Mika Sulkava

Research scientist, D.Sc. (Tech.), B.Soc.Sc.

I worked at Aalto University until 2011. I'm currently employed at MTT Agrifood Research Finland.

My main research interests are machine learning, data mining, and exploratory data analysis in the fields of environmental informatics and environmental statistics.

Contact information

Office:

Latokartanonkaari 9, Viikki campus area, Helsinki

Postal Address:

MTT, Economic Research, Economics and Social Sciences
Latokartanonkaari 9
FI-00790 Helsinki
Finland

Telephone:

+358 40 197 6086

Fax:

+358 20 772 040

Email:

firstname.lastnamemtt.fi

Publications

Journal articles

Mika Sulkava, Sebastiaan Luyssaert, Sönke Zaehle, and Dario Papale.
Assessing and improving the representativeness of monitoring networks: The European flux tower network example.
Journal of Geophysical Research – Biogeosciences, 116:G00J04, May 2011.

Mikko Korpela, Pekka Nöjd, Jaakko Hollmén, Harri Mäkinen, Mika Sulkava, and Pertti Hari.
Photosynthesis, temperature and radial growth of Scots pine in northern Finland: identifying the influential time intervals.
Trees – Structure and Function, 25(2):323--332, April 2011.

Mikko Korpela, Harri Mäkinen, Pekka Nöjd, Jaakko Hollmén, and Mika Sulkava.
Automatic detection of onset and cessation of tree stem radius increase using dendrometer data.
Neurocomputing, 73(10–12):2039–2046, June 2010.

S. Luyssaert, P. Ciais, S. L. Piao, E.-D. Schulze, M. Jung, S. Zaehle, M. J. Schelhaas, M. Reichstein, G. Churkina, D. Papale, G. Abril, C. Beer, J. Grace, D. Loustau, G. Matteucci, F. Magnani, G. J. Nabuurs, H. Verbeeck, M. Sulkava, G. R. van der Werf, and I. A. Janssens.
The european carbon balance. part 3: forests.
Global Change Biology, 16(5):1429–1450, May 2010.

S. Luyssaert, I.A. Janssens, M. Sulkava, D. Papale, A.J. Dolman, M. Reichstein, J. Hollmén, J.G. Martin, T. Suni, T. Vesala, D. Loustau, B.E. Law, and E.J. Moors.
Photosynthesis drives anomalies in net carbon-exchange of pine forests at different latitudes.
Global Change Biology, 13(10):2110–2127, October 2007.

Mika Sulkava, Sebastiaan Luyssaert, Pasi Rautio, Ivan A. Janssens, and Jaakko Hollmén.
Modeling the effects of varying data quality on trend detection in environmental monitoring.
Ecological Informatics, 2(2):167–176, June 2007.

Mika Sulkava, Jarkko Tikka, and Jaakko Hollmén.
Sparse regression for analyzing the development of foliar nutrient concentrations in coniferous trees.
Ecological Modelling, 191(1):118–130, January 2006.

Sebastiaan Luyssaert, Mika Sulkava, Hannu Raitio, and Jaakko Hollmén.
Are N and S deposition altering the chemical composition of Norway spruce and Scots pine needles in Finland?
Environmental Pollution, 138(1):5–17, November 2005.

Sebastiaan Luyssaert, Mika Sulkava, Hannu Raitio, and Jaakko Hollmén.
Evaluation of forest nutrition based on large-scale foliar surveys: are nutrition profiles the way of the future?
Journal of Environmental Monitoring, 6(2):160–167, 2004.

Reviewed conference articles

Serafín Alonso, Manuel Domínguez, Miguel Angel Prada, Mika Sulkava, and Jaakko Hollmén.
Comparative analysis of power consumption in university buildings using envSOM.
In João Gama, Elizabeth Bradley, and Jaakko Hollmén, editors, Advances in Intelligent Data Analysis X: 10th International Symposium, IDA 2011, Proceedings, volume 7014 of Lecture Notes in Computer Science, pages 10–21, Porto, Portugal, October 2011. Springer-Verlag.

Jaakko Talonen and Mika Sulkava.
Analyzing parliamentary elections based on voting advice application data.
In João Gama, Elizabeth Bradley, and Jaakko Hollmén, editors, Advances in Intelligent Data Analysis X: 10th International Symposium, IDA 2011, Proceedings, volume 7014 of Lecture Notes in Computer Science, pages 340–351, Porto, Portugal, October 2011. Springer-Verlag.

Mark J. Brewer, Mika Sulkava, Harri Mäkinen, Mikko Korpela, Pekka Nöjd, and Jaakko Hollmén.
Logistic fitting method for detecting onset and cessation of tree stem radius increase.
In Hujun Yin, Wenjia Wang, and Victor Rayward-Smith, editors, Intelligent Data Engineering and Automated Learning – IDEAL 2011: 12th International Conference, Proceedings, volume 6936 of Lecture Notes in Computer Science, pages 204–211, Norwich, UK, September 2011. University of East Anglia, Springer-Verlag.

Serafín Alonso, Mika Sulkava, Miguel Angel Prada, Manuel Domínguez, and Jaakko Hollmén.
EnvSOM: a SOM algorithm conditioned on the environment for clustering and visualization.
In Jorma Laaksonen and Timo Honkela, editors, Advances in Self-Organizing Maps: 8th International Conference, WSOM 2011, Proceedings, volume 6731 of Lecture Notes in Computer Science, pages 61–70, Espoo, Finland, June 2011. Aalto University, Springer.

Mikko Korpela, Pekka Nöjd, Jaakko Hollmén, Harri Mäkinen, Mika Sulkava, and Pertti Hari.
Daily temperature and daily photosynthetic production vs. Scots pine growth.
In Kari Mielikäinen, Harri Mäkinen, and Mauri Timonen, editors, WorldDendro 2010. Abstracts of The 8th International Conference on Dendrochronology, page 261, Rovaniemi, Finland, June 2010. Finnish Forest Research Institute, Association for Tree-Ring Research, Tree Ring Society, Asian Dendrochronology Association, and IUFRO WP 5.01.07 Tree Ring Analysis, Finnish Forest Research Institute.

E. Canfora, D. Papale, S. Luyssaert, and M. Sulkava.
Does the European eddy flux tower network represent the climatic and ecophysiological diversity of europe?
In Arne Richter, editor, European Geosciences Union General Assembly 2009, volume 11 of Geophysical Research Abstracts, Vienna, Austria, April 2009. European Geosciences Union, Copernicus Publications. EGU2009-9154-3.

Mikko Korpela, Harri Mäkinen, Mika Sulkava, Pekka Nöjd, and Jaakko Hollmén.
Smoothed prediction of the onset of tree stem radius increase based on temperature patterns.
In Jean-François Boulicaut, Michael Berthold, and Tamás Horváth, editors, Discovery Science – 11th International Conference, DS 2008, Proceedings, volume 5255 of Lecture Notes in Artificial Intelligence, pages 100–111, Budapest, Hungary, October 2008. Springer-Verlag.

Mika Sulkava, Harri Mäkinen, Pekka Nöjd, and Jaakko Hollmén.
Automatic detection of onset and cessation of tree stem radius increase using dendrometer data and CUSUM charts.
In Amaury Lendasse, editor, European Symposium on Time Series Prediction – ESTSP'08, Proceedings, pages 77–86, Porvoo, Finland, September 2008. Helsinki University of Technology, Multiprint Oy / Otamedia.

Mika Sulkava, Pasi Rautio, and Jaakko Hollmén.
Combining Measurement Quality into Monitoring Trends in Foliar Nutrient Concentrations.
In Włodzisław Duch, Janusz Kacprzyk, Erkki Oja, and Sławomir Zadrożny, editors, Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005: 15th International Conference, Proceedings, Part II, volume 3697 of Lecture Notes in Computer Science, pages 761–767, Warsaw, Poland, September 2005. © Springer-Verlag.

Mika Sulkava, Jarkko Tikka, and Jaakko Hollmén.
Sparse regression for analyzing the development of foliar nutrient concentrations in coniferous trees.
In Sašo Džeroski, Bernard Ženko, and Marko Debeljak, editors, Proceedings of the Fourth International Workshop on Environmental Applications of Machine Learning (EAML 2004), pages 57–58, Bled, Slovenia, September/October 2004.

Mika Sulkava and Jaakko Hollmén.
Finding Profiles of Forest Nutrition by Clustering of the Self-Organizing Map.
In Proceedings of the Workshop on Self-Organizing Maps (WSOM'03), pages 243–248, Kitakyushu, Japan, September 2003.

Juha Vesanto, Mika Sulkava, and Jaakko Hollmén.
On the Decomposition of the Self-Organizing Map Distortion Measure.
In Proceedings of the Workshop on Self-Organizing Maps (WSOM'03), pages 11–16, Kitakyushu, Japan, September 2003.

Juha Vesanto and Mika Sulkava.
Distance matrix based clustering of the Self-Organizing Map.
In José R. Dorronsoro, editor, Artificial Neural Networks – ICANN 2002, International Conference, Proceedings, volume 2415 of Lecture Notes in Computer Science, pages 951–956, Madrid, Spain, August 2002. © Springer-Verlag.

Theses

Mika Sulkava.
Learning from environmental data: methods for analysis of forest nutrition time series.
D.Sc. thesis, Helsinki University of Technology, Dissertations in Computer and Information Science, Report D24, Espoo, Finland, January 2008.

Mika Sulkava.
Identifying spatial and temporal profiles from forest nutrition data.
Master's thesis, Helsinki University of Technology, Espoo, Finland, June 2003.

Mika Sulkava.
Nonidentiteettiongelma: Henkilöön vaikuttaminen ja hyvinvoinnin raja-arvot.
Bachelor's thesis, University of Helsinki, Finland, February 2011.

Other publications

Pekka Nöjd, M. Korpela, J. Hollmén, H. Mäkinen, M. Sulkava, and P. Hari.
Effects of daily temperature and photosynthetic production on growth variation of Scots pine in northern Finland.
In Eurodendro 2009 – European Workshop in Dendrochronology: Developments, Advances, Challenges, page 85, Cala Millor, Spain, October 2009. Swansea University, Manchester Metropolitan University.

Mika Sulkava.
Environmental informatics and data mining in analysis of CO₂ data.
In Novel Data Mining Strategies for Exploring Biogeochemical Cycles and Biosphere-Atmosphere Interactions – Workshop, pages 19–20, Jena, Germany, June 2009. Max Planck Institute for Biogeochemistry.

Mikko Korpela, Harri Mäkinen, Mika Sulkava, Pekka Nöjd, and Jaakko Hollmén.
Smoothed prediction of the onset of tree stem radius increase based on temperature patterns.
In Program and Abstracts, TIES 2008 – The 19th Annual Conference of The International Environmetrics Society, page 55, Kelowna, Canada, June 2008. The International Environmetrics Society, The University of British Columbia Okanagan.

Olli Simula, Jaakko Hollmén, Kimmo Raivio, Miki Sirola, Timo Similä, Mika Sulkava, Pasi Lehtimäki, Jarkko Tikka, Jukka Parviainen, Jaakko Talonen, Golan Lampi, Mikko Multanen, Tuomas Alhonnoro, and Risto Hakala.
Intelligent data engineering.
In K. Raivio, R. Vigário, and L. Koivisto, editors, Biennial report 2006–2007, chapter 15, pages 207–218. Laboratory of Computer and Information Science, Adaptive Informatics Research Centre, Helsinki University of Technology, Espoo, Finland, April 2008.

Mika Sulkava, Sebastiaan Luyssaert, Pasi Rautio, Ivan A. Janssens, and Jaakko Hollmén.
Quality of monitoring programmes is determined by the quality of the collected data.
In European Cooperation in Science and Technology – COST Strategic Workshop “Forest ecosystems in a changing environment: identifying future monitoring and research needs” Meeting Documents, page 61, Istanbul, Turkey, March 2008. European Cooperation in Science and Technology Domain on Forests, their Products and Services, Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries, Institute for World Forestry, Republic of Turkey, Ministry of Environment and Forestry, General Directorate of Forestry, International Union of Forest Research Organizations Section 7.01 Impacts of air pollution and climate change on forest ecosystems, European Commission Joint Research Centre, and European Environment Agency, Republic of Turkey, Ministry of Environment and Forestry, General Directorate of Forestry.

Päivi Merilä, John Derome, Sebastiaan Luyssaert, Mika Sulkava, Jaakko Hollmén, Kaisa Mustajärvi, and Pekka Nöjd.
How are N and S in deposition, in percolation water and in upper soil layers reflected in the chemical composition of needles in Finland?
In John Derome, Antti-Jussi Lindroos, and Tuire Kilponen, editors, Scientific Seminar on Forest Condition Monitoring and Ecosystem Functioning in Northern Europe under the Forest Focus and ICP Forests Programmes, Proceedings, volume 74 of Working Papers of the Finnish Forest Research Institute, pages 39–42, Vantaa, Finland, 2008. Finnish Forest Research Institute.

S. Luyssaert, I. Inglima, R. Ceulemans, P. Ciais, A. J. Dolman, J. Grace, J. Hollmén, B. E. Law, G. Matteucci, D. Papale, S. L. Piao, M. Reichstein, E.-D. Schulze, M. Sulkava, J. Tang, and I. A. Janssens.
Unravelling nitrogen deposition effects on carbon cycling in forests.
Eos, Transactions, American Geophysical Union, 88(52), December 2007. Fall Meeting Supplement, Abstract B32B-02.

Mika Sulkava, Harri Mäkinen, Pekka Nöjd, and Jaakko Hollmén.
CUSUM charts for detecting onset and cessation of xylem formation based on automated dendrometer data.
In Ivana Horová and Jiří Hřebíček, editors, TIES 2007 – 18th annual meeting of the International Environmetrics Society, Book of Abstracts, page 111, Mikulov, Czech Republic, August 2007. The International Environmetrics Society, Masaryk University.

Mika Sulkava.
Modeling how varying data quality affects the ability to detect trends in environmental time series.
In Veli Mäkinen, Greger Lindén, and Hannu Toivonen, editors, Summer School on Algorithmic Data Analysis (SADA 2007) and Annual Hecse Poster Session, Abstract proceedings, volume B-2007-4 of Series of Publications B, page 104, Helsinki, Finland, May/June 2007. University of Helsinki, Department of Computer Science, Helsinki University Printing House.

S. Luyssaert, M. Sulkava, H. Raitio, J. Hollmén, and P. Merilä.
Is N and S deposition altering the mineral nutrient composition of Norway spruce and Scots pine needles in Finland?
In Johannes Eichhorn, editor, Proceedings of Symposium: Forests in a Changing Environment – Results of 20 years ICP Forests Monitoring, volume 142 of Schriften aus der Forstlichen Fakultät der Universität Göttingen und der Nordwestdeutschen Forstlichen Versuchsanstalt, pages 80–81, Göttingen, Germany, 2007. J. D. Sauerländer's Verlag.

S. Luyssaert, I.A. Janssens, M. Sulkava, D. Papale, A.J. Dolman, M. Reichstein, T. Suni, J. Hollmén, T. Vesala, D. Loustau, B. Law, and E.J. Moors.
Photosynthesis drives interannual variability in net carbon-exchange of pine forests at different latitudes.
In Proceedings of the Open Science Conference on the GHG Cycle in the Northern Hemisphere, pages 86–87, Sissi-Lassithi, Greece, November 2006. CarboEurope, NitroEurope, CarboOcean, and Global Carbon Project, Max-Planck-Institute for Biogeochemistry.

Olli Simula, Jaakko Hollmén, Sampsa Laine, Kimmo Raivio, Miki Sirola, Pasi Lehtimäki, Timo Similä, Mika Sulkava, Jarkko Tikka, Jukka Parviainen, Teppo Marin, Golan Lampi, Mikko Multanen, Risto Hakala, and Petri Saarikko.
Intelligent data engineering.
In V. Könönen, K. Raivio, R. Vigário, and L. Koivisto, editors, Biennial report 2004–2005, chapter 11, pages 169–182. Laboratory of Computer and Information Science, Neural Networks Research Centre, Helsinki University of Technology, Espoo, Finland, April 2006.

Esa Alhoniemi, Johan Himberg, Jaakko Hollmén, Sampsa Laine, Pasi Lehtimäki, Kimmo Raivio, Timo Similä, Olli Simula, Miki Sirola, Mika Sulkava, Jarkko Tikka, and Juha Vesanto.
SOM in data mining.
In K. Puolamäki and L. Koivisto, editors, Biennial report 2002–2003, chapter 14, pages 171–178. Laboratory of Computer and Information Science, Neural Networks Research Centre, Helsinki University of Technology, Espoo, Finland, February 2004.

Esa Alhoniemi, Jaakko Hollmén, Johan Himberg, Sampsa Laine, Golan Lampi, Pasi Lehtimäki, Teppo Marin, Jukka Parviainen, Kimmo Raivio, Timo Similä, Olli Simula, Miki Sirola, Mika Sulkava, Jarkko Tikka, and Juha Vesanto.
Intelligent data engineering.
In K. Puolamäki and L. Koivisto, editors, Biennial report 2002–2003, chapter 15, pages 279–186. Laboratory of Computer and Information Science, Neural Networks Research Centre, Helsinki University of Technology, Espoo, Finland, February 2004.

Olli Simula, Jaakko Hollmén, Esa Alhoniemi, Juha Vesanto, Johan Himberg, Markus Siponen, Jussi Ahola, Juha Parhankangas, and Mika Sulkava.
Methods for effient utilization of SOM in data mining.
In K. Puolamäki and L. Koivisto, editors, Biennial report 2000–2001, chapter 15, pages 149–150. Laboratory of Computer and Information Science, Neural Networks Research Centre, Helsinki University of Technology, Espoo, Finland, April 2002.