5 papers
3Dtrees.earth: community research infrastructure for tree and forest analysis using close-range LiDAR data
Janusch Vajna-Jehle, Kilian Gerberding, Daniel Lusk +275
From individual trees to forest stands, three-dimensional structure shapes carbon, water, and energy flows, habitat conditions, and resource availability. Yet tree and forest struc…
Evaluating LiDAR Data Sources, Predictor Resolution, and Spatial Random Effects in Bayesian Change-of-Support Models for Forest Inventory
Arthur Spitta, Andrew O. Finley, Christoph Gollob +4
Forest managers need timely stand-level information to support operational planning, particularly in mixed-species, structurally heterogeneous forests facing climate-related distur…
treeX: Unsupervised Tree Instance Segmentation in Dense Forest Point Clouds
Josafat-Mattias Burmeister, Andreas Tockner, Stefan Reder +4
Close-range laser scanning provides detailed 3D captures of forest stands but requires efficient software for processing 3D point cloud data and extracting individual trees. Althou…
Small area estimation of growing stock timber volume, basal area, mean stem diameter, and stem density for mountain forests in Austria
Arne Nothdurft, Valentin Sarkleti, Tobias Ofner-Graff +8
Regression models were evaluated to estimate stand-level growing stock volume (GSV), quadratic mean diameter (QMD), basal area (BA), and stem density (N) in the Brixen im Thale for…
Spatial prediction of diameter distributions for the alpine protection forests in Ebensee, Austria, using ALS/PLS and spatial distributional regression models
Arne Nothdurft, Andreas Tockner, Sarah Witzmann +5
A spatial distributional regression model is presented to predict the forest structural diversity in terms of the distributions of the stem diameter at breast height (DBH) in the p…