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Dataset

 

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

Update Frequency: Not Planned
Latest Data Update: 2021-08-16
Status: Ongoing
Online Status: ONLINE
Publication State: Citable
Publication Date: 2021-08-16
DOI Publication Date: 2021-08-16
Download Stats: last 12 months
Dataset Size: 6.96K Files | 82GB

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 Dataset (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 dataset is part of v2.0 of the Small Fire Dataset (also known as FireCCISFD11), which covers Sub-Saharan Africa for the year 2019. 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.; Roteta, E.; Storm, T.; Boettcher, M. (2021): ESA Fire Climate Change Initiative (Fire_cci): Small Fire Dataset (SFD) Burned Area pixel product for Sub-Saharan Africa, version 2.0. NERC EDS Centre for Environmental Data Analysis, 16 August 2021. doi:10.5285/4c5feb539f1f44308ca7ec26e0bb7316. https://dx.doi.org/10.5285/4c5feb539f1f44308ca7ec26e0bb7316
Abbreviation: FireCCISFD20_pixel
Keywords: ESA, CCI, Pixel, 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(s):
https://artefacts.ceda.ac.uk/licences/specific_licences/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:
The pixel product is composed of 4 files: *JD.tif: Day of first detection (Julian Day) of the burned area; *CL.tif: Confidence level of burned area detection; *LC.tif: Land cover of the pixel detected as burned as defined by the C3S Land Cover map of 2018 (https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover). *.xml: Metadata of the product. In the Compressed folder these have been compressed into a single .tar.gz file.

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.

van der Velde, I.R., van der Werf, G.R., van Wees, D., et al. (2024) Small Fires, Big Impact: Evaluating Fire Emission Estimates in Southern Africa Using New Satellite Imagery of Burned Area and Carbon Monoxide. Geophysical Research Letters 51. https://doi.org/10.1029/2023gl106122 https://doi.org/10.1029/2023gl106122

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

No variables found.

Coverage
Temporal Range
Start time:
2019-01-01T00:00:00
End time:
2019-12-31T23:59:59
Geographic Extent

 
25.0000°
 
-20.0000°
 
55.0000°
 
-35.0000°