Published August 12, 2020 | Version 1

Map of growing stock volume of Russian forests for the year 2014

  • 1. IIASA
  • 2. School of Mathematics and Statistics, University of Canterbury
  • 3. FSBI Roslesinforg, Federal Forestry Agency
  • 4. Center for Forest Ecology and Productivity of the Russian Academy of Sciences
  • 5. FSBI Roslesinforg
  • 6. Gamma Remote Sensing

Description

The data products consist of two layers that include estimates of
  1. growing stock volume (GSV, unit: m3/ha) for the year 2014 (raster data set)
Definition: volume of all living trees more than 6 cm in diameter at breast height measured over bark from ground to a top stem diameter of 0 cm. Excludes: branches, twigs, foliage, flowers, seeds, stump and roots.
   2. per-pixel of growing stock volume uncertainty expressed as standard error in m3/ha (raster data set)

The maps have a spatial resolution of 3.2 arc sec (ca 0.5 ha for Russia).

The GSV estimates were obtained by calibration of two remote sensing-based maps with ca 8000 ground plots from the National Forest Inventory:
•    The global GlobBiomass map of GSV (Santoro, 2018; Santoro et al., 2020) is based on synthetic aperture radar (SAR) observations acquired around the year 2010 and has a spatial resolution of 100m, units m³ ha-1.
•    The global Climate Change Initiative (CCI) Biomass map of AGB (Santoro and Cartus, 2019) is also based on SAR data, acquired in 2017 and has a spatial resolution of 100m, units t ha-1.

The methodology, input data and software are published here:

Schepaschenko, D., Moltchanova, E., Fedorov, S. et al. Russian forest sequesters substantially more carbon than previously reported. Sci Rep 11, 12825 (2021). https://doi.org/10.1038/s41598-021-92152-9 

Files

GSV_RUS.zip

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Additional details

References