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11 Jul 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
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Measurements on physical snow properties in Dronning Maud Land, Antarctica
Leena Leppänen, Antero Kukko, Aleksi Rimali, Aku Riihelä, and Priit Tisler
Geosci. Instrum. Method. Data Syst., 14, 407–422, https://doi.org/10.5194/gi-14-407-2025,https://doi.org/10.5194/gi-14-407-2025, 2025
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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
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Autonomous Drone Navigation in Forest Environments Using Deep Learning
Guglielmo Del Col, Väinö Karjalainen, Teemu Hakala, and Eija Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W11-2025, 87–93, https://doi.org/10.5194/isprs-archives-XLVIII-2-W11-2025-87-2025,https://doi.org/10.5194/isprs-archives-XLVIII-2-W11-2025-87-2025, 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
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-W2-2025, 117–123, https://doi.org/10.5194/isprs-annals-X-2-W2-2025-117-2025,https://doi.org/10.5194/isprs-annals-X-2-W2-2025-117-2025, 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
Advancing forest functional process understanding through hyper-spatiotemporal LiDAR observation streams
Yunsheng Wang, Mariana Campos, Hanna Sorokina, Rami Echriti, Taiga Korpelainen, Juha Hyyppä, and Eetu Puttonen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 1537–1541, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1537-2025,https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1537-2025, 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
Glacial ring forms on Axel Heiberg Island, Nunavut, Canada
Shannon M. Hibbard, Gordon R. Osinski, Etienne Godin, Chimira Andres, Antero Kukko, Shawn Chartrand, Anna Grau Galofre, A. Mark Jellinek, and Wendy Boucher
The Cryosphere, 19, 1695–1716, https://doi.org/10.5194/tc-19-1695-2025,https://doi.org/10.5194/tc-19-1695-2025, 2025
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Autonomous robotic drone system for mapping forest interiors
Väinö Karjalainen, Niko Koivumäki, Teemu Hakala, Anand George, Jesse Muhojoki, Eric Hyyppa, Juha Suomalainen, and Eija Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 167–172, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-167-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-167-2024, 2024
Overview and Benchmark on Multi-Modal Lidar Point Cloud Registration for Forest Applications
Mariana Batista Campos, Leticia Ferrari Castanheiro, Dipal Shah, Yunsheng Wang, Antero Kukko, and Eetu Puttonen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 43–50, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-43-2024,https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-43-2024, 2024
COMBINING YOLO V5 AND TRANSFER LEARNING FOR SMOKE-BASED WILDFIRE DETECTION IN BOREAL FORESTS
A.-M. Raita-Hakola, S. Rahkonen, J. Suomalainen, L. Markelin, R. Oliveira, T. Hakala, N. Koivumäki, E. Honkavaara, and I. Pölönen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1771–1778, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1771-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1771-2023, 2023
HYPERSPECTRAL UAS IMAGERY FOR GRASS SWARDS BIOMASS AND NITROGEN ESTIMATION
R. A. Oliveira, R. Näsi, P. Korhonen, A. Mustonen, O. Niemeläinen, N. Koivumäki, T. Hakala, J. Suomalainen, J. Kaivosoja, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1861–1866, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1861-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1861-2023, 2023
A DRONE SYSTEM FOR AUTONOMOUS MAPPING FLIGHTS INSIDE A FOREST – A FEASIBILITY STUDY AND FIRST RESULTS
V. Karjalainen, T. Hakala, A. George, N. Koivumäki, J. Suomalainen, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 597–603, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-597-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-597-2023, 2023
POINT CLOUD REGISTRATION USING LASER DATA FROM AN ORANGE ORCHARD
L. F. Castanheiro, A. M. G. Tommaselli, T. A. C. Garcia, M. B. Campos, and A. Kukko
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 71–77, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-71-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-71-2023, 2023
TILT CORRECTION OF ONBOARD DRONE IRRADIANCE MEASUREMENTS – EVALUATION OF HYPERSPECTRAL METHODS
J. Suomalainen, R. A. Oliveira, T. Hakala, N. Koivumäki, L. Markelin, R. Näsi, and E. Honkavaara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 67–72, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-67-2022,https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-67-2022, 2022
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
CONVOLUTIONAL NEURAL NETWORKS BASED GNSS SIGNAL CLASSIFICATION USING CORRELATOR-LEVEL MEASUREMENTS
C. Jiang, Y. Chen, B. Xu, J. Jia, H. Sun, Z. He, T. Wang, and J. Hyyppä
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-3-W1-2022, 61–66, https://doi.org/10.5194/isprs-archives-XLVI-3-W1-2022-61-2022,https://doi.org/10.5194/isprs-archives-XLVI-3-W1-2022-61-2022, 2022