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) |
Spatial Resolution |
Publication |
||
|
Surface Reflectance |
Active Fires |
Pixel |
Grid |
||||
|
Global |
2019 (further years to be processed) |
Sentinel-3 SYN (based on OLCI and SLSTR) |
VIIRS |
300 m |
0.25 deg |
Lizundia-Loiola, J., Franquesa, M.,
Khairoun, A., Chuvieco, E. (2022) Global burned area mapping from Sentinel-3
Synergy and VIIRS active fires. Remote Sensing of Environment 282, 113298. https://doi.org/10.1016/j.rse.2022.113298 |
|
|
Global |
2001-2020 |
MODIS |
MODIS |
250 m |
0.25 deg |
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 |
|
|
Global |
1982-2018 (minus 1994) |
AVHRR LTDR |
- |
0.05 deg |
0.25 deg |
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 |
|
|
Sub-Saharan Africa |
2019 |
Sentinel-2 A&B MSI |
VIIRS |
20 m |
0.05 deg |
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 |
|
|
Sub-Saharan Africa |
2016 |
Sentinel-2 A MSI |
MODIS |
20 m |
0.25 deg |
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 |
|
|
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 |
|
|
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 |
|
|
FireCCI50 (superseded) |
Global |
2001-2016 |
MODIS |
MODIS |
250 m |
0.25 deg |
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 |
0.25 deg |
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 |
0.5 deg |
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 |
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
- BARD: Burned Area Reference Database: global and regional reference fire perimeters used for the validation of burned area products