Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests. - Eric Hyyppä; Xiaowei Yu; Harri Kaartinen; Teemu Hakala; Antero Kukko; Mikko Vastaranta; Juha Hyyppä (Remote. Sens., 2020)

Feasibility of Mobile Laser Scanning towards Operational Accurate Road Rut Depth Measurements. - Aimad El Issaoui; Ziyi Feng; Matti Lehtomäki; Eric Hyyppä; Hannu Hyyppä; Harri Kaartinen; Antero Kukko; Juha Hyyppä (Sensors, 2021)

Can the Perception Data of Autonomous Vehicles Be Used to Replace Mobile Mapping Surveys? - A Case Study Surveying Roadside City Trees. - Eric Hyyppä; Petri Manninen; Jyri Maanpää; Josef Taher; Paula Litkey; Heikki Hyyti; Antero Kukko; Harri Kaartinen; Eero Ahokas; Xiaowei Yu; Jesse Muhojoki; Matti Lehtomäki; et al. (Remote. Sens., 2023)

Benchmarking Under- and Above-Canopy Laser Scanning Solutions for Deriving Stem Curve and Volume in Easy and Difficult Boreal Forest Conditions. - Jesse Muhojoki; Daniella Tavi; Eric Hyyppä; Matti Lehtomäki; Tamás Faitli; Harri Kaartinen; Antero Kukko; Teemu Hakala; Juha Hyyppä (Remote. Sens., 2024)

Integration of a Mobile Laser Scanning System with a Forest Harvester for Accurate Localization and Tree Stem Measurements. - Tamás Faitli; Eric Hyyppä; Heikki Hyyti; Teemu Hakala; Harri Kaartinen; Antero Kukko; Jesse Muhojoki; Juha Hyyppä (Remote. Sens., 2024)

Towards autonomous photogrammetric forest inventory using a lightweight under-canopy robotic drone. - Väinö Karjalainen; Niko Koivumäki; Teemu Hakala; Jesse Muhojoki; Eric Hyyppä; Anand George; Juha Suomalainen; Eija Honkavaara (CoRR, 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)