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)

Early Detection of Bark Beetle Green Attack Using TerraSAR-X and RapidEye Data. - Sonia M. Ortiz; Johannes Breidenbach; Gerald Kändler (Remote. Sens., 2013)

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)

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)

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)

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)

Lidar-based Norwegian tree species detection using deep learning. - Martijn Vermeer; Jacob Alexander Hay; David Völgyes; Zsófia Koma; Johannes Breidenbach; Daniele Fantin (NLDL, 2024)