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)

Tree Genera Classifications in Spain Using Time-Series Sentinel-2 Data Extracted from Plottosat. - Milto Miltiadou; Emily R. Lines; Stuart W. D. Grieve; Paloma Ruiz-Benito; Julen Astigarraga; Verónica Cruz (IGARSS, 2024)

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)

Low-Cost Tree Crown Dieback Estimation Using Deep Learning-Based Segmentation. - Matthew J. Allen 001; D. Moreno-Fernández; Paloma Ruiz-Benito; Stuart W. D. Grieve; Emily R. Lines (CoRR, 2024)

PlotToSat: A tool for generating time-series signatures from Sentinel-1 and Sentinel-2 at field-based plots for machine learning applications. - Milto Miltiadou; Stuart W. D. Grieve; Paloma Ruiz-Benito; Julen Astigarraga; Verónica Cruz-Alonso; Julián Tijerín-Triviño; Emily R. Lines (Environ. Model. Softw., 2025)

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)