Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer sciences, Licentiate, Customisation of Information Extraction Systems, Helsinki University of Technology
Award Date: 22 Nov 2006
Computer sciences, Master, Helsinki University of Technology
Award Date: 31 May 1999
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Dive into the research topics where Lauri Seitsonen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Projects
- 3 Active
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MultiMiner: Multi-source and multi-scale earth observation and novel machine learning methods for mineral exploration and mine site monitoring
Molinier, M. (Manager), Antropov, O. (Participant), Mõttus, M. (Participant) & Seitsonen, L. (Participant)
1/01/23 → 30/06/26
Project: EU project
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PathFinder: Towards an Integrated Consistent European LULUCF Monitoring and Policy Pathway Assessment Framework.
Miettinen, J. (Manager), Sirro, L. (Participant), Seitsonen, L. (Participant) & Tergujeff, R. (Participant)
1/09/22 → 31/08/26
Project: EU project
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ARTISDIG: Artificial Intelligence for Twinning the Diversity, Productivity and Spectral Signature of Forests
Mõttus, M. (PI), Astola, H. (Participant), Halme, E. (Participant) & Seitsonen, L. (Participant)
1/01/22 → 31/12/24
Project: Academy of Finland project
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Continuous Ground Moisture Monitoring at Limestone Quarry Using Multi-Sensor SAR Images and in Situ IoT Sensors
Antropov, O., Molinier, M., Seitsonen, L., Hamedianfar, A., Middleton, M., Laakso, K., Sutinen, H. & Liwata-Kenttala, P., 2024, IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. IEEE Institute of Electrical and Electronic Engineers, p. 3392-3395 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
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Forest Flux: Final Report
Häme, T., Sirro, L., Seitsonen, L., Rauste, Y., Mõttus, M., Miettinen, J., Dees, M., Davis, L., Rossi, F., Penttilä, J., Auvinen, M., Rasinmäki, J., Mäkelä, A., Minunno, F., Tian, X., Marin, G., Dumitru, M., Tomé, M. & Barreiro, S., 2022, VTT Technical Research Centre of Finland. 48 p. (VTT Technology; No. 403).Research output: Book/Report › Report
Open Access -
Intercomparison of Earth Observation Data and Methods for Forest Mapping in the Context of Forest Carbon Monitoring
Antropov, O., Miettinen, J., Hame, T., Yrjo, R., Seitsonen, L., McRoberts, R. E., Santoro, M., Cartus, O., Duran, N. M., Herold, M., Pardini, M., Papathanassiou, K. & Hajnsek, I., 28 Sept 2022, IGARSS 2022: 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE Institute of Electrical and Electronic Engineers, p. 5777-5780 (IEEE International Geoscience and Remote Sensing Symposium Proceedings, Vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
2 Citations (Scopus) -
Deep neural networks with transfer learning for forest variable estimation using sentinel-2 imagery in boreal forest
Astola, H. (Corresponding Author), Seitsonen, L., Halme, E., Molinier, M. & Lönnqvist, A., 18 Jun 2021, In: Remote Sensing. 13, 12, 2392.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile31 Citations (Scopus)243 Downloads (Pure) -
Demonstration of large area forest volume and primary production estimation approach based on Sentinel-2 imagery and process based ecosystem modelling
Miettinen, J., Carlier, S., Häme, L., Mäkelä, A., Minunno, F., Penttilä, J., Pisl, J., Rasinmäki, J., Rauste, Y., Seitsonen, L., Tian, X. & Häme, T., 2021, In: International Journal of Remote Sensing. 42, 24, p. 9492-9514 23 p.Research output: Contribution to journal › Article › Scientific › peer-review
11 Citations (Scopus)