Abstract: Computer vision and deep-learning technologies have unlocked the possibility to automate a large number of vision tasks. This talk will cover different optical and image processing strategies to upscale monitoring of water processes. From global satellite-based monitoring of reservoirs, upscaling coastal classification and shoreline dynamics to edge computing devices for water quality monitoring.
Short Bio: Antonio Moreno-Rodenas is a senior researcher at Deltares, the insitute of applied research for Water and Geotechnics of the Netherlands. He holds a PhD from the Technical University of Delft on the quantification of uncertainties and emulation of large-scale water quality models. At Deltares he coordinates the insitution’s research program on Enabling technologies (Data Science and Artificial Intelligence). He is a researcher at the unit of hydraulic engineering where he focuses on the development of novel methods to monitor water processes using local cameras, and remote sensed products at scale.