Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2010, Vol. 7, No. 2, pp. 55-66
Geospatial risk analysis based on data fusion
N.N. Kussul
, Ya.I. Zyelyk
, S.V. Skakun
, A.Yu. Shelestov
Space Research Institute of NAS and NSA of Ukraine, 40 Academician Glushkov Avenue, build. 4/1, Kyiv, Ukraine, 03680
The problem statement of disaster risk assessment, based on heterogeneous information (from satellites and in-situ
data, and modeling data) is proposed, the problem solving method is grounded and considers its practical use for risk
assessment of flooding in Namibia. The basis of the method is the ensemble approach to the heterogeneous data
analysis with the use of the data fusion techniques and evaluation the probability density function of a natural disaster
using this method.
Keywords: risk assessment, natural disasters, geospatial data, remote sensing, data fusion, ensemble data processing, average risk minimizing, probability density function, maximum likelihood principle, neural network classifier
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