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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. Objective of the ASPECT-consortium 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, RS, photogrammetry, hyperspectral imaging, computer, computing, and automation sciences Consortium has agreed scientific collaboration with universities from Brazil and Canada, and industry collaboration with national photonic and ICT companies. The project will respond 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.


Contact persons
Research groups
Funding organisation or partners
Academy of Finland
Project partners
University of Jyväskylä