
Introduction
The main goal of the F-LIDAR-M project strives, at first, to develop a novel laser-induced fluorescence (LIF)
Raman lidar system to detect/characterize/map, in real-time for the first time in the world, different types of
ambient biological particulate matter (PM) (e.g. bio-aerosols, pollen, fungi, bacteria, ash, dust and
biomass/wood burning (BB) particles) during daytime and nighttime with a range of ~4-5 km, with high
spatio-temporal resolution, using Machine Learning (ML) Techniques. Furthermore, during experimental
campaigns, the collected F-LIDAR-M’s data will be used to elucidate the mechanisms controlling their
concentration near ground and improve existing pollen forecast models. Additional goals of F-LiDAR-M are to
provide near-real time information on the presence of bio-aerosols over the study area, as this is crucially
important for the early warning of the local population and minimize relevant health effects on humans and
improve public health/lifestyle, public safety and advance air quality and climate change research. Finally, the
role of selected pollen types on cloud formation will be studied in cloud chambers, to elucidate further the
mechanisms of the role of pollen on cloud formation.
Research partners
Acknowledgements
The research project, entitled “Real-time detection/Speciation of bio-aerosols profiling using Fluorescence LiDAR techniques and Machine Learning (F-LIDAR-M)” is implemented in the framework of H.F.R.I call “3rd Call for H.F.R.I.’s Research Projects to Support Faculty Members & Researchers” (H.F.R.I. Project Number: 25096).

Contact us
Project Principal Investigator (PI)
Dr. Prof. Alexandros Papayannis
Laser Remote Sensing Unit, National Technical University of Athens
E-mail: apdlidar@mail.ntua.gr
Phone: +30 210 7722992
Project co-PI
Dr. Ioanna Pyrri
Department of Biology, National Kapodistrian University of Athens
E-mail: ipyrri@biol.uoa.gr
Phone: +30 210 7274253





