Elena Plekhanova
Table of contents
Research interests
Spatial ecology and remote sensing; integration of field, satellite, and climate data; machine learning and deep learning applications in ecology; vegetation classification and change detection; big data analysis; Arctic biodiversity and ecosystem functioning; species distribution modelling.
CV
Education and professional positions
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2026 - present |
Senior Researcher, Department of Evolutionary Biology and Environmental Studies, University of Zurich, Switzerland |
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2024 - 2026 |
Postdoctoral researcher, Land Change Science, WSL, Switzerland |
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2022 - 2023 |
Bridging Researcher (project-based), Department of Evolutionary Biology and Environmental Studies, University of Zurich, Switzerland |
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2018 - 2022 |
Ph.D in Remote Sensing and Ecology, Department of Evolutionary Biology and Environmental Studies, University of Zurich, Switzerland |
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2015 - 2017 |
M.Sc. in Bioinformatics, Applied Mathematics, Peter the Great St.Petersburg Polytechnic University, Russia |
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2011 - 2015 |
B.Sc. in Mathematics, Statistics and Probability Theory, Saint Petersburg State University, Russia |
Selected publications
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E Plekhanova, D Robert, J Dollinger, E Arens, P Brun, JD Wegner, N Zimmermann
SSL4Eco: A Global Seasonal Dataset for Geospatial Foundation Models in Ecology (2025)
IEEE CVPR Proceedings 2025DOI: 10.48550/arXiv.2504.18256 -
C. Akandil, E. Plekhanova, N. Rietze, J. Oehri, M. Roman, Z. Wang, V. Radeloff, G. Schaepman-Strub
Artificial light at night reveals hotspots and rapid development of industrial activity in the Arctic (2024) PNAS DOI: 10.1073/pnas.2322269121 -
Vitalii Zemlianskii, Ksenia Ermokhina, Gabriela Schaepman‐Strub, Nadezhda Matveyeva, Elena Troeva, Igor Lavrinenko, Mikhail Telyatnikov, Igor Pospelov, Natalia Koroleva, Nadezhda Leonova, Olga Khitun, Donald Walker, Amy Breen, Nikita Kadetov, Olga Lavrinenko, Tatiana Ivleva, Sergey Kholod, Nataliia Petrzhik, Yakov Gunin, Maria Kurysheva, Anna Lapina, Denis Korolev, Ekaterina Kudr, Elena Plekhanova
Russian Arctic Vegetation Archive—A new database of plant community composition and environmental conditions (2023) Global Ecology and Biogeography DOI: 10.1111/geb.13724 -
E Plekhanova, JS Kim, J Oehri, A Erb, C Schaaf, G Schaepman-Strub
Mid-summer snow-free albedo across the Arctic tundra was mostly stable or increased over the past two decades (2022) Environmental Research Letters DOI: 10.1088/1748-9326/aca5a1 -
Jacqueline Oehri, Gabriela Schaepman-Strub, Jin-Soo Kim, Raleigh Grysko, Heather Kropp, Inge Grünberg, Vitalii Zemlianskii, Oliver Sonnentag, Eugénie S Euskirchen, Merin Reji Chacko, Giovanni Muscari, Peter D Blanken, Joshua F Dean, Alcide Di Sarra, Richard J Harding, Ireneusz Sobota, Lars Kutzbach, Elena Plekhanova, Aku Riihelä, Julia Boike, Nathaniel B Miller, Jason Beringer, Efrén López-Blanco, Paul C Stoy, Ryan C Sullivan, Marek Kejna, Frans-Jan W Parmentier, John A Gamon, Mikhail Mastepanov, Christian Wille, Marcin Jackowicz-Korczynski, Dirk N Karger, William L Quinton, Jaakko Putkonen, Dirk Van As, Torben R Christensen, Maria Z Hakuba, Robert S Stone, Stefan Metzger, Baptiste Vandecrux, Gerald V Frost, Martin Wild, Birger Hansen, Daniela Meloni, Florent Domine, Mariska Te Beest, Torsten Sachs, Aram Kalhori, Adrian V Rocha, Scott N Williamson, Sara Morris, Adam L Atchley, Richard Essery, Benjamin RK Runkle, David Holl, Laura D Riihimaki, Hiroki Iwata, Edward AG Schuur, Christopher J Cox, Andrey A Grachev, Joseph P McFadden, Robert S Fausto, Mathias Göckede, Masahito Ueyama, Norbert Pirk, Gijs De Boer, M Syndonia Bret-Harte, Matti Leppäranta, Konrad Steffen, Thomas Friborg, Atsumu Ohmura, Colin W Edgar, Johan Olofsson, Scott D Chambers
Vegetation type is an important predictor of the arctic summer land surface energy budget (2022) Nature communicationsDOI: 10.1038/s41467-022-34049-3
