Remote Sensing Pioneer and Agricultural Technology Expert
Dr. Lammert Kooistra has recently been appointed as Professor of Remote Sensing at Wageningen University, advancing from his previous role as associate professor at the Laboratory of Geo-Information Science and Remote Sensing. His research focuses on developing integrated sensing approaches to understand and improve sustainable plant production systems, combining UAV and satellite sensing with active canopy measurements and machine learning. His expertise spans drone technology, hyperspectral sensing systems, and geographical information systems, with particular emphasis on agricultural and environmental applications. He leads the development of advanced multi-sensor systems that can retrieve individual plant traits, from basic measurements like height to complex characteristics such as Sun Induced Fluorescence (SIF). His significant publications include groundbreaking work on UAV-based LiDAR for crop height estimation, automated pest detection using deep learning, and diurnal variation of chlorophyll fluorescence in agricultural crops. As course instructor for "Drones for Agriculture: Prepare and Design Your Drone (UAV) Mission," he shares his expertise in drone technology and remote sensing applications with a global audience. His research has garnered over 10,447 citations, reflecting his significant impact on the field of remote sensing and precision agriculture. At Wageningen University, he continues to advance the integration of multiple sensing technologies while leading research initiatives that combine ecological modeling with cutting-edge remote sensing applications for sustainable agriculture and environmental management.