Seuraa
Ninni Saarinen
Ninni Saarinen
PhD, School of Forest Sciences, University of Eastern Finland
Vahvistettu sähköpostiosoite verkkotunnuksessa uef.fi
Nimike
Viittaukset
Viittaukset
Vuosi
International benchmarking of terrestrial laser scanning approaches for forest inventories
X Liang, J Hyyppä, H Kaartinen, M Lehtomäki, J Pyörälä, N Pfeifer, ...
ISPRS journal of photogrammetry and remote sensing 144, 137-179, 2018
3292018
Terrestrial laser scanning in forest ecology: Expanding the horizon
K Calders, J Adams, J Armston, H Bartholomeus, S Bauwens, LP Bentley, ...
Remote Sensing of Environment 251, 112102, 2020
2772020
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
1432017
Stakeholder perspectives about proper participation for Regional Forest Programmes in Finland
A Kangas, N Saarinen, H Saarikoski, LA Leskinen, T Hujala, J Tikkanen
Forest Policy and Economics 12 (3), 213-222, 2010
1372010
Assessing precision in conventional field measurements of individual tree attributes
V Luoma, N Saarinen, MA Wulder, JC White, M Vastaranta, M Holopainen, ...
Forests 8 (2), 38, 2017
1112017
A model development and application guide for generating an enhanced forest inventory using airborne laser scanning data and an area-based approach
J White, P Tompalski, M Vastaranta, MA Wulder, N Saarinen, C Stepper, ...
Natural Resources Canada= Ressources naturelles Canada 2 (26770.96964), 2017
992017
Assessing biodiversity in boreal forests with UAV-based photogrammetric point clouds and hyperspectral imaging
N Saarinen, M Vastaranta, R Näsi, T Rosnell, T Hakala, E Honkavaara, ...
Remote Sensing 10 (2), 338, 2018
892018
Confirmation of post-harvest spectral recovery from Landsat time series using measures of forest cover and height derived from airborne laser scanning data
JC White, N Saarinen, V Kankare, MA Wulder, T Hermosilla, NC Coops, ...
Remote sensing of environment 216, 262-275, 2018
842018
Evaluation of a smartphone app for forest sample plot measurements
M Vastaranta, E González Latorre, V Luoma, N Saarinen, M Holopainen, ...
Forests 6 (4), 1179-1194, 2015
512015
Quantitative Assessment of Scots Pine (Pinus Sylvestris L.) Whorl Structure in a Forest Environment Using Terrestrial Laser Scanning
J Pyörälä, X Liang, M Vastaranta, N Saarinen, V Kankare, Y Wang, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
482018
Variability of wood properties using airborne and terrestrial laser scanning
J Pyörälä, N Saarinen, V Kankare, NC Coops, X Liang, Y Wang, ...
Remote Sensing of Environment 235, 111474, 2019
472019
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
462014
Multisource single-tree inventory in the prediction of tree quality variables and logging recoveries
M Vastaranta, N Saarinen, V Kankare, M Holopainen, H Kaartinen, ...
Remote Sensing 6 (4), 3475-3491, 2014
462014
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
442020
Characterizing seedling stands using leaf-off and leaf-on photogrammetric point clouds and hyperspectral imagery acquired from unmanned aerial vehicle
M Imangholiloo, N Saarinen, L Markelin, T Rosnell, R Näsi, T Hakala, ...
Forests 10 (5), 415, 2019
432019
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
412019
Area-based approach for mapping and monitoring riverine vegetation using mobile laser scanning
N Saarinen, M Vastaranta, M Vaaja, E Lotsari, A Jaakkola, A Kukko, ...
Remote Sensing 5 (10), 5285-5303, 2013
372013
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
352019
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
342019
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
332016
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20