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
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 different platforms and sensors.
Dr. Svetlana Saarela
Researcher
Development of statistical frameworks for forest inventories by combining remotely sensed data with field sample data.
Dr. Marie-Claude Jutras-Perrault
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 forests using remote sensing data.
Dr. Rachel Kuzmich
Post.Doc
Using multi-sensor multi-temporal remote sensing data to examine climate-related forest change.
Dr. Arvin Fakhri
Post.Doc
Exploring potential direct links between biodiversity and remotely sensed data across different scales, aiming to produce wall-to-wall biodiversity maps
Dr. Maria Åsnes Moan
Post.Doc
Using remotely sensed data to predict forest variables indicative of suitability for continuous cover forestry.
Alena Hensel
PhD-student
Modeling evapotranspiration using remotely sensed data.
Kim Andre Anstensen Nielsen
PhD-student
Predicting biophysical variables, structural complexity, and biodiversity in forests using remotely sensed data and artificial intelligence.
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).