine | Moreton Bay | Physical Geography and Environmental Geoscience | Physical Geography and Environmental Geoscience Not Elsewhere Classified | Seagrass | benthic community | citizen science | eng | field data | remote sensing |

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local : UQ:289097

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