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Overview

This website provides maps of forest growing stock volume and above-ground biomass derived from Earth Observation data in the framework of ESA's GlobBiomass project.

The work was supported by the European Space Agency (ESA) within the Data User Element (DUE) project GlobBiomass (ESRIN contract No. 4000113100/14/I-NB).

The maps are provided free of charge to encourage further research in the field of forest parameter retrieval and investigations that require spatially explicit information on forest parameters.

NOTE: Users should consider that the maps do not provide exact values at the level of a single pixel (1 hectare) or a few pixels. Care needs to be taken in areas of strong topography because of the viewing effects on the Earth Observation data.

Please, refer to the data producer for any questions and comments (see end of this webpage).


Data products

The data products consist of global datasets including estimates of

- growing stock volume (GSV, unit: m3/ha) for the year 2010

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).

A separate data layer is provided with per-pixel uncertainty expressed as standard error in m3/ha.

- above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) for the year 2010

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.

A separate data layer is provided with per-pixel uncertainty expressed as standard error in Mg/ha.


Citation

Dataset

Santoro, M., Cartus, O., Mermoz, S., Bouvet, A., Le Toan, T., Carvalhais, N., Rozendaal, D., Herold, M., Avitabile, V., Quegan, S., Carreiras, J., Rauste, Y., Balzter, H., Schmullius, C., Seifert, F.M., 2018, GlobBiomass global above-ground biomass and growing stock volume datasets, available on-line at http://globbiomass.org/products/global-mapping

or

Santoro, M. et al. (2018): GlobBiomass - global datasets of forest biomass. PANGAEA, https://doi.org/10.1594/PANGAEA.894711

Literature

Santoro, M., Cartus, O., Mermoz, S., Bouvet, A., Le Toan, T., Carvalhais, N., Rozendaal, D., Herold, M., Avitabile, V., Quegan, S., Carreiras, J., Rauste, Y., Balzter, H., Schmullius, C., Seifert, F. M., "A detailed portrait of the forest aboveground biomass pool for the year 2010 obtained from multiple remote sensing observations," Geophysical Research Abstracts, vol. 20, pp. EGU2018-18932, EGU General Assembly 2018, 2018.


Data Download

The AGB and GSV datasets are provided in the form of 40° x 40° tiles. In the overview map below, links are provided that allow for downloading AGB and GSV maps for individual tiles.

NOTE: The download of either the AGB or the GSV dataset also includes the corresponding uncertainty layer.


The datasets are distributed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International license. Any usage of the datasets needs to be appropriately credited and duly cited. Modifications in any reasonable manner are allowed, but not in any way that suggests the licensor endorses you or your use. Use of the datasets for commercial purposes is not allowed. Modified material after remixing, transforming or building upon may not be distributed.

Full dataset

The full datasets (29 tiles) can be downloaded by using this Python script

- To download the global AGB and uncertainty maps (NOTE: 23 GB of data), download the script and run the following command

globbiomass_download.py -m AGB -o $output_path

- To download the global GSV and uncertainty maps (NOTE: 23 GB of data), download the script and run the following command

globbiomass_download.py -m GSV -o $output_path

To create a seamless mosaic, e.g., for the AGB dataset, use the gdalbuildvrt command of the GDAL tools

gdalbuildvrt AGB.vrt */*agb.tif


Individual 40° x 40° tiles

Individual 40° x 40° tiles of the global GSV and AGB data can be downloaded by clicking on the corresponding link below each tile.

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

 

 
 
 
 
 
 
 

 

 

 
 

 

 

 

 

 

 

README file

Please make sure you read the technical specifications of the datasets to get acquainted with its features. The README file can be downloaded following this link: link.


Contact

For questions, feedback and data-related issues, please contact

Maurizio Santoro

GAMMA Remote Sensing AG

Worbstrasse 225

3073 Gümligen

Switzerland


Phone: +41 31 951 70 05

Fax: +41 31 951 70 08

Email: santoro@gamma-rs.ch