Published June 1, 2018 | Version v1
Dataset Open

Map of Russian forest for the year 2009

Creators

  • 1. International Institute for Applied Systems Analysis, A-2361 Laxenburg, Austria
  • 2. School of Mathematics and Statistics, University of Canterbury, Christchurch 8041, New Zealand

Description

The map of Russian forest for the year 2009 is a part of Integrated Land Information System (ILIS) for Russia (Gordov et al., 2013). It contains a land cover map (Schepaschenko 2011, 2015) and associated forest data that are based on the State Forest Register (SFR). Downscaling of the SFR regional data was accomplished using a multi-sensor remote sensing approach, geographically weighted regression and reference data obtained using visual interpretation of very high resolution imagery (Schepaschenko et al., 2019). The map contains the spatial distribution of the forest parameters including the major tree species, the average age, the relative stocking, site index, and biomass conversion factors (Schepaschenko et al., 2018).

The data base has spatial resolution of 5 arc second (or ca 150 m) and contains following fields:

ID_FOR - unique ID of forest
SPEC_MOD - tree species 
AGE - average forest age
SI - site index
RS - relative stocking (tree density)
GS_ha - growing stock, m3/ha
bef_mn - biomass expansion factor (BEF)
bef_sd - BEF standard deviation
bcef_mn - biomass conversion and expansion factor (BCEF)
bcef_sd - BCEF standard deviation
RtS_mn - root-to-shoot ratio (R:S)
RtS_sd - R:S standard deviation

 

How to cite:

Schepaschenko et al. (2011) https://doi.org/10.1080/1747423X.2010.511681

Schepaschenko et al (2015) https://doi.org/10.1134/S1995425515070136  

Schepaschenko et al (2018).  https://doi.org/10.3390/f9060312.

 

Files

BEF_RUS.zip

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Additional details

References

  • Gordov, E.P.; Bryant, K.; Bulygina, O.N.; Csiszar, I.; Eberle, J.; Fritz, S.; Gerasimov, I.; Gerlach, R.; Hese, S.; Kraxner, F.; et al. Development of Information-Computational Infrastructure for Environmental Research in Siberia as a Baseline Component of the Northern Eurasia Earth Science Partnership Initiative (NEESPI) Studies. In Regional Environmental Changes in Siberia and Their Global Consequences; Springer Environmental Science and Engineering; Springer: New York, NY, USA, 2013; pp. 19–56. ISBN 978-94-007-4569-8.
  • Schepaschenko, D.; McCallum, I.; Shvidenko, A.; Fritz, S.; Kraxner, F.; Obersteiner, M. A new hybrid land cover dataset for Russia: A methodology for integrating statistics, remote sensing and in situ information. J. Land Use Sci. 2011, 6, 245–259. https://doi.org/10.1080/1747423X.2010.511681
  • Schepaschenko, D.; Shvidenko, A.Z.; Lesiv, M.Y.; Ontikov, P.V.; Shchepashchenko, M.V.; Kraxner, F. Estimation of forest area and its dynamics in Russia based on synthesis of remote sensing products. Contemp. Probl. Ecol. 2015, 8, 811–817. https://doi.org/10.1134/S1995425515070136
  • Schepaschenko, D. , Moltchanova, E., Shvidenko, A., Blyshchyk, V., Dmitriev, E., Martynenko, O., See, L. , & Kraxner, F. (2018). Improved Estimates of Biomass Expansion Factors for Russian Forests. Forests 9 (6) e312. https://doi.org/10.3390/f9060312.
  • Schepaschenko, D. , See, L. , Lesiv, M. , Bastin, J.-F., Mollicone, D., Tsendbazar, N.-E., Bastin, L., McCallum, I. , et al. (2019). Recent Advances in Forest Observation with Visual Interpretation of Very High-Resolution Imagery. Surveys in Geophysics 40 (4) 839-862. https://doi.org/10.1007/s10712-019-09533-z.