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Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Assessment of post-fire changes in land surface temperature and surface albedo, and their relation with fire–burn severity using multitemporal MODIS imagery

Sander Veraverbeke A B F , Willem W. Verstraeten C D , Stefaan Lhermitte C E , Ruben Van De Kerchove A and Rudi Goossens A
+ Author Affiliations
- Author Affiliations

A Department of Geography, Ghent University, Krijgslaan 281 S8, BE-9000 Ghent, Belgium.

B Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA.

C Royal Netherlands Meteorological Institute, PO Box 201, NL-3730 AE, De Bilt, the Netherlands.

D Fluid Dynamics Department, Eindhoven University of Technology, Postbus 513, NL-5600, the Netherlands.

E Centro de Estudios Avanzados en Zonas Aridas, Universidad de la Serena, La Serena, Chile.

F Corresponding author. Email: sander.s.veraverbeke@jpl.nasa.gov

International Journal of Wildland Fire 21(3) 243-256 https://doi.org/10.1071/WF10075
Submitted: 14 July 2010  Accepted: 6 August 2011   Published: 3 January 2012

Abstract

This study evaluates the effects of the large 2007 Peloponnese (Greece) wildfires on changes in broadband surface albedo (α), daytime land surface temperature (LSTd) and night-time LST (LSTn) using a 2-year post-fire time series of Moderate Resolution Imaging Spectroradiometer satellite data. In addition, it assesses the potential of remotely sensed α and LST as indicators for fire–burn severity. Immediately after the fire event, mean α dropped up to 0.039 (standard deviation = 0.012) (P < 0.001), mean LSTd increased up to 8.4 (3.0) K (P < 0.001), and mean LSTn decreased up to –1.2 (1.5) K (P < 0.001) for high-severity plots (P < 0.001). After this initial alteration, fire-induced changes become clearly smaller and seasonality starts governing the α and LST time series. Compared with the fire-induced changes in α and LST, the post-fire NDVI drop was more persistent in time. This temporal constraint restricts the utility of remotely sensed α and LST as indicators for fire–burn severity. For the times when changes in α and LST were significant, the magnitude of changes was related to fire–burn severity, revealing the importance of vegetation as a regulator of land surface energy fluxes.

Additional keywords: climate, NDVI, remote sensing, satellite.


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