Abstract
German National Space Agency DLR (Deutsches Zentrum fur Luft-und Raumfahrt e.V.) on behalf of German Federal Ministry of Economy and Technology 50EE1535 50EE1536 KIT-Publication Fund of Karlsruhe Institute of Technology
Highlights
Wildfires are an integral part of many ecosystems, shaping their structure and functions (Attiwill, 1994) and having significant global impacts on terrestrial, aquatic and atmospheric systems (Lentile et al, 2006)
The results suggest that in our study area the largest fraction of variability in Sentinel-2 based differenced Normalized Burn Ratio (dNBR) and relative dNBR (RdNBR) values can be explained by variables related to the fraction of consumed canopy cover while the vegetation composition before the fire does not have a large in fluence on dNBR and RdNBR
The best subset selection results indicate that best models with 5 to 10 predictors show hardly any difference in model performances when compared to the model using all predictors (Fig. 4)
Summary
Wildfires are an integral part of many ecosystems, shaping their structure and functions (Attiwill, 1994) and having significant global impacts on terrestrial, aquatic and atmospheric systems (Lentile et al, 2006). G., Kasischke et al, 1992; Nioti et al, 2011) to regional (e.g.,BourgeauChavez et al, 1997; Pu et al, 2004) and even global scales (e.g., AlonsoCanas & Chuvieco, 2015; Giglio et al, 2006) using mostly airborne and spaceborne multispectral and Radar data in combination with simple thresholding procedures or more complex classification approaches Such approaches often achieve very high accuracies when compared to visually delineated fire scars and field-reference data and are nowadays used operationally (Hua & Shao, 2017). Relating the remotely sensed information about fire or burn severity to the actual processes and changes that occurred on the ground remains challenging (Lentile et al, 2009). It is further important that the meaning of both terms may vary drastically depending on the examined ecosystem and neither of them is generally (per definition) connected to defined measurable ecological variables, even though this may be the case in individual studies
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