The data products consist of four (4) global layers that include estimates of
1) growing stock volume (GSV, unit: m3/ha) for the year 2010 (raster dataset)
Definition: volume of all living trees more than 10 cm in diameter at breast height measured over bark from ground or stump height to a top stem diameter of 0 cm. Excludes: smaller branches, twigs, foliage, flowers, seeds, stump and roots (definition of FAO).
2) per-pixel of growing stock volume uncertainty expressed as standard error in m3/ha (raster dataset)
3) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) for the year 2010 (raster dataset)
Definition: the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots.
4) per-pixel estimates of above-ground biomass uncertainty expressed as standard error in Mg/ha (raster dataset)
The GSV estimates were obtained from spaceborne SAR (ALOS PALSAR, Envisat ASAR), optical (Landsat-7), LiDAR (ICESAT) and auxiliary datasets with multiple estimation procedures.
AGB was obtained from GSV with a set of Biomass Expansion and Conversion Factors (BCEF) following approaches to extend on ground estimates of wood density and stem-to-total biomass expansion factors to obtain a global raster dataset.
It is referred to the Algorithm Theoretical Basis Document for details on the EO datasets, the biomass retrieval algorithms and the estimation of the BCEF (see http://www.globbiomass.org)
The GSV and AGB data are available in form of tiles of 40 deg x 40 deg from this repository as well as through http://globbiomass.org/products/global-mapping/. Technical specifications can be found in the README file (see Further details)
Santoro, Maurizio; Cartus, Oliver; Mermoz, Stephane; Bouvet, Alexandre; Le Toan, Thuy; Carvalhais, Nuno; Rozendaal, Danae; Herold, Martin; Avitabile, Valerio; Quegan, Shaun; Carreiras, Joao; Rauste, Yrjö; Balzter, Heiko; Schmullius, Christiane C; Seifert, Frank Martin (2018): A detailed portrait of the forest aboveground biomass pool for the year 2010 obtained from multiple remote sensing observations. Geophysical Research Abstracts, 20, EGU2018-18932, https://meetingorganizer.copernicus.org/EGU2018/EGU2018-18932.pdf
2020-06-25T11:10:36 – Licence was changed to CC-BY (before: CC-BY-ND) on behalf of the author
174 data points