Data

Global coastal geomorphology dataset based on machine learning methods

The University of Queensland
Dr Daniel Harris (Aggregated by) Dr Daniel Harris (Aggregated by) Dr Yongjing Mao (Aggregated by) Dr Yongjing Mao (Aggregated by) Dr Yongjing Mao (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:doi10.48610/f60606a&rft.title=Global coastal geomorphology dataset based on machine learning methods&rft.identifier=RDM ID: 69a8b8a0-d27e-11ec-b03f-7b7ca2d777f7&rft.publisher=The University of Queensland&rft.description=This dataset is related to the paper “Global Coastal Geomorphology – Integrating Earth Observation and Geospatial Data” published in Remote Sensing of Environment. It classifies coastal geomorphology around the world into beach, bedrock and wetland with machine learning methods based on satellite images and existing geospatial datasets.&rft.creator=Dr Daniel Harris&rft.creator=Dr Daniel Harris&rft.creator=Dr Yongjing Mao&rft.creator=Dr Yongjing Mao&rft.creator=Dr Yongjing Mao&rft.creator=Dr Yongjing Mao&rft.creator=Professor Stuart Phinn&rft.creator=Professor Stuart Phinn&rft.date=2022&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Geomorphology and Regolith and Landscape Evolution&rft_subject=EARTH SCIENCES&rft_subject=PHYSICAL GEOGRAPHY AND ENVIRONMENTAL GEOSCIENCE&rft.type=dataset&rft.language=English Access the data
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s4522477@student.uq.edu.au
School of Earth and Environmental Sciences

Full description

This dataset is related to the paper “Global Coastal Geomorphology – Integrating Earth Observation and Geospatial Data” published in Remote Sensing of Environment. It classifies coastal geomorphology around the world into beach, bedrock and wetland with machine learning methods based on satellite images and existing geospatial datasets.

Issued: 2022

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Subjects
Earth Sciences | Geomorphology and Regolith and Landscape Evolution | Physical Geography and Environmental Geoscience | eng |

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local : UQ:289097

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