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29 Oct 2025
Integrating Pre-Harvest UAV Scans to Enhance Harvester Tree Localization Accuracy
Evgeny Lopatin, Kari Väätäinen, Harri Kaartinen, Heikki Hyyti, Lauri Sikanen, Yrjö Nuutinen, and Mauricio Acuna
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Drought responses of a Norway spruce forest on drained peat soil: combining sap-flow sensors, eddy-covariance, soil and UAV data
Pavel Konstantinovich Alekseychik, Mikko Peltoniemi, Raisa Mäkipää, Ville Tuominen, Tuomas Laurila, Hamlyn Jones, Mitro Müller, Evgeny Lopatin, Helena Rautakoski, Timo Vesala, and Samuli Launiainen
EGUsphere, https://doi.org/10.5194/egusphere-2026-568,https://doi.org/10.5194/egusphere-2026-568, 2026
This preprint is open for discussion and under review for Biogeosciences (BG).
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Tree stem diameter estimation using inexpensive UAV photogrammetric data and Monte Carlo methods
Borja García-Pascual, Carlos Martín-Cortés, Xin Zhou, Evgeny Lopatin, Mauricio Acuna, and Kalle Kärhä
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-W2-2025, 49–56, https://doi.org/10.5194/isprs-annals-X-2-W2-2025-49-2025,https://doi.org/10.5194/isprs-annals-X-2-W2-2025-49-2025, 2025
Drought responses of a Norway spruce forest on drained peat soil: combining sap-flow sensors, eddy-covariance, soil and UAV data
Pavel Konstantinovich Alekseychik, Mikko Peltoniemi, Raisa Mäkipää, Ville Tuominen, Tuomas Laurila, Hamlyn Jones, Mitro Müller, Evgeny Lopatin, Helena Rautakoski, Timo Vesala, and Samuli Launiainen
EGUsphere, https://doi.org/10.5194/egusphere-2026-568,https://doi.org/10.5194/egusphere-2026-568, 2026
This preprint is open for discussion and under review for Biogeosciences (BG).
Short summary
A harmonized 2000–2024 dataset of daily river ice concentration and annual phenology for major Arctic rivers
Jiahui Qiu, Kari Luojus, Harri Kaartinen, Yubao Qiu, Jari Silander, Epari Ritesh Patro, Björn Klöve, and Ali Torabi Haghighi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-607,https://doi.org/10.5194/essd-2025-607, 2025
Preprint under review for ESSD
Short summary
Tree stem diameter estimation using inexpensive UAV photogrammetric data and Monte Carlo methods
Borja García-Pascual, Carlos Martín-Cortés, Xin Zhou, Evgeny Lopatin, Mauricio Acuna, and Kalle Kärhä
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-W2-2025, 49–56, https://doi.org/10.5194/isprs-annals-X-2-W2-2025-49-2025,https://doi.org/10.5194/isprs-annals-X-2-W2-2025-49-2025, 2025
Novel robotic mapping system for freshwater environments
Matias Mäki-Leppilampi, Heikki Hyyti, and Harri Kaartinen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-W2-2025, 125–132, https://doi.org/10.5194/isprs-annals-X-2-W2-2025-125-2025,https://doi.org/10.5194/isprs-annals-X-2-W2-2025-125-2025, 2025
Comparative Analysis of Ultra-Wideband and Mobile Laser Scanning Systems for Mapping Forest Trees under A Forest Canopy
Zuoya Liu, Harri Kaartinen, Teemu Hakala, Heikki Hyyti, Antero Kukko, Juha Hyyppa, and Ruizhi Chen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-G-2025, 551–557, https://doi.org/10.5194/isprs-annals-X-G-2025-551-2025,https://doi.org/10.5194/isprs-annals-X-G-2025-551-2025, 2025
A generic multi-lidar data batching strategy on the sensor driver level
Tamás Faitli, Heikki Hyyti, Juha Hyyppä, Antero Kukko, and Harri Kaartinen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W4-2025, 37–42, https://doi.org/10.5194/isprs-archives-XLVIII-1-W4-2025-37-2025,https://doi.org/10.5194/isprs-archives-XLVIII-1-W4-2025-37-2025, 2025
UTILISING SIMULATED TREE DATA TO TRAIN SUPERVISED CLASSIFIERS
P. Rönnholm, S. Wittke, M. Ingman, P. Putkiranta, H. Kauhanen, H. Kaartinen, and M. T. Vaaja
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 633–639, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-633-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-633-2022, 2022