Johannes Breidenbach

According to our database, Johannes Breidenbach authored at least 8 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Enhancing Tree Species Classification: Insights from YOLOv8 and Explainable AI Applied to TLS Point Cloud Projections.

Adrian Straker, Paul Magdon, Marco Zullich, Maximilian Freudenberg, Christoph Kleinn, Johannes Breidenbach, Stefano Puliti, Nils Nölke

CoRR, December, 2025

2024

Lidar-based Norwegian tree species detection using deep learning.

Martijn Vermeer, Jacob Alexander Hay, David Völgyes, Zsófia Koma, Johannes Breidenbach, Daniele Fantin

Proceedings of the Northern Lights Deep Learning Conference, 2024

2021

Prediction of butt rot volume in Norway spruce forest stands using harvester, remotely sensed and environmental data.

Janne Räty, Johannes Breidenbach, Marius Hauglin, Rasmus Astrup

Int. J. Appl. Earth Obs. Geoinformation, 2021

2020

Estimation of Forest Growing Stock Volume with UAV Laser Scanning Data: Can It Be Done without Field Data?

Stefano Puliti, Johannes Breidenbach, Rasmus Astrup

Remote. Sens., 2020

2019

Assessing Harvested Sites in a Forested Boreal Mountain Catchment through Global Forest Watch.

Fernando Rossi, Johannes Breidenbach, Stefano Puliti, Rasmus Astrup, Bruce Talbot

Remote. Sens., 2019

2018

Interferometric SAR DEMs for Forest Change in Uganda 2000-2012.

Svein Solberg, Johannes May, Wiley Bogren, Johannes Breidenbach, Torfinn Torp, Belachew Gizachew

Remote. Sens., 2018

2013

Early Detection of Bark Beetle Green Attack Using TerraSAR-X and RapidEye Data.

Sonia M. Ortiz, Johannes Breidenbach, Gerald Kändler

Remote. Sens., 2013

2012

The Influence of DEM Quality on Mapping Accuracy of Coniferous- and Deciduous-Dominated Forest Using TerraSAR-X Images.

Sonia M. Ortiz, Johannes Breidenbach, Ralf Knuth, Gerald Kändler

Remote. Sens., 2012