Generation and analysis of a new global burned area product based on MODIS 250&thinsp;m reflectance bands and thermal anomalies

Chuvieco, Emilio; Lizundia-Loiola, Joshua; Pettinari, Maria Lucrecia; Ramo, Ruben; Padilla, Marc; Tansey, Kevin; Mouillot, Florent; Laurent, Pierre; Storm, Thomas; Heil, Angelika; Plummer, Stephen

doi:https://doi.org/10.5194/essd-10-2015-2018

Articles | Volume 10, issue 4

https://doi.org/10.5194/essd-10-2015-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-10-2015-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 10, issue 4

Review article

|

13 Nov 2018

Review article |

| 13 Nov 2018

Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies

Emilio Chuvieco, Joshua Lizundia-Loiola, Maria Lucrecia Pettinari, Ruben Ramo, Marc Padilla, Kevin Tansey, Florent Mouillot, Pierre Laurent, Thomas Storm, Angelika Heil, and Stephen Plummer

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Final revised paper (published on 13 Nov 2018)
Preprint (discussion started on 22 May 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Chuvieco et al. Manuscript Review', Anonymous Referee #1, 25 Jun 2018
RC2: 'Review comments on manuscript by Chuvieco et al.', Anonymous Referee #2, 11 Jul 2018
AC1: 'Answer to anonymous referees', M. L. Pettinari, 10 Aug 2018
EC1: 'Additional comments from 2nd reading by 2nd reviewer', David Carlson, 13 Sep 2018

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 2001–2016 time series 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 °, supplemented with several auxiliary variables useful for different applications.