Dataset
ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017 and 2018, v3
Abstract
This dataset comprises estimates of forest above-ground biomass for the years 2010, 2017 and 2018. They are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisat’s ASAR instrument and JAXA’s Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team.
This release of the data is version 3. Compared to version 2, this is a consolidated version of the Above Ground Biomass (AGB) maps. This version also includes a preliminary estimate of AGB changes for two epochs.
The data products consist of two (2) global layers that include estimates of:
1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots
2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset)
In addition, files describing the AGB change between 2018 and the other two years are provided (labelled as 2018_2010 and 2018_2017). These consist of two sets of maps: the standard deviation of the AGB change and a quality flag of the AGB change. Note that the change itself can be simply computed as the difference between two AGB maps, so is not provided directly.
Data are provided in both netcdf and geotiff format.
Details
Previous Info: |
No news update for this record
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Previously used record identifiers: |
No related previous identifiers.
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Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://artefacts.ceda.ac.uk/licences/specific_licences/esacci_biomass_terms_and_conditions.pdf. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
Data lineage: |
Data was created by the Biomass CCI team. |
Data Quality: |
For information on the quality of the data see the documentation and website for the Biomass CCI
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File Format: |
Data are netCDF and geotiff formatted.
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Process overview
Instrument/Platform pairings
Phased Array type-L band Synthetic Aperture Radar (PALSAR) | Deployed on: Advanced Land Observing Satellite (ALOS) |
ENVISAT ASAR | Deployed on: Envisat |
PALSAR-2 | Deployed on: ALOS-2 |
Sentinel 1 Synthetic Aperture Radar (SAR) | Deployed on: Sentinel 1A |
Computation Element: 1
Title | The ESA Biomass Climate Change Initiative above ground biomass retrieval algorithm, v3.0 |
Abstract | For information on the derivation of the Biomass CCI data, please see the ATBD (Algorithm Theoretical Baseline Document). |
Input Description | None |
Output Description | None |
Software Reference | None |
Output Description | None |
- units: Mg/ha
- long_name: Above-ground biomass
- var_id: agb
- names: Above-ground biomass
- units: Mg/ha
- long_name: Above-ground biomass change quality flag
- var_id: diff_qf
- names: Above-ground biomass change quality flag
- units: Mg/ha
- long_name: Above-ground biomass change standard_deviation
- var_id: diff_sd
- names: Above-ground biomass change standard_deviation
- long_name: Above-ground biomass standard_error
- units: Mg/ha
- var_id: agb_se
- names: Above-ground biomass standard_error
- var_id: crs
- long_name: CRS definition
- names: CRS definition
- var_id: lat_bnds
- var_id: lon_bnds
- var_id: time_bnds
Co-ordinate Variables
- units: degrees_north
- standard_name: latitude
- var_id: lat
- long_name: WGS84 latitude coordinate
- names: latitude, WGS84 latitude coordinate
- units: degrees_east
- standard_name: longitude
- var_id: lon
- long_name: WGS84 longitude coordinate
- names: longitude, WGS84 longitude coordinate
- standard_name: time
- var_id: time
- long_name: single-year period
- names: time, single-year period
Temporal Range
2010-01-01T00:00:00
2020-12-31T23:59:59
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |