Items where IIASA Author is "Moltchanova, Elena"

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Number of items: 16.


Lesiv, M. ORCID:, Laso Bayas, J.C. ORCID:, See, L. ORCID:, Dürauer, M., Dahlia, D., Durando, N., Hazarika, R., Sahariah, P.K., Vakolyuk, M., Blyshchyk, V. et al. (2019). Estimating the Global Distribution of Field Size using Crowdsourcing. Global Change Biology 25 (1), 174-186. 10.1111/gcb.14492.

Lesiv, M. ORCID:, Schepaschenko, D. ORCID:, Moltchanova, E., Bun, R., Dürauer, M., Prishchepov, A.V., Schierhorn, F., Estel, S., Kuemmerle, T., Alcántara, C. et al. (2018). Spatial distribution of arable and abandoned land across former Soviet Union countries. Scientific Data 5, e180056. 10.1038/sdata.2018.56.

Lesiv, M. ORCID:, Moltchanova, E., Shchepashchenko, D. ORCID:, See, L. ORCID:, Shvidenko, A., Comber, A. & Fritz, S. (2016). Comparison of Data Fusion Methods Using Crowdsourced Data in Creating a Hybrid Forest Cover Map. Remote Sensing 8 (3), e261. 10.3390/rs8030261.

Folberth, C. ORCID:, Skalsky, R. ORCID:, Moltchanova, E., Balkovic, J. ORCID:, Azevedo, L., Obersteiner, M. ORCID: & van der Velde, M. (2016). Uncertainty in soil data can outweigh climate impact signals in crop yield simulations. Nature Communications 7, 10.1038/ncomms11872.

Fritz, S., See, L. ORCID:, McCallum, I. ORCID:, Bun, A., Moltchanova, E., Dürauer, M., Perger, C., Havlik, P. ORCID:, Mosnier, A., Schepaschenko, D. ORCID: et al. (2015). Mapping global cropland field size. Global Change Biology 21 (5), 1980-1992. 10.1111/gcb.12838.

McCallum, I. ORCID:, Franklin, O. ORCID:, Moltchanova, E., Merbold, L., Schmullius, C., Shvidenko, A., Schepaschenko, D. ORCID: & Fritz, S. (2013). Improved light and temperature responses for light-use-efficiency-based GPP models. Biogeosciences 10 (10), 6577-6590. 10.5194/bg-10-6577-2013.

Franklin, O. ORCID:, Moltchanova, E., Kraxner, F., Seidl, R., Bottcher, H., Rokityiansky, D. & Obersteiner, M. ORCID: (2012). Large-scale forest modeling: Deducing stand density from inventory data. International Journal of Forestry Research 934974 10.1155/2012/934974.

Moltchanova, E., Khabarov, N. ORCID:, Obersteiner, M. ORCID:, Ehrlich, D. & Moula, M. (2011). The value of rapid damage assessment for efficient earthquake response. Safety Science 49 (8), 1164-1171. 10.1016/j.ssci.2011.03.008.

Khabarov, N. ORCID:, Moltchanova, E. & Obersteiner, M. ORCID: (2008). Valuing weather observation systems for forest fire management. IEEE Systems Journal (J-SYS) 2 (3), 349-357. 10.1109/JSYST.2008.925979.

Moltchanova, E.V., Pitkäniemi, J. & Haapala, L. (2005). Potts model for haplotype associations. BMC Genetics 6 (Sup.1), S64. 10.1186/1471-2156-6-S1-S64.

Book Section

Obersteiner, M. ORCID:, Balkovic, J. ORCID:, Böttcher, H., Bouma, J., Fritz, S., Fuss, S., Havlik, P. ORCID:, Heumesser, C., Hochrainer-Stigler, S., Jantke, K. et al. (2017). The Value of Global Earth Observations. In: Satellite Earth Observations and Their Impact on Society and Policy. Eds. Onoda, M. & Young, O.R., pp. 137-142 Singapore: Springer. ISBN 978-981-10-3713-9 10.1007/978-981-10-3713-9_12.

Chladna, Z., Moltchanova, E. & Obersteiner, M. ORCID: (2006). Prevention of surprise. In: Extreme Events in Nature and Society: The Frontiers Collection, Part III. Eds. Albeverio, S., Jentsch, V. & Kantz, H., Berlin: Springer-Verlag. ISBN 3-540-28610-1 10.1007/3-540-28611-X_14.


Moltchanova, E. (2001). Image Restoration from Multiple Sources. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-01-045

Conference or Workshop Item

Lesiv, M. ORCID:, Moltchanova, E., Schepaschenko, D. ORCID:, See, L. ORCID:, Shvidenko, A. & Fritz, S. (2015). Comparison of data fusion methods for generating a forest cover map. In: XIV World Forestry Congress, 7-11 September 2015, Durban, South Africa.

Khabarov, N. ORCID:, Moltchanova, E. & Obersteiner, M. ORCID: (2009). Value of weather observations for reduction of forest fire impact on population. In: Proceedings from the 33rd International Symposium on Remote Sensing of Environment (ISRSE-33) "Sustaining the Millennium Development Goals", 4-8 May 2009.


Moltchanova, E. (2005). Application of Bayesian Spatial Methods in Health and Population Studies Using Registry Data. PhD Thesis; Dept. of Mathematics and Statistics, University of Jyvaeskylae, December 2005, Jyvaeskylae, Finland [2005]

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