| 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 | 15 | 2019 |
| 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 | 13 | 2019 |
| 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 | 8 | 2018 |
| 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 | 7 | 2019 |
| 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 | 7 | 2018 |
| 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 | 5 | 2020 |
| 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 | 4 | 2020 |
| 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 | 4 | 2020 |
| 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 | 3 | 2020 |
| Monitoring forests in space and time using close-range sensing M Vastaranta, N Saarinen, T Yrttimaa, V Kankare, S Junttila Preprints, 2020 | 3 | 2020 |
| 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 | 1 | 2020 |
| 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 |
| Point cloud data from terrestrial laser scanning for stem volume modelling of Scots pine trees N Saarinen, V Kankare, J Pyörälä, T Yrttimaa, X Liang, MA Wulder, ... | | 2020 |
Ninni SaarinenPhD, School of Forest Sciences, University of Eastern FinlandVerified email at uef.fi
