World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
51
Citations
10221
World Ranking
4718
National Ranking
41

Overview

Dmitry Schepaschenko is affiliated with the International Institute for Applied Systems Analysis in Austria. Their research primarily focuses on environmental science, with particular attention to global and planetary change, nature and landscape conservation, ecology, atmospheric science, and environmental engineering as major subfields of study.

The scientist's work covers a range of topics related to forests and ecosystems. Key research themes include forest management and policy, remote sensing and LiDAR applications, forest ecology and management, fire effects on ecosystems, remote sensing in agriculture, forest ecology and biodiversity studies, as well as conservation, biodiversity, and resource management.

Dmitry Schepaschenko has participated in publishing recent papers in respected journals. Notable publications include:

  • The enduring world forest carbon sink (2024) published in Nature
  • The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations (2021) in Earth system science data
  • Areas of global importance for conserving terrestrial biodiversity, carbon and water (2021) in Nature Ecology & Evolution
  • Siberian carbon sink reduced by forest disturbances (2022) in Nature Geoscience
  • Russian forest sequesters substantially more carbon than previously reported (2021) in Scientific Reports

The scientist has co-authored frequently with several researchers including А. Shvidenko, Liudmila Mukhortova, Myroslava Lesiv, Linda See, and Florian Kraxner.

Dmitry Schepaschenko has published works in a range of venues, with the most frequent being Zenodo (CERN European Organization for Nuclear Research), Forests, SSRN Electronic Journal, Earth system science data, and Environmental Research Letters.

In addition to journal articles, Dmitry Schepaschenko authored a book titled Aboveground Woody Biomass Product Validation Good Practices Protocol published by Ghent University in 2021.

Best Publications

  • Boreal forest health and global change

    S. Gauthier;P. Bernier;T. Kuuluvainen;A. Z. Shvidenko

  • Mapping global cropland and field size

    Steffen Fritz;Linda See;Ian McCallum;Liangzhi You

  • The enduring world forest carbon sink

    Unknown

  • Geo-Wiki: An online platform for improving global land cover

    Steffen Fritz;Ian McCallum;Christian Schill;Christoph Perger

  • Integrated global assessment of the natural forest carbon potential

    Unknown

  • The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

    Maurizio Santoro;Oliver Cartus;Nuno Carvalhais;Nuno Carvalhais;Danaë M. A. Rozendaal

  • Carbon stock and density of northern boreal and temperate forests

    Martin Thurner;Christian Beer;Maurizio Santoro;Nuno Carvalhais

  • The number of tree species on Earth

    Unknown

  • An estimate of the terrestrial carbon budget of Russia using inventory based, eddy covariance and inversion methods

    A. J. Dolman;A. Shvidenko;D. Schepaschenko;P. Ciais

  • Climate Change and Wildfires in Russia

    A. Z. Shvidenko;A. Z. Shvidenko;D. G. Schepaschenko;D. G. Schepaschenko

  • The Importance of Consistent Global Forest Aboveground Biomass Product Validation

    L. Duncanson;J. Armston;M. Disney;V. Avitabile

  • Estimating the global distribution of field size using crowdsourcing.

    Myroslava Lesiv;Juan Carlos Laso Bayas;Linda See;Martina Duerauer

  • Forest growing stock volume of the northern hemisphere: Spatially explicit estimates for 2010 derived from Envisat ASAR

    Maurizio Santoro;André Beaudoin;Christian Beer;Oliver Cartus

  • A global dataset of crowdsourced land cover and land use reference data

    Steffen Fritz;Linda See;Christoph Perger;Ian McCallum

  • Tamm Review: Observed and projected climate change impacts on Russia’s forests and its carbon balance

    Sibyll Schaphoff;Christopher P.O. Reyer;Dmitry Schepaschenko;Dmitry Schepaschenko;Dieter Gerten

  • A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps

    Unknown

  • Ground Data are Essential for Biomass Remote Sensing Missions

    Jérôme Chave;Stuart J. Davies;Oliver L. Phillips;Simon L. Lewis;Simon L. Lewis

  • Development of a global hybrid forest mask through the synergy of remote sensing, crowdsourcing and FAO statistics

    Dmitry Schepaschenko;Dmitry Schepaschenko;Linda See;Myroslava Lesiv;Myroslava Lesiv;Myroslava Lesiv;Ian McCallum

  • Siberian carbon sink reduced by forest disturbances

    Unknown

  • A new hybrid land cover dataset for Russia: a methodology for integrating statistics, remote sensing and in situ information

    Dmitry Schepaschenko;Ian McCallum;Anatoly Shvidenko;Steffen Fritz

  • Building a hybrid land cover map with crowdsourcing and geographically weighted regression

    Linda See;Dmitry Schepaschenko;Myroslava Lesiv;Myroslava Lesiv;Ian McCallum

  • Spatial distribution of arable and abandoned land across former Soviet Union countries

    Myroslava Lesiv;Dmitry Schepaschenko;Dmitry Schepaschenko;Elena Moltchanova;Rostyslav Bun

  • Semi-empirical models for assessing biological productivity of Northern Eurasian forests

    Anatoly Shvidenko;Dmitry Schepaschenko;Sten Nilsson;Yuri Bouloui

  • Impact of wildfire in Russia between 1998-2010 on ecosystems and the global carbon budget

    A. Z. Shvidenko;A. Z. Shvidenko;D. G. Shchepashchenko;D. G. Shchepashchenko;E. A. Vaganov;E. A. Vaganov;A. I. Sukhinin

  • A global dataset of crowdsourced land cover and land use reference data (2011-2012)

    Steffen Fritz;Linda See;Christoph Perger;Ian McCallum

Frequent Co-Authors

Anatoly Shvidenko
Anatoly Shvidenko International Institute for Applied Systems Analysis
Florian Kraxner
Florian Kraxner International Institute for Applied Systems Analysis
Steffen Fritz
Steffen Fritz International Institute for Applied Systems Analysis
Ian McCallum
Ian McCallum International Institute for Applied Systems Analysis
Linda See
Linda See International Institute for Applied Systems Analysis
Michael Obersteiner
Michael Obersteiner University of Oxford
Maurizio Santoro
Maurizio Santoro Gamma Remote Sensing (Switzerland)
Sten Nilsson
Sten Nilsson International Institute for Applied Systems Analysis
Martin Herold
Martin Herold Wageningen University & Research
Sabine Fuss
Sabine Fuss International Institute for Applied Systems Analysis

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