Topi Tanhuanpää
Topi Tanhuanpää
Department of Forest Sciences, University of Helsinki
Vahvistettu sähköpostiosoite verkkotunnuksessa helsinki.fi
Nimike
Viittaukset
Viittaukset
Vuosi
Using UAV-based photogrammetry and hyperspectral imaging for mapping bark beetle damage at tree-level
R Näsi, E Honkavaara, P Lyytikäinen-Saarenmaa, M Blomqvist, P Litkey, ...
Remote Sensing 7 (11), 15467-15493, 2015
2432015
Tree mapping using airborne, terrestrial and mobile laser scanning–A case study in a heterogeneous urban forest
M Holopainen, V Kankare, M Vastaranta, X Liang, Y Lin, M Vaaja, X Yu, ...
Urban forestry & urban greening 12 (4), 546-553, 2013
1032013
Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees
N Saarinen, V Kankare, M Vastaranta, V Luoma, J Pyörälä, ...
ISPRS Journal of Photogrammetry and Remote Sensing 123, 140-158, 2017
762017
Mapping of urban roadside trees–A case study in the tree register update process in Helsinki City
T Tanhuanpää, M Vastaranta, V Kankare, M Holopainen, J Hyyppä, ...
Urban forestry & urban greening 13 (3), 562-570, 2014
442014
Accuracy in estimation of timber assortments and stem distribution–A comparison of airborne and terrestrial laser scanning techniques
V Kankare, J Vauhkonen, T Tanhuanpää, M Holopainen, M Vastaranta, ...
ISPRS Journal of Photogrammetry and Remote Sensing 97, 89-97, 2014
392014
Ground surface microtopography and vegetation patterns in a tropical peat swamp forest
M Lampela, J Jauhiainen, I Kämäri, M Koskinen, T Tanhuanpää, ...
Catena 139, 127-136, 2016
342016
Urban-tree-attribute update using multisource single-tree inventory
N Saarinen, M Vastaranta, V Kankare, T Tanhuanpää, M Holopainen, ...
Forests 5 (5), 1032-1052, 2014
332014
Estimation of the timber quality of Scots pine with terrestrial laser scanning
V Kankare, M Joensuu, J Vauhkonen, M Holopainen, T Tanhuanpää, ...
Forests 5 (8), 1879-1895, 2014
312014
Evaluating the performance of high-altitude aerial image-based digital surface models in detecting individual tree crowns in mature boreal forests
T Tanhuanpää, N Saarinen, V Kankare, K Nurminen, M Vastaranta, ...
Forests 7 (7), 143, 2016
202016
Examining changes in stem taper and volume growth with two-date 3D point clouds
V Luoma, N Saarinen, V Kankare, T Tanhuanpää, H Kaartinen, A Kukko, ...
Forests 10 (5), 382, 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
172019
Monitoring downed coarse woody debris through appearance of canopy gaps in urban boreal forests with bitemporal ALS data
T Tanhuanpää, V Kankare, M Vastaranta, N Saarinen, M Holopainen
Urban Forestry & Urban Greening 14 (4), 835-843, 2015
152015
Assessing above-ground biomass of open-grown urban trees: A comparison between existing models and a volume-based approach
T Tanhuanpää, V Kankare, H Setälä, V Yli-Pelkonen, M Vastaranta, ...
Urban forestry & urban greening 21, 239-246, 2017
142017
A keystone species, European aspen (Populus tremula L.), in boreal forests: Ecological role, knowledge needs and mapping using remote sensing
S Kivinen, E Koivisto, S Keski-Saari, L Poikolainen, T Tanhuanpää, ...
Forest Ecology and Management 462, 118008, 2020
92020
Study of realistic urban boundary layer turbulence with high-resolution large-eddy simulation
M Auvinen, S Boi, A Hellsten, T Tanhuanpää, L Järvi
Atmosphere 11 (2), 201, 2020
82020
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
Using UAV-based photogrammetry and hyperspectral imaging for mapping bark beetle damage at tree-level. Remote Sens 7: 15467–15493
R Näsi, E Honkavaara, P Lyytikäinen-Saarenmaa, M Blomqvist, P Litkey, ...
72015
Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks
J Mäyrä, S Keski-Saari, S Kivinen, T Tanhuanpää, P Hurskainen, ...
Remote Sensing of Environment 256, 112322, 2021
42021
Detecting European Aspen (Populus tremula L.) in Boreal Forests Using Airborne Hyperspectral and Airborne Laser Scanning Data
A Viinikka, P Hurskainen, S Keski-Saari, S Kivinen, T Tanhuanpää, ...
Remote Sensing 12 (16), 2610, 2020
42020
Effect of canopy structure on the performance of tree mapping methods in urban parks
T Tanhuanpää, X Yu, V Luoma, N Saarinen, J Raisio, J Hyyppä, ...
Urban Forestry & Urban Greening 44, 126441, 2019
42019
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20