Inventory of Small Forest Areas Using an Unmanned Aerial System. - Stefano Puliti; Hans Ole Ørka; Terje Gobakken; Erik Næsset (Remote. Sens., 2015)

Modelling above Ground Biomass in Tanzanian Miombo Woodlands Using TanDEM-X WorldDEM and Field Data. - Stefano Puliti; Svein Solberg; Erik Næsset; Terje Gobakken; Eliakimu Zahabu; Ernest Mauya; Rogers Ernest Malimbwi (Remote. Sens., 2017)

Use of UAV Photogrammetric Data for Estimation of Biophysical Properties in Forest Stands Under Regeneration. - Stefano Puliti; Svein Solberg; Aksel Granhus (Remote. Sens., 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)

Detection and Classification of Root and Butt-Rot (RBR) in Stumps of Norway Spruce Using RGB Images and Machine Learning. - Ahmad Ostovar; Bruce Talbot; Stefano Puliti; Rasmus Astrup; Ola Ringdahl (Sensors, 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)

A New Drone Laser Scanning Benchmark Dataset for Characterization of Single-Tree and Forest Biophysical Properties. - Stefano Puliti; Grant D. Pearse; Michael S. Watt; Edward T. A. Mitchard; Iain McNicol; Magnus Bremer; Martin Rutzinger; Peter Surový; Luke Wallace; Markus Hollaus; Rasmus Astrup (IGARSS, 2021)

Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Bayesian Deep Learning. - Alexander Becker; Stefania Russo; Stefano Puliti; Nico Lang; Konrad Schindler; Jan Dirk Wegner (CoRR, 2021)

Multitemporal Sentinel-1 and Sentinel-2 Images for Characterization and Discrimination of Young Forest Stands Under Regeneration in Norway. - Vahid Akbari 001; Svein Solberg; Stefano Puliti (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

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)

Large Scale Forest Parameter Estimation Through a Deep Learning-Based Fusion of Sentinel-2 and Tandem-X Data. - Daniel Carcereri; Paola Rizzoli; Dino Ienco; José-Luis Bueso-Bello; Carolina González; Stefano Puliti; Lorenzo Bruzzone (IGARSS, 2022)

Automatic detection of snow breakage at single tree level using YOLOv5 applied to UAV imagery. - Stefano Puliti; Rasmus Astrup (Int. J. Appl. Earth Obs. Geoinformation, 2022)

UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce. - Benjamin Allen; Michele Dalponte; Hans Ole Ørka; Erik Næsset; Stefano Puliti; Rasmus Astrup; Terje Gobakken (Remote. Sens., 2022)

Towards accurate instance segmentation in large-scale LiDAR point clouds. - Binbin Xiang; Torben Peters; Theodora Kontogianni; Frawa Vetterli; Stefano Puliti; Rasmus Astrup; Konrad Schindler (CoRR, 2023)

FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees. - Stefano Puliti; Grant D. Pearse; Peter Surový; Luke Wallace; Markus Hollaus; Maciej Wielgosz; Rasmus Astrup (CoRR, 2023)

Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning. - Binbin Xiang; Maciej Wielgosz; Theodora Kontogianni; Torben Peters; Stefano Puliti; Rasmus Astrup; Konrad Schindler (CoRR, 2023)

Point2Tree(P2T) - Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest. - Maciej Wielgosz; Stefano Puliti; Phil Wilkes; Rasmus Astrup (Remote. Sens., 2023)

SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data. - Maciej Wielgosz; Stefano Puliti; Binbin Xiang; Konrad Schindler; Rasmus Astrup (CoRR, 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)

BranchPoseNet: Characterizing tree branching with a deep learning-based pose estimation approach. - Stefano Puliti; Carolin Fischer; Rasmus Astrup (CoRR, 2024)

RoadSens: An integrated near-field sensor solution for 3D forest road monitoring. - Mostafa Hoseini; Helle Ross Gobakken; Stephan Hoffmann; Csongor Horvath; Johannes Rahlf; Jan Bjerketvedt; Stefano Puliti; Rasmus Astrup (Comput. Electron. Agric., 2025)

Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms. - Josef Taher; Eric Hyyppä; Matti Hyyppä; Klaara Salolahti; Xiaowei Yu; Leena Matikainen; Antero Kukko; Matti Lehtomäki; Harri Kaartinen; Sopitta Thurachen; Paula Litkey; Ville Luoma; et al. (CoRR, 2025)

ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds. - Binbin Xiang; Maciej Wielgosz; Stefano Puliti; Kamil Král; Martin Krucek; Azim Missarov; Rasmus Astrup (CoRR, 2025)