Utilization of satellite observations in the risk assessment methods of meteorological and climatic disasters in urban areas
Heading:
| 1Kostyuchenko, Yu.V, 2Bilous, Yu.H, 3Solovyov, DM, 2Kopachevsky, IM 1State institution «Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine», Kyiv, Ukraine 2State institution «Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Science of the National Academy of Sciences of Ukraine», Kyiv, Ukraine 3State institution «Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine», Kyiv; Marine Hydrophysical Institute Ukrainian National Academy of Sciences, Sevastopol |
| Kosm. nauka tehnol. 2013, 19 ;(6):27-37 |
| https://doi.org/10.15407/knit2013.06.027 |
| Publication Language: Ukrainian |
Abstract: We consider some aspects of the theoretical and methodological basis for utilization of satellite observations of snow cover in the task of climatic, meteorological, hydrological and hydrogeological risk assessment in urban areas. We propose fundamentals of a procedure for the determination of the snow cover characteristics by integrating usage of satellite information (especially, MOD10A1 and SWE products, snow depth normalized index NDSI, local meteorological observations, ground calibration and verification measurements). On the basis of the modified method of Ensemble Transform Kalman Filter (ETKF) and Kernel Principal Component Analysis of data distributions (KPCA), a method of data integration from various sources is proposed. It is shown that in application of urban agglomeration analysis the proposed approach has sufficiently high relative accuracy with respect to existing approaches (separately used MOD10A1 and SWE products). As an example of approach approbation, a case of extreme snowfall in Kyiv during 21–23 of March 2013 is used. A quantitative assessment of risk indicators and parameters of municipal infrastructure vulnerability toward adverse effects of a disaster is presented. |
| Keywords: municipal infrastructure, satellite data, snow cover |
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