AgHive team presented a working paper “Drone-Based Ultra-High-Resolution Evapotranspiration Estimation using Synchronized Thermal and Multispectral Sensors and the HSEB Model” at the AMS 38th Conference on Hydrology 

Dr. Hadi Jaafar, Associate Professor and Chairman at the Department of Agriculture at FAFS, AUB, and Ms. Lara Sujud, Research Assistant and MS Irrigation graduate, virtually presented a working paper titled “Drone-Based Ultra-High-Resolution Evapotranspiration Estimation using Synchronized Thermal and Multispectral Sensors and the HSEB Model” in Session 11B of the 38th Conference on Hydrology’s 104th American Meteorological Society (AMS) Annual Meeting in Baltimore, USA, on January 31, 2024. 

The session (11B) focused on the multifaceted role of evapotranspiration, covering its impacts on ecosystems, agriculture, drought monitoring, and climate.  

This study investigates the use of unmanned aerial vehicles (UAVs or drones), specifically the MicaSense Altum sensor combined with the Hybrid Single Source Energy Balance Model (HSEB), to obtain ultra-high resolution evapotranspiration (ET) over a sprinkle-irrigated potato field in AREC, Bekaa, Lebanon. The research demonstrates the effectiveness of the drone-based approach, highlighting close agreement with established methods like Eddy Covariance.