Päivi Lyytikäinen-Saarenmaa
Visiting Researcher
School of Forest Sciences, Faculty of Science, Forestry and Technology
Research groups
Publications
17/17 items-
Infestation symptoms as indicators of a sustained bark beetle outbreak in conserved and managed Norway spruce forests in south-eastern Finland
Simon, Diana-Cristina; Lyytikäinen-Saarenmaa, Päivi; Pelto-Arvo, Mikko; Tuviala, Johanna; Kosunen, Maiju; Honkavaara, Eija; Näsi, Roope; Tikkanen, Olli-Pekka; Kilpeläinen, Antti; Peltola, Heli, 2025, European journal of forest research, 144, 3, 377-391. A1 Journal article (refereed), original research -
Effects of forest stand and landscape variables on Ips typographus damages in Finland’s nationwide
Pulgarin Díaz, John Alexander; Melin, Markus; Lyytikäinen-Saarenmaa, Päivi; Peltola, Heli; Tikkanen, Olli-Pekka, 2024, Itä-Suomen yliopisto. Abstract -
Exploring forest changes in an Ips typographus L. outbreak area: insights from multi-temporal multispectral UAS remote sensing
Östersund, Madeleine; Honkavaara, Eija; Oliveira, Raquel A; Näsi, Roope; Hakala, Teemu; Koivumäki, Niko; Pelto-Arvo, Mikko; Tuviala, Johanna; Nevalainen, Olli; Lyytikäinen-Saarenmaa, Päivi, 2024, European journal of forest research, 143, 6, 1871-1892. A1 Journal article (refereed), original research -
Island biogeography theory and the assembly patterns of native versus non-native forest insects
Mech, Angela M.; Liebhold, Andrew M.; Trombik, Jiří; Björkman, Christer; Gandhi, Kamal J.K.; Lyytikäinen-Saarenmaa, Päivi; Pureswaran, Deepa S.; Synek, Jiří; Klapwijk, Maartje J., 2024, Oikos, [Epub ahead of print 10 December 2024], 1-11. A1 Journal article (refereed), original research -
Metsien terveyttä uhkaaviin riskeihin pystytään varautumaan uusien innovaatioiden avulla – Keski-Euroopan ja Ruotsin kaltaiset tuhot ovat vältettävissä
Lyytikäinen-Saarenmaa, Päivi; Honkavaara, Eija, 2024, Maaseudun tulevaisuus. E1 Popularised article, newspaper article -
Towards scalable wide area UAS monitoring of forest disturbance using hydrogen powered airships
Turkulainen, Emma; Hietala, Janne; Jormakka, Jiri; Tuviala, Johanna; de Oliveira, Raquel Alves; Koivumaeki, Niko; Karila, Kirsi; Naesi, Roope; Suomalainen, Juha; Pelto-Arvo, Mikko; Lyytikaeinen-Saarenmaa, Paeivi; Honkavaara, Eija, 2024, International journal of remote sensing, 2025; 46, 1, 177-204. A1 Journal article (refereed), original research -
Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images
Turkulainen, Emma; Honkavaara, Eija; Näsi, Roope; Oliveira, Raquel A.; Hakala, Teemu; Junttila, Samuli; Karila, Kirsi; Koivumäki, Niko; Pelto-Arvo, Mikko; Tuviala, Johanna; Östersund, Madeleine; Pölönen, Ilkka; Lyytikäinen-Saarenmaa, Päivi, 2023, Remote sensing, 15, 20, 4928. A1 Journal article (refereed), original research -
Defoliation-Induced Growth Reduction of Pinus sylvestris L. after a Prolonged Outbreak of Diprion pini L.—A Case Study from Eastern Finland
Blomqvist, Minna; Lyytikäinen-Saarenmaa, Päivi; Kosunen, Maiju; Kantola, Tuula; Holopainen, Markus, 2022, Forests, 13, 6, 839. A1 Journal article (refereed), original research -
Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network †
Kanerva, Heini; Honkavaara, Eija; Näsi, Roope; Hakala, Teemu; Junttila, Samuli; Karila, Kirsi; Koivumäki, Niko; Alves Oliveira, Raquel; Pelto-Arvo, Mikko; Pölönen, Ilkka; Tuviala, Johanna; Östersund, Madeleine; Lyytikäinen-Saarenmaa, Päivi, 2022, Remote sensing, 14, 24, 6257. A1 Journal article (refereed), original research -
Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season
Junttila, Samuli; Näsi, Roope; Koivumäki, Niko; Imangholiloo, Mohammad; Saarinen, Ninni; Raisio, Juha; Holopainen, Markus; Hyyppä, Hannu; Hyyppä, Juha; Lyytikäinen-Saarenmaa, Päivi; Vastaranta, Mikko; Honkavaara, Eija, 2022, Remote sensing, 14, 4, 909. A1 Journal article (refereed), original research