Abstract
A model for the forest fire consequences assessment based on integrated processing of multispectral space imagery and ground survey data is presented. The focus is on the following steps: initial data gathering for further automated clustering of landscape elements; clustering; and cross-validation of the results of the forest fire consequences assessment. The modelling assesses the following indicators: the burned area size, forest fire type, and the main burned plant community types.
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