Santoro, Maurizio (2018): GlobBiomass - global datasets of forest biomass [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.894711
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
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)
Related to:
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
Further details:
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File name | File name | Santoro, Maurizio | |||
| 2 | File size | File size | kByte | Santoro, Maurizio | of zip file | |
| 3 | Uniform resource locator/link to file | URL file | Santoro, Maurizio |
Change history:
2020-06-25T11:10:36 – Licence was changed to CC-BY (before: CC-BY-ND) on behalf of the author
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
174 data points
Data
| 1 File name | 2 File size [kByte] | 3 URL file |
|---|---|---|
| N00E020_agb | 1343243.857 | N00E020_agb.zip |
| N00E020_gsv | 1367291.949 | N00E020_gsv.zip |
| N00E060_agb | 2592.757 | N00E060_agb.zip |
| N00E060_gsv | 2700.540 | N00E060_gsv.zip |
| N00E100_agb | 537076.462 | N00E100_agb.zip |
| N00E100_gsv | 546328.906 | N00E100_gsv.zip |
| N00E140_agb | 480329.233 | N00E140_agb.zip |
| N00E140_gsv | 494777.980 | N00E140_gsv.zip |
| N00W020_agb | 426435.190 | N00W020_agb.zip |
| N00W020_gsv | 431384.698 | N00W020_gsv.zip |
| N00W060_agb | 1429535.271 | N00W060_agb.zip |
| N00W060_gsv | 1452981.961 | N00W060_gsv.zip |
| N00W100_agb | 1220619.835 | N00W100_agb.zip |
| N00W100_gsv | 1244501.331 | N00W100_gsv.zip |
| N00W180_agb | 1442.998 | N00W180_agb.zip |
| N00W180_gsv | 1412.479 | N00W180_gsv.zip |
| N40E020_agb | 754353.524 | N40E020_agb.zip |
| N40E020_gsv | 761730.336 | N40E020_gsv.zip |
| N40E060_agb | 613064.505 | N40E060_agb.zip |
| N40E060_gsv | 629211.457 | N40E060_gsv.zip |
| N40E100_agb | 1221215.889 | N40E100_agb.zip |
| N40E100_gsv | 1295692.106 | N40E100_gsv.zip |
| N40E140_agb | 17285.306 | N40E140_agb.zip |
| N40E140_gsv | 18502.803 | N40E140_gsv.zip |
| N40W020_agb | 938725.257 | N40W020_agb.zip |
| N40W020_gsv | 947985.347 | N40W020_gsv.zip |
| N40W060_agb | 199532.228 | N40W060_agb.zip |
| N40W060_gsv | 202510.476 | N40W060_gsv.zip |
| N40W100_agb | 1469053.047 | N40W100_agb.zip |
| N40W100_gsv | 1511694.102 | N40W100_gsv.zip |
| N40W140_agb | 235099.835 | N40W140_agb.zip |
| N40W140_gsv | 241921.195 | N40W140_gsv.zip |
| N40W180_agb | 3596.168 | N40W180_agb.zip |
| N40W180_gsv | 3763.067 | N40W180_gsv.zip |
| N80E020_agb | 1899127.800 | N80E020_agb.zip |
| N80E020_gsv | 2081246.809 | N80E020_gsv.zip |
| N80E060_agb | 1607137.022 | N80E060_agb.zip |
| N80E060_gsv | 1762817.081 | N80E060_gsv.zip |
| N80E100_agb | 2041178.341 | N80E100_agb.zip |
| N80E100_gsv | 2237281.209 | N80E100_gsv.zip |
| N80E140_agb | 586497.212 | N80E140_agb.zip |
| N80E140_gsv | 629055.095 | N80E140_gsv.zip |
| N80W020_agb | 932518.598 | N80W020_agb.zip |
| N80W020_gsv | 994369.199 | N80W020_gsv.zip |
| N80W060_agb | 78152.885 | N80W060_agb.zip |
| N80W060_gsv | 82665.225 | N80W060_gsv.zip |
| N80W100_agb | 1450581.871 | N80W100_agb.zip |
| N80W100_gsv | 1533808.460 | N80W100_gsv.zip |
| N80W140_agb | 1649406.174 | N80W140_agb.zip |
| N80W140_gsv | 1777223.576 | N80W140_gsv.zip |
| N80W180_agb | 404703.315 | N80W180_agb.zip |
| N80W180_gsv | 434520.574 | N80W180_gsv.zip |
| S40E140_agb | 70271.588 | S40E140_agb.zip |
| S40E140_gsv | 74846.972 | S40E140_gsv.zip |
| S40W060_agb | 1091.284 | S40W060_agb.zip |
| S40W060_gsv | 1071.502 | S40W060_gsv.zip |
| S40W100_agb | 120953.410 | S40W100_agb.zip |
| S40W100_gsv | 127824.039 | S40W100_gsv.zip |