Jamal El Farkh is a researcher and academic specializing in remote sensing, thermal infrared applications, evapotranspiration modeling, precision agriculture, and water resource management. He obtained his academic training in geospatial sciences and remote sensing, with a strong focus on land surface processes and agricultural monitoring in arid and semi-arid regions. His research interests include thermal remote sensing, land surface temperature retrieval and downscaling, evapotranspiration estimation, irrigation management, radiative transfer modeling, and the application of artificial intelligence in Earth observation. He has contributed to the development and validation of innovative approaches for high-resolution evapotranspiration mapping and irrigation decision-support systems using satellite data such as Sentinel-2 and Sentinel-3. Dr. El Farkh has been involved in several national and international research projects related to sustainable agriculture, climate resilience, water use efficiency, and environmental monitoring. His recent work focuses on integrating remote sensing, machine learning, and field observations to support precision irrigation and agricultural water management.