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EFFICIENT FLOOD WATERS ANALYSIS FROM SPATIO-TEMPORAL DATA FUSION AND STATISTICS
EFFICIENT FLOOD WATERS ANALYSIS FROM SPATIO-TEMPORAL DATA FUSION AND STATISTICS
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机译:基于时空数据融合和统计的高效洪水分析
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摘要
In an approach for efficient flood water analysis from spatio-temporal data fusion and statistics, a processor classifies regular waters by using cartographic data in a first location. A processor generates a water stream network including a watershed based on elevation data. A processor performs statistical analysis of spectral information from a multi-spectral satellite imagery over water bodies including the regular waters and flood waters. A processor correlates the spectral statistics of the multi-spectral satellite imagery to kinetic energy of the flood waters using machine learning techniques and physical modeling. A processor builds a learning model based on the correlation between the spectral statistics and the flood waters with the kinetic energy. A processor estimates kinetic energy of flood waters in a second location using the learning model. A processor evaluates a flooding risk for the second location based on the estimated flood waters kinetic energy.
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