Rasmus Astrup

The paper introduces MillionTrees, a global benchmark dataset for airborne tree detection, showing that current models struggle to generalize across diverse data and that training on MillionTrees improves performance.

This paper develops a deep learning method to reconstruct coniferous tree crown shapes from incomplete point clouds, improving accuracy in structural metrics.

The paper introduces deadtrees.earth, an open-access database of high-resolution aerial imagery to map global tree mortality using community-sourced data and machine learning.

The paper analyzes birch age distribution in Norway using tree ring data to show how site productivity, management practices, and environmental factors influence growth and age-class patterns.

This study evaluates how different harvesting strategies affect forest susceptibility to spruce bark beetle damage in Norway using high-resolution simulations.