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|Title:||Fire Hot Spot Areas in Southern Europe - Detection of Large-Scale Wildland Fire Occurrence Patterns by Adaptive Kernel Density Interpolation|
|Authors:||ALLGOEWER Britta; CAMIA ANDREA; FRANCESETTI Annalisa; KOUTSIAS Nikos|
|Citation:||Proceedings of the 5th International Workshop on Remote Sensing and GIS Applications to Forest Fire Management: Fire Effects Assessment p. 47-50|
|Publisher:||Universidad de Zaragoza|
|Type:||Articles in periodicals and books|
|Abstract:||The study proposes an adaptive kernel density interpolation approach to define large-scale wildland fire occurrence patterns and to identify 'fire hot spot areas' using fire ignition observations aggregated at community level. The number of fires per community is used as the intensity variable for the kernel density estimation calculations. Adaptive kernel density interpolation allows for varying the kernel size according to the concentration of the interpolated points. After several experiments, locally varying bandwidth sizes proved to perform best, and the interpolation of 10 community centroids under the same kernel showed a reasonable variability in the resulting density surfaces.|
|JRC Institute:||Sustainable Resources|
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