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Janne Räty
Janne Räty
Postdoctoral researcher, Natural Resources Institute Finland (Luke), Finland
Dirección de correo verificada de luke.fi
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Año
Comparing nearest neighbor configurations in the prediction of species-specific diameter distributions
J Räty, P Packalen, M Maltamo
Annals of forest science 75, 1-16, 2018
142018
Effects of numbers of observations and predictors for various model types on the performance of forest inventory with airborne laser scanning
DN Cosenza, P Packalen, M Maltamo, P Varvia, J Räty, P Soares, ...
Canadian journal of forest research 52 (3), 385-395, 2022
132022
Prediction and model-assisted estimation of diameter distributions using Norwegian national forest inventory and airborne laser scanning data
J Räty, R Astrup, J Breidenbach
Canadian Journal of Forest Research 51 (10), 1521-1533, 2021
122021
Prediction of forest canopy fuel parameters in managed boreal forests using multispectral and unispectral airborne laser scanning data and aerial images
M Maltamo, J Räty, L Korhonen, E Kotivuori, M Kukkonen, H Peltola, ...
European Journal of Remote Sensing 53 (1), 245-257, 2020
122020
On the potential to predetermine dominant tree species based on sparse-density airborne laser scanning data for improving subsequent predictions of species-specific timber volumes
J Räty, J Vauhkonen, M Maltamo, T Tokola
Forest Ecosystems 3, 1-17, 2016
122016
Fusing diameter distributions predicted by an area-based approach and individual-tree detection in coniferous-dominated forests
J Räty, P Packalen, E Kotivuori, M Maltamo
Canadian journal of forest research 50 (2), 113-125, 2020
92020
Predicting factual sawlog volumes in Scots pine dominated forests using airborne laser scanning data
T Karjalainen, P Packalen, J Räty, M Maltamo
Silva Fennica 53 (4), 2019
92019
Prediction of butt rot volume in Norway spruce forest stands using harvester, remotely sensed and environmental data
J Räty, J Breidenbach, M Hauglin, R Astrup
International Journal of Applied Earth Observation and Geoinformation 105 …, 2021
72021
A comparison of linear-mode and single-photon airborne LiDAR in species-specific forest inventories
J Räty, P Varvia, L Korhonen, P Savolainen, M Maltamo, P Packalen
IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021
72021
The utility of fused airborne laser scanning and multispectral data for improved wind damage risk assessment over a managed forest landscape in Finland
R Gopalakrishnan, P Packalen, VP Ikonen, J Räty, A Venäläinen, ...
Annals of forest science 77, 1-18, 2020
62020
Nearest neighbor imputation of logwood volumes using bi-temporal ALS, multispectral ALS and aerial images
J Räty, P Packalen, M Maltamo
Scandinavian journal of forest research 34 (6), 469-483, 2019
52019
Assessing and mitigating systematic errors in forest attribute maps utilizing harvester and airborne laser scanning data
J Räty, M Hauglin, R Astrup, J Breidenbach
Canadian Journal of Forest Research 53 (4), 284-301, 2022
22022
mgpr: An R package for multivariate Gaussian process regression
P Varvia, J Räty, P Packalen
SoftwareX 24, 101563, 2023
12023
Can models for forest attributes based on airborne laser scanning be generalized for different silvicultural management systems?
M Maltamo, P Peltola, P Packalen, A Hardenbol, J Räty, T Saksa, ...
Forest Ecology and Management 546, 121312, 2023
12023
An analysis of stand-level size distributions of decay-affected Norway spruce trees based on harvester data
J Räty, AM Hietala, J Breidenbach, R Astrup
Annals of Forest Science 80 (1), 2, 2023
12023
Gaussian process regression for airborne laser scanning based forest inventory: Validation and parameter selection
P Varvia, J Räty, L Korhonen, P Packalen
Proceedings of the Silvilaser conference 2021, 98-100, 2021
12021
Prediction of diameter distributions in boreal forests using remotely sensed data
J Räty
Dissertation Forestales 294. 47 p. https://doi. org/10.14214/df. 294, 2020
12020
Estimating the timber value of a forest property using geographically balanced samples and unoccupied aerial vehicle data
J Räty, J Heikkinen, M Kukkonen, L Mehtätalo, A Kangas, P Packalen
Forestry: An International Journal of Forest Research, cpae014, 2024
2024
Model-Assisted Estimation of Timber Volume by Means of Harvester and ALS Data
J Räty, R Astrup, J Breidenbach
# PLACEHOLDER_PARENT_METADATA_VALUE#, 270-272, 2021
2021
Tukkitilavuuden ennustaminen mäntyvaltaisissa metsiköissä laserkeilausaineistoa käyttäen
T Karjalainen, P Packalen, J Räty, M Maltamo
2020
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Artículos 1–20