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Earth System Science Data The Data Publishing Journal
https://doi.org/10.5194/essd-2018-46
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Review article
22 May 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).
Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies
Emilio Chuvieco1, Joshua Lizundia-Loiola1, M. Lucrecia Pettinari1, Ruben Ramo1, Marc Padilla2, Kevin Tansey2, Florent Mouillot3, Pierre Laurent4, Thomas Storm5, Angelika Heil6, and Stephen Plummer7 1Environmental Remote Sensing Research Group, Department of Geology, Geography and the Environment, Universidad de Alcalá. Calle Colegios 2, Alcalá de Henares, 28801, Spain
2Centre for Landscape & Climate Research, Leicester Institute for Space and Earth Observation, School of Geography, University of Leicester, Leicester LE1 7RH, United Kingdom
3UMR CEFE 5175, CNRS, Université de Montpellier, Université Paul-Valéry Montpellier, EPHE, IRD, 1919 route de Mende, 34293 Montpellier CEDEX 5, France
4Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette, 91440, France
5Brockmann Consult GmBH, Max-Planck-Straße 2, D-21502 Geesthacht, Germany
6Max Planck Institute for Chemistry, Hahn-Meitner-Weg 1, B.3.53, 55128 Mainz, Germany
7ESA Earth Observation Climate Office, ECSAT, Fermi Avenue Harwell Campus Didcot, Oxfordshire OX11 0FD United Kingdom
Abstract. This paper presents a new global burned area (BA) product, generated from the MODIS red (R) and near infrared (NIR) reflectances and thermal anomalies data, thus providing the highest spatial resolution (approx. 250 m) among the existing global BA datasets. The product includes the full times series (2001–2016) of the MODIS archive. The BA detection 20 algorithm was based on temporal composites of daily images, using temporal and spatial distance to active fires. The algorithm has two steps, the first one aiming to reduce commission errors by selecting the most clearly burned pixels (seeds), and the second one aiming to reduce omission errors by applying contextual analysis around the seed pixels. The product was developed within the European Space Agency's (ESA) Climate Change Initiative programme, under the Fire Disturbance project (Fire_cci). The final output includes two types of BA products: monthly full-resolution continental tiles (http://doi.org/cpk7) and biweekly global grid files at a degraded resolution of 0.25 degrees (http://doi.org/gcx9gf). Each one includes several auxiliary variables that were defined by the climate users to facilitate the ingestion of the product into global dynamic vegetation and emission models. The validation was based on a stratified random sample of 1200 pairs of Landsat images, covering the whole globe from 2003 to 2014. The estimated commission and omission error rates of the pixel product was 0.512 (0.020) and 0.708 (0.030), respectively, lower 30 than previous ESA products but higher than the latest NASA MCD64A1 BA dataset. Examples of potential applications of this product to fire modelling based on burned patches analysis are included in this paper. They show greater sensitivity of our product to small burn patch detection than existing BA products.
Citation: Chuvieco, E., Lizundia-Loiola, J., Pettinari, M. L., Ramo, R., Padilla, M., Tansey, K., Mouillot, F., Laurent, P., Storm, T., Heil, A., and Plummer, S.: Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-46, in review, 2018.
Emilio Chuvieco et al.
Emilio Chuvieco et al.

Data sets

ESA Fire Climate Change Initiative (Fire_cci): MODIS Fire_cci Burned Area Pixel product, version 5.0 E. Chuvieco, M. L. Pettinari, J. Lizundia-Loiola, A. Bastarrika, E. Roteta, K. Tansey, M. Padilla Parellada, J. Wheeler, P. Lewis, J. Gomez-Dans, J. Brennan, J. M. Pereira, D. Oom, M. Campagnolo, T. Storm, J. Kaiser, A. Heil, F. Mouillot, M. V. Moreno, C. Yue, P. Laurent, G. van der Werf, and I. Bistinas https://doi.org/10.5285/9c666602b89e468493e1c907a4de62ff ESA Fire Climate Change Initiative (Fire_cci): MODIS Fire_cci Burned Area Grid product, version 5.0 E. Chuvieco, M. L. Pettinari, J. Lizundia-Loiola, A. Bastarrika, E. Roteta, K. Tansey, M. Padilla Parellada, J. Wheeler, P. Lewis, J. Gomez-Dans, J. Brennan, J. M. Pereira, D. Oom, M. Campagnolo, T. Storm, J. Kaiser, A. Heil, F. Mouillot, M. V. Moreno, C. Yue, P. Laurent, G. van der Werf, and I. Bistinas https://doi.org/10.5285/f1c9c7aa210d4564bd61ed1a81d51130
Emilio Chuvieco et al.

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Short summary
We present a new global burned area product, generated from MODIS information and thermal anomalies data, providing the highest spatial resolution (approx. 250 m) global product to date. The dataset comprises the full times series (2001–2016) of the MODIS archive, and includes two types of BA products: monthly full-resolution continental tiles and biweekly global grid files at a degraded resolution of 0.25 degrees, supplemented with several auxiliary variables useful for different applications.
We present a new global burned area product, generated from MODIS information and thermal...
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