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Timo P. Pitkänen
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2020 – today
- 2024
- [j5]Timo P. Pitkänen, Andras Balazs, Sakari Tuominen:
Automatized Sentinel-2 mosaicking for large area forest mapping. Int. J. Appl. Earth Obs. Geoinformation 127: 103659 (2024) - [i1]Stefano Puliti, Emily R. Lines, Jana Müllerová, Julian Frey, Zoe Schindler, Adrian Straker, Matt Allen, Lukas Winiwarter, Nataliia Rehush
, Hristina Hristova, Brent Murray
Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset. CoRR abs/2408.06507 (2024) - 2023
- [c2]Fahimeh Farahnakian, Luca Zelioli, Timo P. Pitkänen
Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland. FUSION 2023: 1-8 - [c1]Fahimeh Farahnakian, Luca Zelioli, Maarit Middleton, Iiro Seppä, Timo P. Pitkänen, Jukka Heikkonen:
CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery. ROSE 2023: 1-7 - 2022
- [j4]Timo P. Pitkänen
Quantifying the effects of competition on the dimensions of Scots pine and Norway spruce crowns. Int. J. Appl. Earth Obs. Geoinformation 112: 102941 (2022) - 2021
- [j3]Timo P. Pitkänen
Improving TLS-based stem volume estimates by field measurements. Comput. Electron. Agric. 180: 105882 (2021) - 2020
- [j2]Timo P. Pitkänen
Errors related to the automatized satellite-based change detection of boreal forests in Finland. Int. J. Appl. Earth Obs. Geoinformation 86 (2020)
2010 – 2019
- 2015
- [j1]Timo P. Pitkänen
Detecting subpixel deciduous components to complement traditional land cover classifications in Southwest Finland. Int. J. Appl. Earth Obs. Geoinformation 42: 97-105 (2015)
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last updated on 2024-10-07 21:16 CEST by the dblp team
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