Topical Advisory Panel for section 'New Sensors, New Technologies and Machine Learning in Water Sciences'

Please see the section webpage for more information on this section.

Members

Construction Technologies Institute (ITC), National Research Council (CNR), 70124 Bari, Italy
Interests: land use/land cover modelling; vegetation; forest fire; climate change; prediction; geostatistical analysis; ecological monitoring and assessment; geoinformatics (GIS); multi-/hyperspectral remote sensing; machine learning; deep learning
Special Issues, Collections and Topics in MDPI journals
Badong National Observation and Research Station of Geohazards (BNORSG), China University of Geosciences, Wuhan, China
Interests: geohazard prediction; machine learning
Special Issues, Collections and Topics in MDPI journals
Department of Civil Engineering, National Taipei University of Technology, Taipei City 106, Taiwan
Interests: surface water hydrology; hydrological modeling; low impact development; remote sensing
Special Issues, Collections and Topics in MDPI journals
Infrastructure and Environment Research Division, School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
Interests: sediment transport; infrastructure scour; measurement and instrumentation; artificial intelligence and machine learning; incipient motion of sediment; hydrodynamics; earth surface processes and hazards; environmental hydraulics; geomorphic processes
Special Issues, Collections and Topics in MDPI journals
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