| Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks J Mäyrä, S Keski-Saari, S Kivinen, T Tanhuanpää, P Hurskainen, ... Remote Sensing of Environment 256, 112322, 2021 | 159 | 2021 |
| Developing a spatially explicit modelling and evaluation framework for integrated carbon sequestration and biodiversity conservation: Application in southern Finland M Forsius, H Kujala, F Minunno, M Holmberg, N Leikola, N Mikkonen, ... Science of The Total Environment 775, 145847, 2021 | 19 | 2021 |
| Detecting European Aspen (Populus tremula L.) in Boreal Forests Using Airborne Hyperspectral and Airborne Laser Scanning Data A Viinikka, P Hurskainen, S Keski-Saari, S Kivinen, T Tanhuanpää, ... Remote Sensing 12 (16), 2610, 2020 | 18 | 2020 |
| Utilizing historical maps in identification of long-term land use and land cover changes J Mäyrä, S Kivinen, S Keski-Saari, L Poikolainen, T Kumpula Ambio 52 (11), 1777-1792, 2023 | 6 | 2023 |
| Rannikon kokonaiskuormitusmalli: ravinnepäästöjen vaikutus veden tilaan–Kehityshankkeen loppuraportti (XI 2015–VI 2018) R Lignell, E Miettunen, L Tuomi, J Ropponen, H Kuosa, J Attila, I Puttonen, ... | 5 | 2018 |
| Remote sensing in mapping biodiversity–A case study of epiphytic lichen communities I Palmroos, V Norros, S Keski-Saari, J Mäyrä, T Tanhuanpää, S Kivinen, ... Forest Ecology and Management 538, 120993, 2023 | 3 | 2023 |
| Land cover classification from multispectral data using convolutional autoencoder networks J Mäyrä | 2 | 2018 |
| Input data resolution affects the conservation prioritization outcome of spatially sparse biodiversity features T Tanhuanpää, N Mikkonen, H Kujala, E Heinaro, J Mäyrä, T Kumpula Ambio 52 (11), 1793-1803, 2023 | 1 | 2023 |
| Suomen ekosysteemiobservatorio–kansallinen toimintamalli luontotiedon tuotantoon, synteesiin ja käyttöön: Suomen ekosysteemiobservatorio-hankkeen loppuraportti P Vihervaara, I Palmroos, P Kullberg, S Anttila, M Forsius, H Lehtiniemi, ... Suomen ympäristökeskus, 2024 | | 2024 |
| Automated detection of boreal forest deadwood using RGB UAV imagery T Kumpula, T Tanhuanpää, A Kuzmin, E Heinaro | | 2023 |
| Finnish Ecosystem Observatory (FEO)-operationalizing remote sensing analyses for threatened habitats and biodiversity monitoring P Vihervaara, S Anttila, P Kullberg, P Härmä, M Törmä, T Jussila, ... 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 735-738, 2021 | | 2021 |
| Detecting a keystone species European aspen in boreal forests with airborne hyperspectral, LiDAR and UAV data with machine learning methods T Kumpula, J Mäyrä, A Kuzmin, A Viinikka, S Kivinen, T Tanhuanpää, ... EGU General Assembly Conference Abstracts, EGU21-16273, 2021 | | 2021 |
| Novel methods for the accounting of forest ecosystems and circular materials (2019-FI-ENVECO). Methodological report/January 2021 P Hurskainen, J Salminen, A Bálazs, A Johansson, A Kangas, ... Finnish Environment Institute; Natural Resources Institute Finland; ENVECO-hanke, 2021 | | 2021 |
| Aspen detection in boreal forests: Capturing a key component of biodiversity with airborne hyperspectral, lidar, and UAV data using machine learning and 3D convolutional neural … T Kumpula, J Mäyrä, A Viinikka, A Kuzmin, S Keski-Saari, S Kivinen, ... AGU Fall Meeting Abstracts 2020, B042-03, 2020 | | 2020 |
| Aspen detection in boreal forests: Capturing a key component of biodiversity using airborne hyperspectral, lidar, and UAV data T Kumpula, A Viinikka, J Mäyrä, A Kuzmin, P Hurskainen, T Tanhuanpää, ... EGU General Assembly Conference Abstracts, 21268, 2020 | | 2020 |
| Kvanttitietokoneen toiminnan simulointi ja emulointi J Mäyrä | | 2017 |
