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Petri Varvia
Petri Varvia
Postdoctoral Researcher, School of Forest Sciences, University of Eastern Finland, Joensuu
Dirección de correo verificada de uef.fi
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Año
Bayesian estimation of seasonal course of canopy leaf area index from hyperspectral satellite data
P Varvia, M Rautiainen, A Seppänen
Journal of Quantitative Spectroscopy and Radiative Transfer 208, 19-28, 2018
212018
Bayesian inversion of a forest reflectance model using sentinel-2 and landsat 8 satellite images
D Schraik, P Varvia, L Korhonen, M Rautiainen
Journal of Quantitative Spectroscopy and Radiative Transfer 233, 1-12, 2019
152019
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
Gaussian process regression for forest attribute estimation from airborne laser scanning data
P Varvia, T Lähivaara, M Maltamo, P Packalen, A Seppänen
IEEE Transactions on Geoscience and Remote Sensing 57 (6), 3361-3369, 2018
132018
Modeling uncertainties in estimation of canopy LAI from hyperspectral remote sensing data–A Bayesian approach
P Varvia, M Rautiainen, A Seppänen
Journal of Quantitative Spectroscopy and Radiative Transfer 191, 19-29, 2017
132017
Uncertainty quantification in ALS-based species-specific growing stock volume estimation
P Varvia, T Lähivaara, M Maltamo, P Packalen, T Tokola, A Seppänen
IEEE Transactions on Geoscience and Remote Sensing 55 (3), 1671-1681, 2016
92016
How to consider the effects of time of day, beam strength, and snow cover in ICESat-2 based estimation of boreal forest biomass?
P Varvia, L Korhonen, A Bruguière, J Toivonen, P Packalen, M Maltamo, ...
Remote Sensing of Environment 280, 113174, 2022
72022
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
Uncertainty quantification in remote sensing of forests
P Varvia
Itä-Suomen yliopisto, 2018
52018
Three-phase hierarchical model-based and hybrid inference
S Saarela, P Varvia, L Korhonen, Z Yang, PL Patterson, T Gobakken, ...
MethodsX 11, 102321, 2023
32023
mgpr: An R package for multivariate Gaussian process regression
P Varvia, J Räty, P Packalen
SoftwareX 24, 101563, 2023
12023
Estimation of boreal forest biomass from ICESat-2 data using hierarchical hybrid inference
P Varvia, S Saarela, M Maltamo, P Packalen, T Gobakken, E Næsset, ...
arXiv preprint arXiv:2307.04497, 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
How to consider the effects of time of day, beam strength, and snow cover in ICESat-2 based estimation of boreal forest biomass?
L Korhonen, A Bruguière, P Varvia, J Toivonen, P Packalen, M Maltamo, ...
# PLACEHOLDER_PARENT_METADATA_VALUE#, 38-40, 2021
2021
Metsän heijastusmallin tilastollinen inversio
P Varvia
Itä-Suomen yliopisto, 2013
2013
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Artículos 1–15