(2.55 MB)

Data presented in the paper: A Novel Instrument for Bed Dynamics Observation Supports: Machine Learning Applications in Mangrove Biogeomorphic Processes

Download (2.55 MB)
posted on 24.05.2020 by Zhan Hu, J. Zhou, C. Wang, H. Wang, Z. He, Y. Peng, P. Zheng, F. Cozzoli, T.J. (Tjeerd) Bouma
Short-term bed level dynamics on the intertidal flats plays a critical role in long-term coastal wetland dynamics. High-frequency observation techniques are crucial for better understanding of intertidal biogeomorphic evolutions. Here, we introduce an innovative instrument for bed dynamics observation, i.e. LSED-sensor (Laster based Surface Elevation Dynamics sensor). LSED-sensors inherit the merits of the previously-introduced optical SED-sensors as it enables continuous long-term monitoring with relatively low cost of labor and acquisition. By adapting Laster-ranging technique, LSED-sensors avoid touching the measuring object (i.e. bed surface) and they do not rely on daylights, as it is for the optical SED-sensors. Furthermore, the new LSED-sensors are equipped with a real-time data transmission function, enabling creating automatic observation networks covering multiple (remote) sites. During a 21-days field survey in a mangrove wetland, good agreement (R2=0.7) has been obtained between the automatic LSED-sensor measurement and an accurate ground-truth measurement method, i.e. Sedimentation Erosion Bars. The obtained LSED-sensor data was subsequently used to develop machine learning predictors, which revealed the main drivers of the accumulative and daily bed level changes. We expect that the LSED-sensors can further support machine learning applications to extract new knowledge on coastal biogeomorphic processes.


EPSRC, EP/R024537/1

NSFC, 51761135022

NWO, ALWSD.2016.026

Sustainable Deltas



College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, China; Department of Estuarine and Delta Systems, Royal Netherlands Institute of Sea Research (NIOZ) and Utrecht University, Yerseke, The Netherlands.; Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali, University of the Salento – 73100, Lecce, Italy.; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, and School of Marine Science, Sun Yat-sen University, Guangzhou, China.; Research Institute on Terrestrial Ecosystems (IRET) - National Research Council of Italy; Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, and State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing, China.; School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou, China.; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), China


4TU.Centre for Research Data

Time coverage



National mangrove park in Hailing island, Yangjiang city, Guangdong province, China

Geolocation Longitude


Geolocation Latitude



media types: application/vnd.openxmlformats-officedocument.wordprocessingml.document, application/x-matlab-data, application/zip, text/plain