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