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Dataset

 

ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017 and 2018, v3

Update Frequency: Not Planned
Latest Data Update: 2021-10-11
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2021-11-25
DOI Publication Date: 2021-11-26
Download Stats: last 12 months
Dataset Size: 2.92K Files | 174GB
  Citations: 1
This dataset has been superseded. See Latest Version here
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.

Citable as:  Santoro, M.; Cartus, O. (2021): ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017 and 2018, v3. NERC EDS Centre for Environmental Data Analysis, 26 November 2021. doi:10.5285/5f331c418e9f4935b8eb1b836f8a91b8. https://dx.doi.org/10.5285/5f331c418e9f4935b8eb1b836f8a91b8
Abbreviation: Not defined
Keywords: ESA, CCI, Biomass

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
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: https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_biomass_terms_and_conditions_v2.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
File Format:
Data are netCDF and geotiff formatted.

Related Documents

 ESA CCI Biomass project website
 Project documentation for Biomass CCI
 Product User Guide
 Algorithm Theoretical Basis Document

Citations: 1

The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.

Málaga, N., de Bruin, S., McRoberts, R. E., Arana Olivos, A., de la Cruz Paiva, R., Durán Montesinos, P., Requena Suarez, D., & Herold, M. (2022). Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map. International Journal of Applied Earth Observation and Geoinformation, 115, 103102. https://doi.org/10.1016/j.jag.2022.103102

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

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
Coverage
Temporal Range
Start time:
2010-01-01T00:00:00
End time:
2020-12-31T23:59:59
Geographic Extent

 
90.0000°
  
-180.0000°
  
180.0000°
 
-90.0000°
  
Related parties
Authors (2)
Publishers (1)