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Dataset

 

ESA Fire Climate Change Initiative (Fire_cci): Small Fire Database (SFD) Burned Area grid product for Sub-Saharan Africa, version 2.0

Update Frequency: Not Planned
Status: Ongoing
Online Status: ONLINE
Publication State: Citable
Publication Date: 2021-08-16
DOI Publication Date: 2021-08-16
Download Stats: last 12 months

Abstract

The ESA Fire Disturbance Climate Change Initiative (Fire_cci) project has produced maps of global burned area developed from satellite observations. The Small Fire Database (SFD) pixel products have been obtained by combining spectral information from Sentinel-2 MSI data and thermal information from VIIRS VNP14IMGML active fire products.

This gridded dataset has been derived from the Small Fire Database (SFD) Burned Area pixel product for Sub-Saharan Africa, v2.0 (also available), which covers Sub-Saharan Africa for the year 2019, by summarising its burned area information into a regular grid covering the Earth at 0.05 x 0.05 degrees resolution and at monthly temporal resolution.

Citable as:  Chuvieco, E.; Pettinari, M.L.; Roteta, E.; Storm, T.; Boettcher, M. (2021): ESA Fire Climate Change Initiative (Fire_cci): Small Fire Database (SFD) Burned Area grid product for Sub-Saharan Africa, version 2.0. NERC EDS Centre for Environmental Data Analysis, 16 August 2021. doi:10.5285/01b00854797d44a59d57c8cce08821eb. http://dx.doi.org/10.5285/01b00854797d44a59d57c8cce08821eb
Abbreviation: FireCCISFD20_grid
Keywords: ESA, CCI, Grid, Burned Area, Fire Disturbance, Climate Change, GCOS Essential Climate Variable

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: http://licences.ceda.ac.uk/image/data_access_condition/esacci_fire_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 produced by the ESA Fire CCI team as part of the ESA Climate Change Initiative (CCI) and is being held on the CEDA (Centre for Environmental Data Analysis) archive as part of the ESA CCI Open Data Portal project.

Data Quality:
Validated by the Fire CCI team (see Product User Guide for further information)
File Format:
Data are in NetCDF format

Process overview

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

Instrument/Platform pairings

Sentinel 2 Multispectral Instrument (MSI) Deployed on: Sentinel 2A

Computation Element: 1

Title ESA Fire_cci Burned Area SFD algorithm
Abstract The Burned Area (BA) algorithm used for producing the Fire_CCI Burned Area product is described in the Fire_CCI Algoirthm Theoretical Basis Document (Bastarrika and Roteta, 2018), available at https://www.esa-fire-cci.org/documents
Input Description None
Output Description None
Software Reference None
Output Description None
  • units: m2
  • long_name: burned area in vegetation class
  • var_id: burned_area_in_vegetation_class
  • names: burned area in vegetation class
  • var_id: crs
  • units: 1
  • long_name: fraction of burnable area
  • var_id: fraction_of_burnable_area
  • names: fraction of burnable area
  • units: 1
  • long_name: fraction of observed area
  • var_id: fraction_of_observed_area
  • names: fraction of observed area
  • var_id: lat_bounds
  • var_id: lon_bounds
  • units: m2
  • long_name: standard error of the estimation of burned area
  • var_id: standard_error
  • names: standard error of the estimation of burned area
  • var_id: time_bounds
  • units: m2
  • standard_name: burned_area
  • var_id: burned_area
  • long_name: total burned_area
  • names: burned_area, total burned_area
  • units: 1
  • long_name: vegetation class name
  • var_id: vegetation_class_name
  • names: vegetation class name
  • units: 1
  • var_id: vegetation_class
  • long_name: vegetation class number
  • names: vegetation class number

Co-ordinate Variables

  • units: degree_north
  • standard_name: latitude
  • long_name: latitude
  • var_id: lat
  • names: latitude
  • units: degree_east
  • standard_name: longitude
  • long_name: longitude
  • var_id: lon
  • names: longitude
  • long_name: time
  • standard_name: time
  • var_id: time
  • names: time
Coverage
Temporal Range
Start time:
2019-01-01T00:00:00
End time:
2019-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°