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Latest publications

Annual Report 2020

Annual Report 2021

    Publications 2022

    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

    Publications 2021

    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