Lammert Kooistra

Lammert Kooistra is a Professor at the Laboratory of Geo-information Science and Remote Sensing, part of Wageningen University & Research. His research focuses on advancing remote sensing technologies and unmanned aerial vehicles (UAVs) for precision agriculture, environmental monitoring, and ecological applications. He leads projects involving UAV-based LiDAR, hyperspectral imaging, and SLAM algorithms for agricultural and ecological studies.

Key research areas include crop health monitoring, vegetation dynamics analysis, and developing novel UAV systems for data collection. His work bridges robotics, computer vision, and environmental science, with applications in precision livestock farming, disease detection in crops, and soil health assessment. Kooistra has pioneered methods for body weight estimation in cattle using LiDAR and has contributed to datasets on grassland management and forest phenology.

Recent projects involve SLAM (Simultaneous Localization and Mapping) for UAV navigation in vineyards, thermal infrared sensing for stress responses in forests, and deep learning models for soybean yield prediction. He supervises PhD candidates in areas like wetland monitoring, UAV-based disease detection, and semantic localization in woody plants.

Collaborations span international institutions, with contributions to open datasets on UAV LiDAR, hyperspectral imagery, and agricultural monitoring. His lab emphasizes practical applications of geoinformatics to address challenges in sustainable agriculture and environmental stewardship.