Chun-Xiang Shi

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The crowning objective of this research was to identify a better cloud classification method to upgrade the current window-based clustering algorithm used operationally for China's first operational geostationary meteorological satellite FengYun-2C (FY-2C) data. First, the capabilities of six widely-used Artificial Neural Network (ANN) methods are analyzed,(More)
OBJECTIVE Rapid nondestructive determination of salvianolic acid B and tanshinone IIA in Radix Salviae Miltiorrhizae with near-infrared reflectance spectroscopy. METHOD A quantitive model was built up with near-infrared diffuse reflectance spectroscopy. RESULTS The RMSEP in quantitative calibration model for salvianolic acid B and tanshinone IIA were(More)
Based on the satellite data such as precipitation estimation, incident radiation, brightness temperature etc. and the assimilation data of CLSMDAS, combined with B-P neural network to develop a new model of soil moisture monitoring. The model mining the relationship between the soil moisture and the satellite products, then calculate the weight and build(More)
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