Academy of Finland
Funding decision
 
Applicant / Contact person Honkavaara, Eija
Organisation Finnish Geospatial Research Institute (FGI) in the National Land Survey of Finland
Project title Autonomous tree health analyzer based on imaging UAV spectrometry
Decision No. 327861
Decision date 04.09.2019
Funding period 01.01.2020 - 31.12.2022
Funding 297 574
WebFOCUS Report
Project description
Autonomous unmanned aerial vehicles (UAV), flying robots, are utilized increasingly in our society. They can capture data of the environment rapidly and safely. Sensors and analytics make UAVs intelligent. Finnish Geospatial Research Institute and University of Jyväskylä jointly form the ASPECT-research consortium, which objective is to develop an autonomous UAV-based tree health analyzer based on imaging spectroscopy and machine learning. ASPECT-consortium is a multidisciplinary team covering geoinformatics, remote sensing, photogrammetry, hyperspectral imaging, computer, computational, and automation sciences.The project will response to the urgent need of developing efficient technologies for canopy health monitoring that are needed due to increasing frequency and severity of forest disturbance due to climate change.