Detecting subpixel deciduous components to complement traditional land cover classifications in Southwest Finland. - Timo P. Pitkänen; Helle Skånes; Niina Käyhkö (Int. J. Appl. Earth Obs. Geoinformation, 2015)

Errors related to the automatized satellite-based change detection of boreal forests in Finland. - Timo P. Pitkänen; Laura Sirro; Lauri Häme; Tuomas Häme; Markus Törmä; Annika Kangas (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Improving TLS-based stem volume estimates by field measurements. - Timo P. Pitkänen; Pasi Raumonen; Xinlian Liang; Matti Lehtomäki; Annika Kangas (Comput. Electron. Agric., 2021)

Quantifying the effects of competition on the dimensions of Scots pine and Norway spruce crowns. - Timo P. Pitkänen; S. Bianchi; Annika Kangas (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland. - Fahimeh Farahnakian; Luca Zelioli; Timo P. Pitkänen; Jonne Pohjankukka; Maarit Middleton; Sakari Tuominen; Paavo Nevalainen; Jukka Heikkonen (FUSION, 2023)

CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery. - Fahimeh Farahnakian; Luca Zelioli; Maarit Middleton; Iiro Seppä; Timo P. Pitkänen; Jukka Heikkonen (ROSE, 2023)

Automatized Sentinel-2 mosaicking for large area forest mapping. - Timo P. Pitkänen; Andras Balazs; Sakari Tuominen (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset. - Stefano Puliti; Emily R. Lines; Jana Müllerová; Julian Frey; Zoe Schindler; Adrian Straker; Matt Allen 001; Lukas Winiwarter; Nataliia Rehush; Hristina Hristova; Brent Murray; Kim Calders; et al. (CoRR, 2024)

Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network. - Luca Zelioli; Fahimeh Farahnakian; Maarit Middleton; Timo P. Pitkänen; Sakari Tuominen; Paavo Nevalainen; Jonne Pohjankukka; Jukka Heikkonen (Ecol. Informatics, 2025)