Articles | Volume 14, issue 11
https://doi.org/10.5194/essd-14-4967-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-4967-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
11 Nov 2022
Data description paper |
| 11 Nov 2022
| 11 Nov 2022
SiDroForest: a comprehensive forest inventory of Siberian boreal forest investigations including drone-based point clouds, individually labeled trees, synthetically generated tree crowns, and Sentinel-2 labeled image patches
Femke van Geffen
CORRESPONDING AUTHOR
Alfred Wegener Institute (AWI) Helmholtz Centre for Polar and Marine Research, Research Unit Potsdam, Germany
University of Potsdam, Institute of Biochemistry and Biology, Potsdam, Germany
Birgit Heim
Alfred Wegener Institute (AWI) Helmholtz Centre for Polar and Marine Research, Research Unit Potsdam, Germany
Frederic Brieger
Alfred Wegener Institute (AWI) Helmholtz Centre for Polar and Marine Research, Research Unit Potsdam, Germany
Carleton University, Department of Geography and Environmental Studies Ottawa, Canada
Rongwei Geng
Alfred Wegener Institute (AWI) Helmholtz Centre for Polar and Marine Research, Research Unit Potsdam, Germany
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
University of the Chinese Academy of Sciences, Beijing, China
Iuliia A. Shevtsova
Alfred Wegener Institute (AWI) Helmholtz Centre for Polar and Marine Research, Research Unit Potsdam, Germany
University of Potsdam, Institute of Biochemistry and Biology, Potsdam, Germany
Luise Schulte
Alfred Wegener Institute (AWI) Helmholtz Centre for Polar and Marine Research, Research Unit Potsdam, Germany
University of Potsdam, Institute of Biochemistry and Biology, Potsdam, Germany
Simone M. Stuenzi
Alfred Wegener Institute (AWI) Helmholtz Centre for Polar and Marine Research, Research Unit Potsdam, Germany
Humboldt-Universität zu Berlin, Geography Department, Unter den Linden, Berlin, Germany
Nadine Bernhardt
Alfred Wegener Institute (AWI) Helmholtz Centre for Polar and Marine Research, Research Unit Potsdam, Germany
Julius Kühn-Institut Bundesforschungsinstitut für Kulturpflanzen, Quedlinburg, Germany
Elena I. Troeva
Institute for Biological Problems of the Cryolithozone, Russian Academy of Sciences, Siberian Branch, Yakutsk, Russia
Luidmila A. Pestryakova
North-Eastern Federal University of Yakutsk, Institute of Natural Sciences (NEFU), Yakutsk, Russia
Evgenii S. Zakharov
Institute for Biological Problems of the Cryolithozone, Russian Academy of Sciences, Siberian Branch, Yakutsk, Russia
North-Eastern Federal University of Yakutsk, Institute of Natural Sciences (NEFU), Yakutsk, Russia
Bringfried Pflug
German Aerospace Center (DLR), Berlin, Germany
Ulrike Herzschuh
Alfred Wegener Institute (AWI) Helmholtz Centre for Polar and Marine Research, Research Unit Potsdam, Germany
University of Potsdam, Institute of Biochemistry and Biology, Potsdam, Germany
University of Potsdam, Institute of Environmental Science and Geography, Potsdam, Germany
Alfred Wegener Institute (AWI) Helmholtz Centre for Polar and Marine Research, Research Unit Potsdam, Germany
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Cited
7 citations as recorded by crossref.
- OpenForest: a data catalog for machine learning in forest monitoring A. Ouaknine et al. 10.1017/eds.2024.53
- Boreal tree species diversity increases with global warming but is reversed by extremes Y. Xi et al. 10.1038/s41477-024-01794-w
- Breve revisión sobre inventario automatizado de señalética con drones G. Satama Bermeo et al. 10.17979/ja-cea.2024.45.10907
- С дроном за мамонтами, "Природа" Е. Петухова et al. 10.7868/S0032874X23070013
- Ecoregion-wise fractional mapping of tree functional composition in temperate mixed forests with sentinel data: Integrating time-series spectral and radar data Z. Lin et al. 10.1016/j.rse.2024.114026
- Modern Pollen Assemblages From Lake Sediments and Soil in East Siberia and Relative Pollen Productivity Estimates for Major Taxa R. Geng et al. 10.3389/fevo.2022.837857
- Holocene wildfire and vegetation dynamics in Central Yakutia, Siberia, reconstructed from lake-sediment proxies R. Glückler et al. 10.3389/fevo.2022.962906
5 citations as recorded by crossref.
- OpenForest: a data catalog for machine learning in forest monitoring A. Ouaknine et al. 10.1017/eds.2024.53
- Boreal tree species diversity increases with global warming but is reversed by extremes Y. Xi et al. 10.1038/s41477-024-01794-w
- Breve revisión sobre inventario automatizado de señalética con drones G. Satama Bermeo et al. 10.17979/ja-cea.2024.45.10907
- С дроном за мамонтами, "Природа" Е. Петухова et al. 10.7868/S0032874X23070013
- Ecoregion-wise fractional mapping of tree functional composition in temperate mixed forests with sentinel data: Integrating time-series spectral and radar data Z. Lin et al. 10.1016/j.rse.2024.114026
2 citations as recorded by crossref.
- Modern Pollen Assemblages From Lake Sediments and Soil in East Siberia and Relative Pollen Productivity Estimates for Major Taxa R. Geng et al. 10.3389/fevo.2022.837857
- Holocene wildfire and vegetation dynamics in Central Yakutia, Siberia, reconstructed from lake-sediment proxies R. Glückler et al. 10.3389/fevo.2022.962906
Latest update: 06 May 2025
Short summary
SiDroForest is an attempt to remedy data scarcity regarding vegetation data in the circumpolar region, whilst providing adjusted and labeled data for machine learning and upscaling practices. SiDroForest contains four datasets that include SfM point clouds, individually labeled trees, synthetic tree crowns and labeled Sentinel-2 patches that provide insights into the vegetation composition and forest structure of two important vegetation transition zones in Siberia, Russia.
SiDroForest is an attempt to remedy data scarcity regarding vegetation data in the circumpolar...
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