Turning satellite imagery into tree-level forest insights at scale
Within the SingleTree project, KOKO Forest has been developing remote sensing methods to monitor forests and detect individual dead trees across different Living Lab areas. The company’s work focuses on […]
Newsletter June 2026
SingleTree Newsletter #4 is now available on LinkedIn
We are pleased to announce the publication of the fourth edition of the SingleTree Newsletter, bringing together the latest updates, research highlights, and achievements from across the project and its […]
Advancing Autonomous Drone Technologies for Forestry
FOR-Age: AI and 3D LiDAR open a new frontier for non-destructive tree age estimation
Estimating the age of a tree has long required invasive and labor-intensive methods such as dendrochronological coring. Despite decades of forestry research, determining tree age accurately and at scale remains […]
Paper: Towards precision forestry: A systematic review of optimisation methods for individual-tree decisions in forest management
Niál Perry, Janine Schweier, Leo Gallus Bont, Sunni Kanta Prasad Kushwaha, Heli Peltola, Kyle Eyvindson, Rasmus Astrup, Melissa Chapman, Clemens Blattert,Towards precision forestry: A systematic review of optimisation methods for […]
Paper: FOR-age: Benchmarking individual tree age estimation using 3D deep learning on dense laser scanning data
Stefano Puliti, Binbin Xiang, Maciej Wielgosz, Eivind Handegard, Nicolas Cattaneo, Marta Vergarechea, Terje Gobakken, Juha Hyyppä, Erik Næsset, Mikko Vastaranta, Tuomas Yrttimaa, Rasmus Astrup,FOR-age: Benchmarking individual tree age estimation using […]