This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 

Dataset

 
Old European Space Agency (ESA) Logo

ESA Fire Climate Change Initiative (Fire_cci): MODIS Fire_cci Burned Area Pixel product, version 5.0

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2018-02-23
DOI Publication Date: 2018-02-23
Download Stats: last 12 months

Abstract

The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. These MODIS Fire_cci v5.0 pixel products are distributed as 6 continental tiles and are based upon data from the MODIS instrument onboard the TERRA satellite at 250m resolution for the period 2001-2016. This is the first time that MODIS 250m resolution images are used for global burned area (BA) mapping.

The Fire_cci v5.0 Pixel product described here includes maps at 0.00224573-degrees (approx. 250m) resolution. Burned area(BA) information includes 3 individual files, packed in a compressed tar.gz file: date of BA detection (labelled JD), the confidence level (CL, a probability value estimating the confidence that a pixel is actually burned), and the land cover (LC) information as defined in the Land_Cover_cci v1.6.1 product.

Files are in GeoTIFF format using a geographic coordinate system based on the World Geodetic System (WGS84) reference ellipsoid and using Plate Carrée projection with geographical coordinates of equal pixel size. For further information on the product and its format see the Fire_cci Product User Guide in the linked documentation.

To receive updates on the products and information on new datasets, users are encouraged to register with the Fire_cci project at https://geogra.uah.es/fire_cci/.

Citable as:  Chuvieco, E.; Pettinari, M.L.; Lizundia Loiola, J.; Bastarrika, A.; Roteta, E.; Tansey, K.; Padilla Parellada, M.; Wheeler, J.; Lewis, P.; Gomez-Dans, J.; Brennan, J.; Pereira, J.M.; Oom, D.; Campagnolo, M.; Storm, T.; Kaiser, J.; Heil, A.; Mouillot, F.; Moreno, M.V.; Yue, C.; Laurent, P.; van der Werf, G.; Bistinas, I. (2018): ESA Fire Climate Change Initiative (Fire_cci): MODIS Fire_cci Burned Area Pixel product, version 5.0. Centre for Environmental Data Analysis, 23 February 2018. doi:10.5285/9c666602b89e468493e1c907a4de62ff. http://dx.doi.org/10.5285/9c666602b89e468493e1c907a4de62ff
Abbreviation: Not defined
Keywords: ESA, CCI, Pixel, Burned Area, Fire Disturbance, Climate Change, GCOS

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No releated 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:
See dataset associated documentation.
File Format:
The Fire_cci v5.0 Pixel product described here includes maps at 0.00224573-degrees (approx. 250m) resolution. Burned area(BA) information includes 3 individual files, packed in a compressed tar.gz file: date of BA detection (labelled JD), the confidence level (CL, a probability value estimating the confidence that a pixel is actually burned), and the land cover (LC) information as defined in the Land Cover CCI v1.6.1 product. Files are in GeoTIFF format using a geographic coordinate system based on the World Geodetic System (WGS84) reference ellipsoid and using Plate Carrée projection with geographical coordinates of equal pixel size. For further information on the product and its format see the Fire_cci Product User Guide in the linked documentation.

Process overview

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

No variables found.