We got to express how exciting it is to work as a researcher within forestry in this film (in norwegian) aimed at middle school students that want to learn about different professions.
https://t.co/bUhImRS5v4
Vi fikk snakket om hvor spennende det er å jobbe med forskning på skog i denne filmen som er rettet mot ungdomsskolelever som vil lære mer om ulike yrker.
https://t.co/bUhImRS5v4
New paper by Eirik Næsset Ramtvedt showing how changes in regional land surface albedos have altered the planetary albedo during the 21st century. Read it now in @EarthsFutureEiC: https://t.co/Th7JIW9qHM
We’re recruiting! 2 PhDs scholarships at Norwegian University of Life Sciences (NMBU) on remote sensing & AI for improved forest mapping and precision forestry. Join us and help shape the future of forest data. Apply now!
Deadline to apply: May 3, 2026
https://t.co/jiNRPpvkTJ
Check out our new paper on mapping retention trees in harvested forests!
Low-density ALS (2 pulses/m²) reliably predicts density and volume, while spectral data improves species classification. A step towards semi-automated PEFC/FSC reporting.
https://t.co/ChauDeUSMA
Congratulations to Dr. Juliette Hunault-Fontbonne on a successful defense of her thesis entitled "In Search of Lost Connectivity: How can biodiversity and habitat networks be better integrated into boreal forest planning?”
Great presentation and poster contributions from Arvin Fakhri and Marie-Claude Jutras-Perreault at the INFOBIOM IV Workshop in Copenhagen!
Many thanks to the organizing committee for an excellent event, and to all participants for the inspiring talks and engaging discussions.
📢 PhD-position related to the the use of AI for mapping of forest ecosystems !
The focus will be to combine data from harvesters and remote sensing to improve forest mapping using AI.
Application deadline: 13 November, 2025
https://t.co/6tHd0VLvMQ
📢 1-Year Researcher Position in Remote Sensing of Forests (possible extension)!
SkogRover seeks a new team member to work with point-cloud and image data to map forest structure, naturalness, and cultural heritage.
Deadline to apply: November 14, 2025
https://t.co/ylfGsOZitJ
Can site index be determined using branch whorls detected by deep learning from very dense laser scanning data? 🌲
Check out our newly published paper to find out!
https://t.co/z0P7XuoqZ0
Great presentations from Kim Andre Anstensen Nielsen and Hans Ole Ørka at the Silvilaser conference in Quebec City!
A big thank you to the organizing committee for such a well-planned event, and to all participants for the insightful presentations and engaging discussions.
Congrats to Dr. Olha Nahorna for a well defended PhD thesis entitled "Assessing the importance of improved forest data for decision-making process" Thank you to the committee Göran Ståhl, Olalla Díaz-Yáñez, and Erik Næsset, and supervisors Kyle Eyvindson and Terje Gobakken.
Thank you to Sverre Holm (Glommen Mjøsen Skog), together with Maria Åsnes Moan and Ole Martin Bollandsås (SkogRover group, NMBU) for leading the discussion on Continuous Cover Forestry during the SmartForest Days!
Inspiring to see the passion for sustainable forestry practices.
A warm welcome to our new postdoc, Arvin Fakhri.
Arvin will be exploring potential direct links between biodiversity and remotely sensed data across different scales to produce a wall-to-wall biodiversity map of a demonstration area.
We are very happy to have him onboard!
We’re thrilled to welcome our new postdoc, Rachel Kuzmich, to the team!
Rachel will be using multi-sensor multi-temporal remote sensing data to examine climate-related forest change.
Excited to have her join us!
A warm welcome to our new PhD candidate, Kim Andre Anstensen Nielsen!
Kim will use remote sensing and AI to predict forest attributes, from biophysical metrics to complex structures and biodiversity indicators.
We are excited to have him on board!
Good turnout for our course on mixed-effect models for forest applications! Special thanks to professors Emma Holmström and Lauri Mehtätalo for their valuable contributions, and Dr Svetlana Saarela for leading the course.
🌳🌳 Effect of #Albedo#Footprint Size on Relationships between Measured Albedo and #Forest Attributes for Small #ForestPlots
✍️ Eirik Næsset Ramtvedt et al.
🔗 https://t.co/PQ69kabC57
Curious about ways to account for uncertainty in site index determination in forest planning? Have a look at our newly published paper.
https://t.co/C2tURvkZB3
I’m proud to share that I have successfully defended my PhD.
This is the second PhD completed within the @SmartForest_SFI project.
Thanks to my supervisors, the committee, my @SkogRover colleagues, and everyone who supported me!