Goossens, Rudi

Lhermitte, Stefaan

Veraverbeke, Sander

Verstraeten, Willem

Ghent University Academic Bibliography

Geophysical Research AbstractsVol. 12, EGU2010-253, 2010EGU General Assembly 2010© Author(s) 2009Assessing burn severity using satellite time seriesSander Veraverbeke (1), Stefaan Lhermitte (2), Willem Verstraeten (3), and Rudi Goossens (1)(1) Department of geography, Ghent University, Ghent, Belgium (sander.veraverbeke@ugent.be), (2) CEAZA, Universidad deLa Serena, La Serena, Chile, (3) Geomatics Engineering, KU Leuven, Leuven, BelgiumIn this study a multi-temporal differenced Normalized Burn Ratio (dNBRMT ) is presented to assess burn severityof the 2007 Peloponnese (Greece) wildfires. 8-day composites were created using the daily near infrared (NIR) andmid infrared (MIR) reflectance products of the Moderate Resolution Imaging Spectroradiometer (MODIS). Priorto the calculation of the dNBRMT a pixel-based control plot selection procedure was initiated for each burnedpixel based on time series similarity of the pre-fire year 2006 to estimate the spatio-temporal NBR dynamics in thecase that no fire event would have occurred. The dNBRMT is defined as the one-year post-fire integrated differencebetween the NBR values of the control and focal pixels. Results reveal the temporal dependency of the absolutevalues of bi-temporal dNBR maps as the mean temporal standard deviation of the one-year post-fire bi-temporaldNBR time series equaled 0.14 (standard deviation of 0.04). The dNBRMT ’s integration of temporal variabilityinto one value potentially enhances the comparability of fires across space and time. In addition, the dNBRMT isrobust to random noise thanks to the averaging effect. The dNBRMT , based on coarse resolution imagery with hightemporal frequency, has the potential to become either a valuable complement to fine resolution Landsat dNBRmapping or an imperative option for assessing burn severity at a continental to global scale.

Assessing burn severity using satellite time series

https://biblio.ugent.be/publication/975954/file/975955

Assessing burn severity using satellite time series

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