Erik Næsset
Professor
Statistical sampling techniques, remote-sensing-assisted management, alpine monitoring, and tropical biomass estimation.
Terje Gobakken
Professor
Remote sensing-assisted operational forest management, statistical sampling and monitoring of forest conditions and biodiversity.
Dr. Ole Martin Bollandsås
Associate professor
Field- and RS-based forest inventories. Change- and productivity determination using RS. Growth and yield modelling.
Dr. Hans Ole Ørka
Associate professor
Remote sensing applications for forest inventory, -monitoring and ecological studies, using platforms and sensors.
Dr. Victor Strimbu
Researcher
Remote sensing-assisted forest inventory. Forest planning and scenario analysis. Monte-Carlo simulations.
Dr. Lennart Noordermeer
Researcher
Exploring the integration of traditional methods with remote sensing to enhance operational forest inventories.
Dr. Svetlana Saarela
Researcher
Development of statistical frameworks for forest inventories by combining remotely sense data with field sample data.
Dr. Claire Céline Devos
Researcher
Drought stress monitoring of spruce trees using remotely sensed data.
Dr. Marie-Claude Jutras-Perreault
Post.Doc
Using remotely sensed data to assess forest condition, forest cover change, and biodiversity in the boreal region.
Dr. Eirik Næsset Ramtvedt
Post.Doc
Albedo and vegetation-climate feedback effects of boreal forest using remote sensing data.
Maria Åsnes Moan
PhD-student
Site index determination using remotely sensed data.
Jaime Candelas Bielza
PhD-student
Improving forest inventories using remote sensing and machine learning, particularly for tree species data.
Julius Wold
PhD-student
Mapping near natural forest with deep learning methods.
Håkon Næss Sandum
PhD-student
Applying deep learning and AI methods to improve forest inventories.
Bjørn-Eirik Roald
Research technician
Spatial data collection and processing (GNSS, LiDAR, GIS)