| 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 | 18 | 2022 |
| 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 | 17 | 2020 |
| 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 | 15 | 2018 |
| 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 | 13 | 2021 |
| 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 | 12 | 2020 |
| 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 | 12 | 2016 |
| 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 | 11 | 2019 |
| 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 | 10 | 2021 |
| 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 | 9 | 2021 |
| 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 | 8 | 2020 |
| 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 | 5 | 2019 |
| 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 | 3 | 2023 |
| 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 | 3 | 2022 |
| Gaussian process regression for airborne laser scanning based forest inventory: Validation and parameter selection P Varvia, J Räty, L Korhonen, P Packalen # PLACEHOLDER_PARENT_METADATA_VALUE#, 98-100, 2021 | 3 | 2021 |
| mgpr: An R package for multivariate Gaussian process regression P Varvia, J Räty, P Packalen SoftwareX 24, 101563, 2023 | 2 | 2023 |
| Prediction of diameter distributions in boreal forests using remotely sensed data J Räty Diss. For 294, 47, 2020 | 2 | 2020 |
| 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 | 1 | 2023 |
| 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 97 (5), 785-796, 2024 | | 2024 |
| Uncertainty Quantification for Forest Attribute Maps with Conformal Prediction and K-Nearest Neighbor Method M Kuronen, J Räty, P Packalen, M Myllymäki Available at SSRN 5035783, 2024 | | 2024 |
| Detection of snow disturbances in boreal forests using unitemporal airborne lidar data and aerial images J Räty, M Kukkonen, M Melin, M Maltamo, P Packalen Forestry: An International Journal of Forest Research, cpae057, 2024 | | 2024 |
Petteri PackalenNatural Resources Institute Finland (Luke), FinlandE-mail confirmado em luke.fi
