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Lassi Ruoppa
Observed name:
Ruoppa, Lassi
Institutions:
Finnish Geospatial Research Institute,
Maanmittauslaitos,
Aalto University
Observed institutions:
University of Helsinki,
University of Eastern Finland,
Finnish Geospatial Research Institute,
Maanmittauslaitos,
Aalto University
ORCID:
0009-0002-4267-572X
Observed ORCID:
0009-0002-4267-572X
OpenAlex ID:
A5091997884
Individual tree segmentation and species classification using high-density close-range multispectral laser scanning data
2023
·
Aada Hakula
, Lassi Ruoppa
, et al.
·
ISPRS Open Journal of Photogrammetry and Remote Sensing
·
60
Unsupervised deep learning for semantic segmentation of multispectral LiDAR forest point clouds
2025
·
Lassi Ruoppa
, Oona Oinonen
, et al.
·
ISPRS Journal of Photogrammetry and Remote Sensing
·
32
LiPheStream - A 18-month high spatiotemporal resolution point cloud time series of Boreal trees from Finland
2024
·
Samantha Wittke
, Mariana Campos
, et al.
·
Scientific Data
·
16
PDF
Benchmarking individual tree segmentation using multispectral airborne laser scanning data: The FGI-EMIT dataset
2026
·
Lassi Ruoppa
, Tarmo Hietala
, et al.
·
ISPRS Journal of Photogrammetry and Remote Sensing
·
9
PDF
3D Forest Semantic Segmentation Using Multispectral LiDAR and 3D Deep Learning
2025
·
Narges Takhtkeshha
, Lauris Bocaux
, et al.
·
PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science
·
5
PDF
Unsupervised semantic segmentation of urban high-density multispectral point clouds
2024
·
Oinonen, Oona
, Ruoppa, Lassi
, et al.
·
arXiv (Cornell University)
·
5
PDF
A Framework for Individual Tree Growth Reconstruction Using Multi-Platform Laser Scanning
2026
·
Tavi, Daniella
, Soininen, Valtteri
, et al.
·
arXiv (Cornell University)
PDF
Erratum to “Individual tree segmentation and species classification using high-density close-range multispectral laser scanning data” [ISPRS Open J. Photogram. Rem. Sens. 9 (2023) 100039]
2024
·
Aada Hakula
, Lassi Ruoppa
, et al.
·
ISPRS Open Journal of Photogrammetry and Remote Sensing
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Works count:
10
Citation count:
128
H-index:
5
I10-index:
3
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