AI applications in forest monitoring need remote sensing benchmark datasets. - Emily R. Lines; Matt Allen 001; Carlos Cabo; Kim Calders; Amandine Debus; Stuart W. D. Grieve; Milto Miltiadou; Adam Noach; Harry J. F. Owen; Stefano Puliti (IEEE Big Data, 2022)

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)

PointsToWood: A deep learning framework for complete canopy leaf-wood segmentation of TLS data across diverse European forests. - Harry J. F. Owen; Matthew J. Allen 001; Stuart W. D. Grieve; Phill Wilkes; Emily R. Lines (CoRR, 2025)

Manual Labelling Artificially Inflates Deep Learning-Based Segmentation Performance on RGB Images of Closed Canopy: Validation Using TLS. - Matthew J. Allen 001; Harry J. F. Owen; Stuart W. D. Grieve; Emily R. Lines (CoRR, 2025)