Dr. Kristof Van Tricht holds a Master’s degree in bioscience engineering from KU Leuven and focused during his thesis on the use of space-based hyperspectral images for the detection of invasive tree species. He continued at KU Leuven and pursued a doctoral degree in the Earth and Environmental Sciences department, studying regional climates with a focus on the use of CloudSat radar and CALIPSO lidar satellite observations to quantify the impact of clouds on the Greenland ice sheet. Since 2016, he is part of the agricultural applications team of VITO Remote Sensing, where he uses remote sensing technologies for the mapping and monitoring of agriculture from local to global scales. A part of his work focuses on handling multi-modal satellite data streams using state of the art deep learning algorithms. His presentation on pixel-based vegetation index reconstruction will dive into more detail on the combined use of Sentinel-1 and Sentinel-2 for the generation of consistent and gap-free vegetation index data streams that can serve a wide range of downstream applications.
