IRENE : Radar imaging for water level estimation

Summary

The IRENE project aims to estimate water levels in ungauged river sections using satellite radar imagery (Sentinel-1, Radarsat). It creates virtual water measurement stations to improve flood mapping and forecasting, thus supporting the INFO-Crue initiative. The goal is to provide low-cost, near-daily data in areas not covered by ground stations, while developing a prototype tool for internal evaluation.

This webinar will be held in French.

Speaker

Karem Chokmani is a professor in remote sensing and statistical hydrology at INRS (Quebec, Canada). He holds a master's degree in rural engineering and a PhD in geomatics from Université Laval, and an engineering degree in rural engineering from INAT (Tunisia). Professor Chokmani works on developing methods for estimating and monitoring water resources, both locally and regionally, to enable the application of remote sensing data and geomatic tools in hydrology. His research interests combine in situ observation methods, statistical modeling, the synoptic quality of remote sensing data, and the spatial processing capabilities of geomatic tools. With extensive experience in developing and applying digital approaches, his team creates analysis and decision-support tools applicable to various contexts, utilizing hydroinformatics, geomatics, and remote sensing. He has developed several areas of expertise, including hazard modeling, natural risk management, and precision agriculture. He also leads the environmental drone remote sensing laboratory.