Special Issue “Global Gridded Soil Information Based on Machine Learning”
6 November 2020
Remote Sensing workshop
8 November 2020

Advances in Image Velocimetry for Sensing River Flows

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 https://www.frontiersin.org/research-topics/17302/advances-in-image-velocimetry-for-sensing-river-flows
Salvatore Manfreda
Author: Salvatore Manfreda

Salvatore Manfreda is Full Professor of Water Management, Hydrology and Hydraulic Constructions at the University of Naples Federico II. He is currently the Chair of the COST Action HARMONIOUS and the Scientific Coordinator of the Research Grant aimed at the Development of the Flood Forecasting System of the Basilicata Region Civil Protection. He has broad interest on distributed modeling, flood risk, stochastic processes in hydrology and UAS-based monitoring. homepage: https://www.salvatoremanfreda.it/