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ESA Fire Climate Change Initiative (Fire_cci): Small Fire Dataset (SFD) Burned Area pixel product for Sub-Saharan Africa, version 1.1

Update Frequency: Not Planned
Latest Data Update: 2021-08-05
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2018-10-12
DOI Publication Date: 2018-10-12
Download Stats: last 12 months
Dataset Size: 1.39K Files | 39GB


The ESA Fire Disturbance Climate Change Initiative (Fire_cci) project has produced maps of global burned area developed from satellite observations. The Small Fire Dataset (SFD) pixel products have been obtained by combining spectral information from Sentinel-2 MSI data and thermal information from MODIS MOD14MD Collection 6 active fire products.

This dataset is part of v1.1 of the Small Fire Dataset (also known as FireCCISFD11), which covers Sub-Saharan Africa for the year 2016. Data is available here at pixel resolution (0.00017966259 degrees, corresponding to approximately 20m at the Equator). Gridded data products are also available in a separate dataset.

Citable as:  Chuvieco, E.; Pettinari, M.L.; Bastarrika, A.; Roteta, E.; Storm, T.; Padilla Parellada, M. (2018): ESA Fire Climate Change Initiative (Fire_cci): Small Fire Dataset (SFD) Burned Area pixel product for Sub-Saharan Africa, version 1.1. Centre for Environmental Data Analysis, 12 October 2018. doi:10.5285/065f6040ef08485db989cbd89d536167.
Abbreviation: FireCCISFD11_pixel
Keywords: ESA, CCI, Pixel, Burned Area, Fire Disturbance, Climate Change, GCOS


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: 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:
The product is a set of three single-layer GeoTIFF files (labelled JD, CL and LC in the filenames for layers 1 to 3 respectively). Layer 1 (JD): Date of the first detection; Pixel Spacing = 0.00017966259deg (approx. 20m); Pixel value = Day of the year, from 1 to 365 (or 366) . A value of 0 is included when the pixel is not burned in the month; a value of -1 is allocated to pixels that are not observed in the month; a value of -2 is allocated to pixels that are not burnable (build up areas, bare areas, , snow and/or ice, open water). Data type = Integer; Number of layers = 1; Data depth = 16 Layer 2: Confidence Level; Pixel Spacing = 0.00017966259deg (approx. 20m); Pixel value = 0 to 100, where the value is the probability in percentage that the pixel is actually burned, as a result of thedifferent steps of the burned area classification. The higher the value, the higher the confidence that the pixel is actually burned. A value of 0 is allocated to pixels that are not observed in the month, or not taken into account in the burned area processing (non burnable). Data type = Byte; Number of layers = 1; Data depth = 8 Layer 3: Land cover of that pixel, extracted from the CCI S2 prototype Land Cover map at 20m of Africa 2016. N is the number of the land cover categories in the reference map. It is only valid when layer 1 > 0. Pixel value is 0 to N under the following codes: 1 – Trees cover area; 2 – Shrubs cover area; 3 – Grassland; 4 – Cropland; 5 – Vegetation aquatic or regularly flooded; 6 – Lichen Mosses / Sparse vegetation; Pixel Spacing = 0.00017966259deg (approx. 20m); Datatype = Byte; Number of layers = 1; Data depth = 8

Citations: 2

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.

Gaveau, D. L. A., Descals, A., Salim, M. A., Sheil, D., & Sloan, S. (2021). Refined burned-area mapping protocol using Sentinel-2 data increases estimate of 2019 Indonesian burning. Earth System Science Data, 13(11), 5353–5368.
Ramo, R., Roteta, E., Bistinas, I., van Wees, D., Bastarrika, A., Chuvieco, E., & van der Werf, G. R. (2021). African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data. Proceedings of the National Academy of Sciences, 118(9).

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
Input Description None
Output Description None
Software Reference None
Output Description


No variables found.

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