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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Projects
- 2 Active
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PathFinder: Towards an Integrated Consistent European LULUCF Monitoring and Policy Pathway Assessment Framework.
Miettinen, J., Sirro, L., Seitsonen, L. & Tergujeff, R.
1/09/22 → 31/08/26
Project: EU project
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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
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Deep neural networks with transfer learning for forest variable estimation using sentinel-2 imagery in boreal forest
Astola, H., 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 AccessFile14 Citations (Scopus)124 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
3 Citations (Scopus) -
A hierarchical clustering method for land cover change detection and identification
Häme, T., Sirro, L., Kilpi, J., Seitsonen, L., Andersson, K. & Melkas, T., 29 May 2020, In: Remote Sensing. 12, 11, 1751.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile6 Citations (Scopus)132 Downloads (Pure)