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| Titel |
Assessing burn severity using satellite time series |
| VerfasserIn |
Sander Veraverbeke, Stefaan Lhermitte, Willem Verstraeten, Rudi Goossens |
| Konferenz |
EGU General Assembly 2010
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 12 (2010) |
| Datensatznummer |
250031815
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| Zusammenfassung |
| In this study a multi-temporal differenced Normalized Burn Ratio (dNBRMT) is presented to
assess burn severity of the 2007 Peloponnese (Greece) wildfires. 8-day composites were
created using the daily near infrared (NIR) and mid infrared (MIR) reflectance products of the
Moderate Resolution Imaging Spectroradiometer (MODIS). Prior to the calculation of the
dNBRMT a pixel-based control plot selection procedure was initiated for each
burned pixel based on time series similarity of the pre-fire year 2006 to estimate the
spatio-temporal NBR dynamics in the case that no fire event would have occurred. The
dNBRMT is defined as the one-year post-fire integrated difference between the
NBR values of the control and focal pixels. Results reveal the temporal dependency
of the absolute values of bi-temporal dNBR maps as the mean temporal standard
deviation of the one-year post-fire bi-temporal dNBR time series equaled 0.14 (standard
deviation of 0.04). The dNBRMT’s integration of temporal variability into one value
potentially enhances the comparability of fires across space and time. In addition, the
dNBRMT is robust to random noise thanks to the averaging effect. The dNBRMT, based
on coarse resolution imagery with high temporal frequency, has the potential to
become either a valuable complement to fine resolution Landsat dNBR mapping or
an imperative option for assessing burn severity at a continental to global scale. |
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