Periodic Reporting for period 3 - Bug-Flash (Coherent Back-Lasing from Atmospheric Insects)
Periodo di rendicontazione: 2023-02-01 al 2024-07-31
In this project we explore the nature of specular flashes from insects and how information on nano- and microstructures in such flashes could provide the necessary specificity to distinguish the millions of insects species. We investigate museum species with polarimetric infrared hyperspectral imaging in specular mode and developing, build and test new lidar technology to capture light flashes from insects wings in field. This is far from trivial, flashes only last for a couple of microseconds and require sample rates up to hundred thousand hertz. During these random instances in time we want to capture enough light from a distant insect to deduce polarimetric- or spectral properties of the backscatter. After gathering hundreds of thousands insect lidar observations, we use statistics to infer the strange range dependence and the benefits in terms of species specificity.
Our group have developed various pieces of instrumentation such as polarization lidars at different wavelengths, hyperspectral lidars and super fast lidars. We have also developed hyperspectral imaging methods and advances target characterization instruments. All of this specifically aims to answer questions on coherent scattering from insect wings. All of the instrumentation is also portable and deployable in field.
So far, our group have also made numerous field campaigns. Because of pandemic, these have primarily been in Sweden, but this have not prevented to adress our research questions and test feasibility of the methods we develop. We have conducted measurements on forestry pests, investigated biodiversitet assessment over a meadow and recorded polarimetric range profiles of mosquitoes over a lake. Some campaigns have only been aimed at testing technological concepts to evaluate signals to noise and field performance at different sample rates.
Some of the field campaigns yielded massive amount of data. It takes time to process such lidar and to interpret it properly. We spent time on developing robust lidar evaluation scripts and carefully inspect data. This is also the case for hyperspectral imaging of pinned insects.