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ESA Fire Climate Change Initiative (Fire CCI): Burned Area Grid Product Version 3.1

Latest Data Update: 2016-07-25
Status: Superseded
Online Status: ONLINE
Publication State: Published
Publication Date: 2016-02-02
Download Stats: last 12 months
Dataset Size: 74 Files | 2GB

This dataset has been superseded. See Latest Version here

The ESA Fire Climate Change Initiative (CCI) dataset collection consists of maps of global burned areas for years 2006 to 2008, developed from satellite observations. The products are based upon thermal information from the MODIS active fires product and spectral information from the Medium Resolution Imaging Spectrometer (MERIS), on board the ENVISAT ESA satellite.

The Grid product is derived from the Pixel product by summarizing its burned area information into a regular grid covering the Earth for 15-day periods with 0.5 degree resolution. Information on burned area is included in 22 individual layers: sum of burned area, standard error, fraction of observed area, number of patches and the burned area for 18 land cover classes, as defined by the Globcover (2005) product. For further information on the product and its format see the Fire CCI product user guide in linked documentation.

Citable as:  ESA Fire CCI project team; Chuvieco, E. (2016): ESA Fire Climate Change Initiative (Fire CCI): Burned Area Grid Product Version 3.1. Centre for Environmental Data Analysis, date of citation.
Abbreviation: FireCCI31_grid
Keywords: ESA, CCI, FIRE, GRID


Previous Info:

2016-07-26 A new version (4.1) of the dataset has been released and is available at… Show More 2016-07-26 A new version (4.1) of the dataset has been released and is available at Show Less

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: 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 and is being held on CEDA as part of the ESA CCI Open Data Portal Project.

File Format:
Data are in NetCDF format. The data is organised into yearly files holding sets of monthly files. These store the raster product for each 15 day period. It is stored in geographical coordinates and each cell has a latitude and longitude assignment which is tied to the centre of the grid cell.

Process overview

  • units: m2
  • long_name: burned area in vegetation class
  • standard_name: burned_area_in_vegetation_class
  • var_id: burned_area_in_vegetation_class
  • names: burned_area_in_vegetation_class, burned area in vegetation class
  • units: 1
  • long_name: fraction of observed area
  • standard_name: burned_area_observed_area_fraction
  • var_id: observed_area_fraction
  • names: fraction of observed area, burned_area_observed_area_fraction
  • var_id: lat_bnds
  • var_id: lon_bnds
  • units: 1
  • long_name: number of patches
  • standard_name: burned_area_patch_number
  • var_id: patch_number
  • names: burned_area_patch_number, number of patches
  • units: m2
  • long_name: standard error of the estimation of burned area
  • standard_name: burned_area_standard_error
  • var_id: standard_error
  • names: burned_area_standard_error, standard error of the estimation of burned area
  • var_id: time_bnds
  • units: m2
  • long_name: total burned area
  • standard_name: burned_area
  • var_id: burned_area
  • names: burned_area, total burned area
  • units: 1
  • long_name: vegetation class name
  • var_id: vegetation_class
  • names: vegetation class name
  • units: 1
  • long_name: vegetation class name
  • var_id: vegetation_class_name
  • names: vegetation class name

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
Temporal Range
Start time:
End time:
Geographic Extent