This Research Topic seeks to publish articles that demonstrate the utility of image velocimetry techniques for sensing the fluvial environment; that advance the development of image-based techniques; and inform deployment practices for the sensing of river flow processes. Of particular interest are research articles and commentaries where image-based techniques have:
• Advanced fundamental understanding of fluvial processes (e.g. flood flow dynamics)
• Been used as the basis for predictions of fluvial processes (e.g. bank erosion, sediment transport)
• Led to the advancement of industrial, or management practices (e.g. river flow quantification, eco-hydraulic assessments, hazard assessment, assessment of engineering structure performance).
In addition, research articles that report technical advances are also welcomed. These may include, but are not limited to:
• New approaches for image-based sensing of river flows
• Assessments of the applicability and accuracy of existing workflows and techniques
• Advancement of existing image velocimetry techniques
• Methodological refinements and recommendations for best practice
By
He is Full Professor of Hydrology and Hydraulic Constructions at the University of Naples Federico II. He is currently chair of the IAHS MOXXI working group. His research primarily centers on hydrological modeling and monitoring. Recognizing the challenges posed by the complexity and limitations of traditional hydrological observations, he actively explores advanced and alternative monitoring techniques, such as the utilization of Unmanned Aerial Systems (UAS) coupled with image processing.