| Global protected area expansion is compromised by projected land-use and parochialism F Montesino Pouzols, T Toivonen, E Di Minin, AS Kukkala, P Kullberg, ... Nature 516 (7531), 383-386, 2014 | 438 | 2014 |
| 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 | 160 | 2021 |
| Using key biodiversity areas to guide effective expansion of the global protected area network P Kullberg, E Di Minin, A Moilanen Global Ecology and Conservation 20, e00768, 2019 | 62 | 2019 |
| How do recent spatial biodiversity analyses support the convention on biological diversity in the expansion of the global conservation area network? P Kullberg, A Moilanen Natureza & Conservacao 12 (1), 3-10, 2014 | 44 | 2014 |
| Institutions for governing biodiversity offsetting: an analysis of rights and responsibilities E Primmer, L Varumo, JM Kotilainen, E Raitanen, M Kattainen, ... Land Use Policy 81, 776-784, 2019 | 28 | 2019 |
| Complementarity and area-efficiency in the prioritization of the global protected area network P Kullberg, T Toivonen, F Montesino Pouzols, J Lehtomäki, E Di Minin, ... PLoS One 10 (12), e0145231, 2015 | 20 | 2015 |
| A global biodiversity observing system to unite monitoring and guide action A Gonzalez, P Vihervaara, P Balvanera, AE Bates, E Bayraktarov, ... Nature ecology & evolution 7 (12), 1947-1952, 2023 | 18 | 2023 |
| Heikennyksen ja hyvityksen arviointi ekologisessa kompensaatiossa H Kujala, P Halme, M Pekkonen, T Ryttäri, A Raunio, P Kullberg, ... Suomen ympäristökeskuksen raportteja 39, 2021, 2021 | 11 | 2021 |
| Precision, Applicability, and Economic Implications: A Comparison of Alternative Biodiversity Offset Indexes J Kangas, P Kullberg, M Pekkonen, JS Kotiaho, M Ollikainen Environmental Management 68 (2), 170-183, 2021 | 8 | 2021 |
| Chytrid fungus screening in a population of common frogs from northern Finland C Patrelle, C Miaud, N Cristina, P Kulberg, J Merilä Herpetological Review, 2012 | 6 | 2012 |
| 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 |
| Oppeja Suomen ensimmäisestä kunnan ekologisesta kompensaatiosta Lahdessa L Varumo, J Kangas, J Kotilainen, P Kullberg, E Ojala, M Pekkonen, ... Alue ja ympäristö, 2023 | 1 | 2023 |
| Biodiversiteetin mittaaminen ja uudet menetelmät P Vihervaara, P Kullberg, P Hurskainen Futura 38 (3), 16-27, 2019 | 1 | 2019 |
| 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 |
| A global biodiversity observing system to unite monitoring and guide action (AUG, 10.1038/s41559-023-02171-0, 2023) A Gonzalez, P Vihervaara, P Balvanera, AE Bates, E Bayraktarov, ... NATURE ECOLOGY & EVOLUTION 8 (1), 175-175, 2024 | | 2024 |
| Author Correction: A global biodiversity observing system to unite monitoring and guide action A Gonzalez, P Vihervaara, P Balvanera, AE Bates, E Bayraktarov, ... Nature ecology & evolution 7 (12), 2173-2173, 2023 | | 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 |
| 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 |
| Pääkirjoitus P Vihervaara, P Kullberg, V Varho Tulevaisuuden tutkimuksen seura, 2019 | | 2019 |
