Tuomas Yrttimaa
Tuomas Yrttimaa
Early-stage researcher, School of Forest Sciences, University of Eastern Finland
Vahvistettu sähköpostiosoite verkkotunnuksessa uef.fi
Nimike
Viittaukset
Viittaukset
Vuosi
Investigating the feasibility of multi-scan terrestrial laser scanning to characterize tree communities in southern boreal forests
T Yrttimaa, N Saarinen, V Kankare, X Liang, J Hyyppä, M Holopainen, ...
Remote Sensing 11 (12), 1423, 2019
172019
Detecting and characterizing downed dead wood using terrestrial laser scanning
T Yrttimaa, N Saarinen, V Luoma, T Tanhuanpää, V Kankare, X Liang, ...
ISPRS journal of photogrammetry and remote sensing 151, 76-90, 2019
152019
Aboveground forest biomass derived using multiple dates of WorldView-2 stereo-imagery: quantifying the improvement in estimation accuracy
M Vastaranta, X Yu, V Luoma, M Karjalainen, N Saarinen, MA Wulder, ...
International Journal of Remote Sensing 39 (23), 8766-8783, 2018
102018
Assessing the effects of sample size on parametrizing a taper curve equation and the resultant stem-volume estimates
N Saarinen, V Kankare, J Pyörälä, T Yrttimaa, X Liang, MA Wulder, ...
Forests 10 (10), 848, 2019
82019
Airborne laser scanning outperforms the alternative 3D techniques in capturing variation in tree height and forest density in southern boreal forests
M Vastaranta
Baltic Forestry 24 (2), 268-277, 2018
72018
Performance of terrestrial laser scanning to characterize managed Scots pine (Pinus sylvestris L.) stands is dependent on forest structural variation
T Yrttimaa, N Saarinen, V Kankare, J Hynynen, S Huuskonen, ...
ISPRS Journal of Photogrammetry and Remote Sensing 168, 277-287, 2020
52020
Assessing the effects of thinning on stem growth allocation of individual Scots pine trees
N Saarinen, V Kankare, T Yrttimaa, N Viljanen, E Honkavaara, ...
Forest Ecology and Management 474, 118344, 2020
42020
Multisensorial close-range sensing generates benefits for characterization of managed Scots pine (Pinus sylvestris L.) stands
T Yrttimaa, N Saarinen, V Kankare, N Viljanen, J Hynynen, S Huuskonen, ...
ISPRS International Journal of Geo-Information 9 (5), 309, 2020
42020
Assessing the effects of stand dynamics on stem growth allocation of individual Scots pine trees
N Saarinen, V Kankare, T Yrttimaa, N Viljanen, E Honkavaara, ...
BioRxiv, 2020
42020
Monitoring forests in space and time using close-range sensing
M Vastaranta, N Saarinen, T Yrttimaa, V Kankare, S Junttila
Preprints, 2020
32020
Terrestrial Laser Scanning and Ground Truth Data for Characterizing Downed Dead Wood
T Yrttimaa, N Saarinen, V Luoma, T Tanhuanpää, V Kankare, X Liang, ...
OSF Preprints, 2020
12020
Data for investigating structural complexity of individual Scots pine trees
N Saarinen, K Calders, V Kankare, T Yrttimaa, S Junttila, V Luoma, ...
2021
Understanding the Relationship Between Crown Shape and Size and Structural Complexity of Individual Trees
N Saarinen, K Calders, V Kankare, T Yrttimaa, S Junttila, S Huuskonen, ...
Earth and Space Science Open Archive ESSOAr, 2020
2020
Understanding 3D structural complexity of individual Scots pine trees with different management history
N Saarinen, K Calders, V Kankare, T Yrttimaa, S Junttila, S Huuskonen, ...
Authorea Preprints, 2020
2020
Concepts of space, time and scale
M Vastaranta, N Saarinen, T Yrttimaa, T Tokola
EarthArXiv, 2020
2020
Individual tree detection and characterization using 3D remote sensing
M Vastaranta, N Saarinen, T Yrttimaa, V Kankare
EarthArXiv, 2020
2020
Fundamental laws and principles in geoinformation science
M Vastaranta, N Saarinen, T Yrttimaa, T Tokola
EarthArXiv, 2020
2020
Introduction to geoinformation science
M Vastaranta, N Saarinen, T Yrttimaa, T Tokola
EarthArXiv, 2020
2020
POSSIBILITIES OF CHANGE DETECTION OF TREE AND FOREST ATTRIBUTES BY COMBINING TERRESTRIAL LASER SCANNING BASED 3D POINT CLOUDS WITH UAV DATA
V Luoma, T Yrttimaa, V Kankare, N Saarinen, H Kaartinen, A Kukko, ...
EarthArXiv. April 1, 2020
2020
Point cloud data from terrestrial laser scanning for volume modelling of Scots pine trees
N Saarinen, V Kankare, J Pyörälä, T Yrttimaa, X Liang, MA Wulder, ...
OSF Preprints, 2020
2020
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Artikkelit 1–20