Ninni Saarinen
Ninni Saarinen
PhD, Department of Forest Sciences, University of Helsinki
Verified email at
TitleCited byYear
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
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
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
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
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
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
Assessing precision in conventional field measurements of individual tree attributes
V Luoma, N Saarinen, M Wulder, J White, M Vastaranta, M Holopainen, ...
Forests 8 (2), 38, 2017
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, 2017
Evaluation of a smartphone app for forest sample plot measurements
M Vastaranta, E Latorre, V Luoma, N Saarinen, M Holopainen, J Hyyppä
Forests 6 (4), 1179-1194, 2015
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
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
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
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
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
Assessing branching structure for biomass and wood quality estimation using terrestrial laser scanning point clouds
J Pyörälä, X Liang, N Saarinen, V Kankare, Y Wang, M Holopainen, ...
Canadian Journal of Remote Sensing 44 (5), 462-475, 2018
Landsat archive holdings for Finland: Opportunities for forest monitoring
N Saarinen, JC White, MA Wulder, A Kangas, S Tuominen, V Kankare, ...
Suomen Metsätieteellinen Seura, 2018
Using multi-source data to map and model the predisposition of forests to wind disturbance
N Saarinen, M Vastaranta, E Honkavaara, MA Wulder, JC White, P Litkey, ...
Scandinavian journal of forest research 31 (1), 66-79, 2016
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
Accuracy of High-Altitude Photogrammetric Point Clouds in Mapping
T Tanhuanpää, N Saarinen, V Kankare, K Nurminen, M Vastaranta, ...
The Rise of Big Spatial Data, 167-181, 2017
Sidosryhmien näkemyksiä alueellisesta metsäohjelmatyöstä
M Laitala, N Saarinen, H Saarikoski, J Tikkanen
Metsäntutkimuslaitos, 2009
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Articles 1–20