Wall-to-Wall Tree Type Mapping from Countrywide Airborne Remote Sensing Surveys. - Lars T. Waser; Christian Ginzler; Nataliia Rehush (Remote. Sens., 2017)

Identifying Tree-Related Microhabitats in TLS Point Clouds Using Machine Learning. - Nataliia Rehush; Meinrad Abegg; Lars T. Waser; Urs-Beat Brändli (Remote. Sens., 2018)

Assessing Changes in Mountain Treeline Ecotones over 30 Years Using CNNs and Historical Aerial Images. - Zuyuan Wang; Christian Ginzler; Birgit Eben; Nataliia Rehush; Lars T. Waser (Remote. Sens., 2022)

Individual Tree-Crown Detection and Species Identification in Heterogeneous Forests Using Aerial RGB Imagery and Deep Learning. - Mirela Beloiu; Lucca Heinzmann; Nataliia Rehush; Arthur Gessler; Verena C. Griess (Remote. Sens., 2023)

Evaluating state-of-the-art 3D scanning methods for stem-level biodiversity inventories in forests. - Cyprien R. Fol; Daniel Kükenbrink; Nataliia Rehush; Arnadi Murtiyoso; Verena C. Griess (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset. - Stefano Puliti; Emily R. Lines; Jana Müllerová; Julian Frey; Zoe Schindler; Adrian Straker; Matt Allen 001; Lukas Winiwarter; Nataliia Rehush; Hristina Hristova; Brent Murray; Kim Calders; et al. (CoRR, 2024)

Viewing the Forest in 3-D: How Spherical Stereo Videos Enable Low-Cost Reconstruction of Forest Plots. - Hristina Hristova; Arnadi Murtiyoso; Daniel Kükenbrink; Mauro Marty; Meinrad Abegg; Christoph Fischer; Verena C. Griess; Nataliia Rehush (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)