Burned Area Products

As part of the Fire_cci project, several algorithms have been or are being tested in different parts of the world, involving the use of medium to high resolution satellite images, including MERIS, MODIS, Sentinel 1, Sentinel 2, Sentinel-3 and AVHRR data.

The following burned area products have been produced:

Product

Coverage

Time series

Input data (sensor)

Pixel product

Grid Product

Related scientific publication

Surface Reflectance

Active Fires

Spatial Resolution

DOI

Spatial Resolution

DOI

FireCCIS310

Global

2019 (further years to be processed)

Sentinel-3 SYN (based on OLCI and SLSTR)

VIIRS

300 m

http://dx.doi.org/10.5285/c98515f1934a4db68d2007b47c5a8d04

0.25 deg

http://dx.doi.org/10.5285/3aaaaf94813e48f18f2b83242a8dacbe

In review

FireCCI51

Global

2001-2020

MODIS

MODIS

250 m

http://dx.doi.org/10.5285/58f00d8814064b79a0c49662ad3af537

0.25 deg

http://dx.doi.org/10.5285/3628cb2fdba443588155e15dee8e5352 

Lizundia-Loiola, J., et al. (2020) A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data. https://doi.org/10.1016/j.rse.2019.111493

FireCCILT11

Global

1982-2018 (minus 1994)

AVHRR LTDR

-

0.05 deg

http://dx.doi.org/10.5285/b1bd715112ca43ab948226d11d72b85e

0.25 deg

http://dx.doi.org/10.5285/62866635ab074e07b93f17fbf87a2c1a 

Otón, G., et al. (2021) Development of a consistent global long-term burned area product (1982–2018) based on AVHRR-LTDR data. https://doi.org/10.1016/j.jag.2021.102473

FireCCISFD20

Sub-Saharan Africa

2019

Sentinel-2 A&B MSI

VIIRS

20 m

http://dx.doi.org/10.5285/4c5feb539f1f44308ca7ec26e0bb7316

0.05 deg

http://dx.doi.org/10.5285/01b00854797d44a59d57c8cce08821eb

Chuvieco, E., et al. (2022) Building a small fire database for Sub-Saharan Africa from Sentinel-2 high-resolution images. https://doi.org/10.1016/j.scitotenv.2022.157139

FireCCISFD11

Sub-Saharan Africa

2016

Sentinel-2 A MSI

MODIS

20 m

http://dx.doi.org/10.5285/065f6040ef08485db989cbd89d536167

0.25 deg

http://dx.doi.org/10.5285/4b0773a84e8142c688a628c9ce62d4ec

Roteta, E., et al. (2019) Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa. https://doi.org/10.1016/j.rse.2018.12.011

FireCCIS1SA10 (beta product)

Amazon basin

2017

Sentinel-1 SAR

-

40 m

-

-

-

Belenguer-Plomer, M.A., et al. (2021) CNN-based burned area mapping using radar and optical data. https://doi.org/10.1016/j.rse.2021.112468

FireCCI Special study case Indonesia

Indonesia

2015-2016

Sentinel-1 SAR

-

10 m

-

-

-

Lohberger, S. et al. (2018) Spatial evaluation of Indonesia's 2015 fire-affected area and estimated carbon emissions using Sentinel-1. https://doi.org/10.1111/gcb.13841

Superseded and deprecated products

FireCCI50 (superseded)

Global

2001-2016

MODIS

MODIS

250 m

http://dx.doi.org/10.5285/9c666602b89e468493e1c907a4de62ff

0.25 deg

http://dx.doi.org/10.5285/f1c9c7aa210d4564bd61ed1a81d51130

Chuvieco, E., et al. (2018) Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies. https://doi.org/10.5194/essd-10-2015-2018

FireCCI41 (deprecated)

Global

2005-2011

MERIS

MODIS

300 m

http://dx.doi.org/10.5285/8723B4DD-49A4-4C37-9A3C-BA4392EEE63B

0.25 deg

http://dx.doi.org/10.5285/D80636D4-7DAF-407E-912D-F5BB61C142FA

Chuvieco, E., et al. (2016) A new global burned area product for climate assessment of fire impacts. https://doi.org/10.1111/geb.12440

FireCCI31 (deprecated)

Global

2006-2008

MERIS

MODIS

300 m

https://catalogue.ceda.ac.uk/uuid/56224b6755a843298af463827e9832ae

0.5 deg

https://catalogue.ceda.ac.uk/uuid/9821980dc18047f09b9113d44fc2c20b

Alonso-Canas, I., Chuvieco, E. (2015) Global Burned Area Mapping from ENVISAT-MERIS data. https://doi.org/10.1016/j.rse.2015.03.011

FireCCILT10 (deprecated)

Global

1982-2017 (minus 1994)

AVHRR LTDR

-

-

-

0.25 deg

http://dx.doi.org/10.5285/4f377defc2454db9b2a6d032abfd0cbd

Otón, G., et al. (2019) Global detection of long-term (1982-2017) burned area with AVHRR-LTDR data. https://doi.org/10.3390/rs11182079

Ancillary Datasets