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

Key Laboratory of Water Sediment Sciences, College of Water Sciences, Beijing Normal University, Beijing 100875, China
Interests: UAV remote sensing; machine learning; deep learning; phenology extraction; yield prediction; data fusion
Special Issues, Collections and Topics in MDPI journals

Website
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

Website
Department of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: sediment transport dynamics; monitoring environmental flows; geomorphic processes; instrumentation
Special Issues, Collections and Topics in MDPI journals
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