| 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 | 22 | 2018 |
| 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 | 15 | 2019 |
| 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 | 13 | 2022 |
| 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 | 13 | 2018 |
| 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 | 13 | 2017 |
| 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 | 9 | 2016 |
| 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 | 8 | 2022 |
| 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 | 8 | 2021 |
| Uncertainty quantification in remote sensing of forests P Varvia Itä-Suomen yliopisto, 2018 | 5 | 2018 |
| Three-phase hierarchical model-based and hybrid inference S Saarela, P Varvia, L Korhonen, Z Yang, PL Patterson, T Gobakken, ... MethodsX 11, 102321, 2023 | 3 | 2023 |
| mgpr: An R package for multivariate Gaussian process regression P Varvia, J Räty, P Packalen SoftwareX 24, 101563, 2023 | 1 | 2023 |
| 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 | 1 | 2023 |
| 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 | 1 | 2021 |
| 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 |
