Dataset
ESA Fire Climate Change Initiative (FireCCI): Long-term Small Fire Dataset (SFDL) Burned Area pixel product for Test Sites: Amazonia, Africa and Siberia, version 1.0
Abstract
The ESA Fire Disturbance Climate Change Initiative (FireCCI) project aims to generate burned area developed from satellite observations. The Long-Term Small Fire Dataset (SFDL) pixel products have been obtained using spectral information from Landsat sensors for three study areas located in different parts of the world (Amazon, Sahel and Siberia), and coinciding with the ESA CCI High Resolution Land Cover product.
The dataset uses surface reflectance information from the Landsat-4 and Landsat-5 TM, Landsat-7 ETM+ and Landsat-8 OLI sensors, and covers the period 1990 to 2019, with a spatial resolution of 0.00025 degrees (approximately 30 m at the Equator).
Details
Previous Info: |
No news update for this record
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Previously used record identifiers: |
No related previous identifiers.
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Access rules: |
Please contact the data centre for details on how to access these data.
For data use licensing information please contact: support@ceda.ac.uk |
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. |
Data Quality: |
See the associated dataset documentation at https://climate.esa.int/projects/fire/key-documents/
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File Format: |
Not defined
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Related Documents
ESA CCI Fire Project Website |
ESA Climate Initiative Website |
Process overview
Instrument/Platform pairings
Landsat Thematic Mapper (TM) | Deployed on: Landsat 4 |
Landsat Thematic Mapper (TM) | Deployed on: Landsat 5 |
Enhanced Thematic Mapper Plus (ETM+) | Deployed on: Landsat 7 |
Operational Land Imager (OLI) | Deployed on: Landsat 8 |
Computation Element: 1
Title | ESA Fire_cci Burned Area SFDL algorithm |
Abstract | Fore further details regarding the Burned Area (BA) algorithm used for producing the Fire_CCI Burned Area product, please see 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.
Temporal Range
1990-01-01T00:00:00
2019-12-31T23:59:59
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |