Articles | Volume 13, issue 5
https://doi.org/10.5194/essd-13-1925-2021
https://doi.org/10.5194/essd-13-1925-2021
Data description paper
 | 
08 May 2021
Data description paper |  | 08 May 2021

MOSEV: a global burn severity database from MODIS (2000–2020)

Esteban Alonso-González and Víctor Fernández-García

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Revised manuscript accepted for ESSD
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Cited articles

Alonso-González, E. and Fernández-García, V.: MOSEV: a global burn severity database from MODIS (2000–2020), Zenodo [data set], https://doi.org/10.5281/zenodo.4265209, last access: 1 November 2020. 
Andela, N., Morton, D. C., Giglio, L., Paugam, R., Chen, Y., Hantson, S., van der Werf, G. R., and Randerson, J. T.: The Global Fire Atlas of individual fire size, duration, speed and direction, Earth Syst. Sci. Data, 11, 529–552, https://doi.org/10.5194/essd-11-529-2019, 2019. 
Boschetti, L., Roy, D. P., Giglio, L., Huang, H., Zubkova, M., and Humber, M. L.: Global validation of the collection 6 MODIS burned area product, Remote Sens. Environ., 235, 111490, https://doi.org/10.1016/j.rse.2019.111490, 2019. 
Botella-Martínez, M. A. and Fernández-Manso, A: Estudio de la severidad post-incendio en la Comunidad Valenciana comparando los índices dNBR, RdNBR y RBR a partir de imágenes Landsat 8, Revista de Teledetección, 49, 33–47, https://doi.org/10.4995/raet.2017.7095, 2017. 
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We present the first global burn severity database (MOSEV database), which is based on Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance and burned area products. The database inludes monthly scenes with the dNBR, RdNBR and post-burn NBR spectral indices at 500 m spatial resolution from November 2000 onwards. Moreover, in this work we show that there is a close relationship between the burn severity metrics included in MOSEV and the same ones obtained from Landsat-8.
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