Latest publications Annual Reports Annual Report 2020 Annual Report 2021 Annual Report 2022 Peer-Reviewed Publications Moan, M.Å., Noordermeer, L., White, J.C., Coops, N.C., Bollandsås, O.M. (2023). Detecting and excluding disturbed forest areas improves site index determination using bitemporal airborne laser scanner data. Forestry: An International Journal of Forest Research, 2023; cpad025, https://doi.org/10.1093/forestry/cpad025 Noordermeer, L., Næsset, E., Gobakken, T. (2022). Effects of harvester positioning errors on merchantable timber volume predicted and estimated from airborne laser scanner data in mature Norway spruce forests. Silva Fennica, 56(1). https://doi.org/10.14214/sf.10608 Puliti, S., McLean, J.P., Cattaneo, N., Fischer, C., Astrup, R. (2022). Tree height-growth trajectory estimation using uni-temporal UAV laser scanning data and deep learning. Forestry: An International Journal of Forest Research, https://doi.org/10.1093/forestry/cpac026 Puliti, S., Astrup, R. (2022). Automatic detection of snow breakage at single tree level using YOLOv5 applied to UAV imagery. International Journal of Applied Earth Observation and Geoinformation. 112, 102946. https://doi.org/10.1016/j.jag.2022.102946 Lingren, N., Nyström, K., Saarela, S., Olsson H., Ståhl, G. (2022). Importance of calibration for improving the efficiency of data assimilation for predicting forest characteristics. Remote Sensing, 14(18), 4627. https://doi.org/10.3390/rs14184627 Noordermeer, L., Sørngård, E., Astrup, R., Næsset, E., Gobakken, T. (2021). Coupling a differential global navigation satellite system to a cut-to-length harvester operating system enables precise positioning of harvested trees. International Journal of Forest Engineering, 32(2), 119-127. https://doi.org/10.1080/14942119.2021.1899686 Noordermeer, L., Næsset, E., & Gobakken, T. (2021). Estimating Timber Volume using Harvester Data and Airborne Laser Scanner Data from Multiple Acquisitions. Proceedings of the SilviLaser Conference 2021 (pp. 31-34). https://doi.org/10.34726/wim.1906 Master Thesis Botnevik, G. (2022) Assessing the timing of final felling based on saw timber price matrices of Norway spruce (Picea abies) – A case study for Fritzøe Skoger AS. NMBU. Råheim, M. (2021) Use of harvester data as referensedata when mapping totalvolume and sawlogvolume. NMBU.