Projects per year
Personal profile
Short bio
Dr. Matti Mõttus is a Principal Scientist at VTT in Remote Sensing team. His areas of expertise include hyperspectral remote sensing, and mapping of vegetation structure and functioning using remote sensing data. He is a member of the Mission Advisory Group for ESA’s FLEX satellite and the EnMAP hyperspectral imager by the German DLR, the Science Advisory Committee of Swedish National Space Agency, and an official collaborator on EPIC DSCOVR vegetation products developed by Boston University (prof. Yuri Knyazikhin). Dr. Mõttus has acted as the Principal Investigator (PI) of four research projects funded by the Research Council of Finland (previously Academy of Finland) and participated in numerous other national and international projects related to remote sensing. He is also the PI of the Forest Digital Twin Component project for the Destination Earth (DestinE) initiative, funded by the European Space Agency.
Research interests
Information on my research projects, datasets and computer code can be found at the dedicated GitHub page.
My research interests include
- Remote sensing of vegetation structure and functioning
- Radiative transfer in vegetation canopies and forest reflectance models
- Combining Artificial Intelligence (AI) and physical models
- Hyperspectral remote sensing
- Photosynthetically Active Radiation (PAR) measurement and modeling
- Optical field spectroscopy
- Quantification of vegetation structure
- Theory of spectral invariants in radiative transfer theory
- Photochemical Reflectance Index (PRI) and sun-induced chlorophyll fluorescence
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
Natural sciences, Doctorate, Shortwave solar radiation field in willow coppice, University of Tartu
1 Sept 2000 → 1 Dec 2004
Award Date: 1 Dec 2004
External positions
Academy of Finland Research Fellow, VTT Technical Research Centre of Finland
1 Sept 2016 → 31 Dec 2018
Academy of Finland Research Fellow, University of Helsinki, Department of Geosciences and Geography
1 Sept 2013 → 31 Aug 2016
Postdoctoral researcher, University of Helsinki, Department of Geosciences and Geography
1 Jan 2010 → 31 Aug 2013
title of docent, University of Helsinki
12 Nov 2009 → …
Postdoctoral researcher, University of Helsinki, Department of Forest Resource Management
1 Jul 2009 → 31 Dec 2009
postdoctoral researcher, short contracts, total 6 months, University of Helsinki, Department of Forest Research Management
1 Jan 2007 → 31 Dec 2008
Senior Research Associate, Tartu Observatory
1 Aug 2006 → 30 Jun 2009
Postdoctoral researcher, University of Helsinki, Department of Forest Ecology
1 Jun 2005 → 31 Jul 2006
Research fellow, Tartu Observatory
1 Jun 2004 → 31 May 2005
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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TerraDT: Digital Twin of Earth system for Cryosphere, Land surface and related interactions
Mõttus, M. (PI), Halme, E. (Participant), Sirro, L. (Participant) & Astola, H. (Participant)
1/01/25 → 31/12/28
Project: EU project
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CISAT: Situational Assessment Tool
Arnold, M. (Manager), Mõttus, M. (Participant), Palviainen, M. (Participant), Federley, M. (Participant), Peltonen, E. (Participant), Korhonen, H. (Participant) & Ihalainen, O. (Participant)
1/11/23 → 31/10/25
Project: Business Finland project
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ScaleAgData: Scaling agricultural sensor data for an improved monitoring of agri-environmental conditions
Astola, H. (Manager), Mõttus, M. (Participant), Sirro, L. (Participant), Kokka, A. (Participant) & Briede, E. (Participant)
1/01/23 → 31/12/26
Project: EU project
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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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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
Research output
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Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling
Hernández-Clemente, R., Hornero, A., Mõttus, M., Penuelas, J., González-Dugo, V., Jiménez, J. C., Suárez, L., Alonso, L. & Zarco-Tejada, P. J., 15 Sept 2019, In: Current Forestry Reports. 5, 3, p. 169-183Research output: Contribution to journal › Review Article › peer-review
Open Access86 Citations (Scopus) -
Utility of hyperspectral compared to multispectral remote sensing data in estimating forest biomass and structure variables in Finnish boreal forest
Halme, E., Pellikka, P. & Mõttus, M., 23 Aug 2019, In: International Journal of Applied Earth Observation and Geoinformation. 83, 101942.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access58 Citations (Scopus) -
Diurnal Changes in Leaf Photochemical Reflectance Index in Two Evergreen Forest Canopies
Mõttus, M., Aragão, L., Bäck, J., Hernández-Clemente, R., Maeda, E. E. & Markiet, V., Jul 2019, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12, 7, p. 2236-2243Research output: Contribution to journal › Article › Scientific › peer-review
Open Access5 Citations (Scopus) -
Combining Deep Learning Methods for Retrieval of Forest Biomass & Structure
Molinier, M., Astola, H. & Mõttus, M., 16 May 2019, ESA Living Planet Symposium 2019. Milano: European Space Agency (ESA)Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Scientific
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Implications of whole-disc DSCOVR EPIC spectral observations for estimating earth's spectral reflectivity based on low-earth-orbiting and geostationary observations
Song, W., Knyazikhin, Y., Wen, G., Marshak, A., Mõttus, M., Yan, K., Yang, B., Xu, B., Park, T., Chen, C., Zeng, Y., Yan, G., Mu, X. & Myneni, R. B., 1 Oct 2018, In: Remote Sensing. 10, 10, 1594.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access18 Citations (Scopus)