Spectral Diversity Metrics for Boreal Forests

Project Details


Hyperspectral remote sensing, or imaging spectroscopy, is rapidly becoming one of the most promising approaches for non-destructive and inexpensive monitoring of plant diversity across spatial and temporal scales. This project grasps the exciting opportunities available for scientific discoveries at the interface of hyperspectral remote sensing and biodiversity studies. The goal of the project is to develop a novel methodology for characterizing woody plant and lichen spectral diversity based on data collected with new mobile hyperspectral cameras and spectrometers, and apply it to mapping species diversity of boreal forests using airborne remote sensing data. The project proposes a new combination of disciplines - spectroscopy, remote sensing and taxonomy - and is carried out by a team of young researchers at Aalto University in collaboration with scientific partners from universities and research institutes in Finland and abroad, and a leading spectral imaging company.
Short titleDimebo
Effective start/end date01/09/201930/06/2022


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