Mazin Saber

Mazin Saber holds the position of Postdoctoral Research Associate at the Sanchez Lab, Yuma Agricultural Center, affiliated with the University of Arizona. His work focuses on applying remote sensing and satellite technologies to improve agricultural water management, particularly in arid environments like Yuma, Arizona. He specializes in evapotranspiration modeling, irrigation scheduling, and crop water stress indices using multisource satellite data (Sentinel, Planet, ECOSTRESS) and ground-based measurements like eddy covariance systems.

Research interests include precision agriculture, water resource optimization in desert farming, and development of decision support tools for crop water management. His work integrates remote sensing with hydrological modeling to address challenges in irrigated agriculture, including real-time irrigation detection, energy balance models for crop monitoring, and validation of FAO-56 methodologies in arid zones.

Recent studies highlight advancements in crop water stress indices, fusion of radar and optical satellite data, and application of machine learning techniques for precision irrigation. His research has been applied across multiple crops including lettuce, durum wheat, and winter vegetables, with a focus on the Lower Colorado River Basin and Yuma agricultural regions.

While no formal awards are listed, his contributions have advanced remote sensing applications in arid agriculture. Currently involved in the Sanchez Lab's projects at the Yuma Agricultural Center, focusing on automation of water management practices and development of scalable solutions for desert farming systems.