GlobBiomass - global datasets of forest biomass
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
| Publicado: |
PANGAEA
2018
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| _version_ | 1867171010905636864 |
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| author | Santoro, Maurizio |
| author_facet | Santoro, Maurizio |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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) |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_894711 |
| institution | PANGAEA |
| language | en |
| publishDate | 2018 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | GlobBiomass - global datasets of forest biomass Santoro, Maurizio File name; File size; Uniform resource locator/link to file 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) |
| title | GlobBiomass - global datasets of forest biomass |
| topic | File name; File size; Uniform resource locator/link to file |
| url | https://doi.org/10.1594/PANGAEA.894711 |