Timo P. Pitkänen

According to our database, Timo P. Pitkänen authored at least 8 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Lukas Winiwarter, Nataliia Rehush, Hristina Hristova, Brent Murray, Kim Calders, Louise Terryn, Nicholas C. Coops, Bernhard Höfle, Samuli Junttila, Martin Krucek, Grzegorz Krok, Kamil Král, Shaun R. Levick, Linda Luck, Azim Missarov, Martin Mokros, Harry J. F. Owen, Krzysztof Sterenczak, Timo P. Pitkänen, Nicola Puletti, Ninni Saarinen, Chris Hopkinson, Chiara Torresan, Enrico Tomelleri, Hannah Weiser, Rasmus Astrup

CoRR, 2024

Automatized Sentinel-2 mosaicking for large area forest mapping.

Timo P. Pitkänen, Andras Balazs, Sakari Tuominen

Int. J. Appl. Earth Obs. Geoinformation, 2024

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

Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2023

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

Proceedings of the 26th International Conference on Information Fusion, 2023

2022

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

2021

Improving TLS-based stem volume estimates by field measurements.

Timo P. Pitkänen, Pasi Raumonen, Xinlian Liang, Matti Lehtomäki, Annika Kangas

Comput. Electron. Agric., 2021

2020

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

2015

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