Autonomous tree health analyzer based on imaging UAV spectrometry (ASPECT)


Main funder

Funder's project number: 327862


Funds granted by main funder (€)

283 922,00


Funding program

Academy Project, AoF (Academy of Finland)


Project timetable

Project start date: 01/01/2020

Project end date: 31/12/2022


Summary

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.


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Last updated on 2019-11-11 at 15:50