Tuomas Yrttimaa

Orcid: 0000-0003-2648-523X

According to our database1, Tuomas Yrttimaa authored at least 11 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Uncovering growth dynamics in Scots pine through the detection of the onset of height growth using near-daily terrestrial laser scanning time series.
Ecol. Informatics, 2026

2025
Employing Gamified Crowdsourced Close-Range Sensing in the Pursuit of a Digital Twin of the Earth.
Int. J. Hum. Comput. Interact., April, 2025

2024
Space Probe Retrieval: A LiDAR-Based Augmented Reality Game for Forest Data Collection.
Proceedings of the Companion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play, 2024

2023
Evaluating Factors Impacting Fallen Tree Detection from Airborne Laser Scanning Point Clouds.
Remote. Sens., January, 2023

2022
Terrestrial Laser Scanning in Assessing the Effect of Different Thinning Treatments on the Competition of Scots Pine (Pinus sylvestris L.) Forests.
Remote. Sens., 2022

2021
Point clouds from terrestrial laser scanning from crowns of individual Scots pine trees.
Dataset, December, 2021

2020
Detailed point cloud data on stem size and shape of Scots pine trees.
Dataset, March, 2020

Point cloud data from terrestrial laser scanning for stem volume modelling of Scots pine trees.
Dataset, March, 2020

Structural Changes in Boreal Forests Can Be Quantified Using Terrestrial Laser Scanning.
Remote. Sens., 2020

Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands.
ISPRS Int. J. Geo Inf., 2020

2019
Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests.
Remote. Sens., 2019


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