Lasers instead of inclinometers alone: rethinking pulling tests
First post in a series on a laser-based pulling-test method. Peer-reviewed in Forests 2026, 17(5), 528 — Open Access.
Articles tagged “Tree Assessment”
Enhancing Tree Species Identification in Forestry and Urban Forests through Light Detection and Ranging Point Cloud Structural Features and Machine Learning
We demonstrate a novel computational efficient method to classify tree species in LiDAR point clouds.
Experimental Test of Non-Destructive Methods to Assess the Anchorage of Trees
Our results can provide a wider scientific basis for the pulling test method. They help to validate risk assessments and studies based on static load tests and increase their credibility and acceptance, thereby contributing significantly to the efficacy of research experiments as well as to the prospects of conserving valuable trees.
Using Artificial Intelligence to Assist Tree Risk Assessment
The use of AI in tree risk assessment not only supports the user but can also be used to disseminate knowledge and promote the standardization of decision-making in tree assessment.
Comparison of methods to measure sensor positions for tomography
Precise sensor positions in tomography can be measured quickly.
New book on urban forestry
The new book “Routledge Handbook of Urban Forestry” will be publishd in April. Editors are Francesco Ferrini, Cecil C. Konijnendijk van den Bosch and Alessio Fini, the chapter “Tools for Tree Risk Assessment”) was written by Prof. Steffen Rust and Philip van Wassenaer.
More can be found at Routledge.
Does Cladoptosis indicate drought stress or ageing in oak?
Twig abcission (cladoptosis) in oak is not directly related to drought stress.
New book about Urban tree management
The new book “Urban Tree Management” will be publishd end of January. The editor is Prof. Andreas Roloff, two chapters (“Hazard tree management” and “Tree maintenance”) have been written by Prof. Steffen Rust.
More can be found at Wiley.