[Application of LA-UNet network model in remote sensing classification of urban green space].

The accurate identification and monitoring of urban green space is of great significance in urban planning and ecological management. In view of the complex background of urban green space, the traditional remote sensing classification technology is prone to the problem of misalignment and adhesion. Taking Yuhua District of Changsha City as the research area and Gaofen-2 (GF-2) remote sensing image as the data source, we proposed a remote sensing classification method for urban green space based on the LA-UNet model, which was based on the UNet model.

[Quality assessment of Coptis chinensis in China].

Objective: To study the dynamic change of the ingredients of Coptis chinensis and evaluate the quality of the crude drugs from main producing areas.

Method: The ingredients of samples from Shizhu and Wuxi counties in Chongqing, Hongya and Dayi counties in Sichuan, Zhenping county in Shanxi, Lichuan county in Hubei were analyzed for berberine, coptisine, jatrorrhizine, palmatine and the total alkaloids by HPLC and UV methods.

Result And Conclusion: The contents of measured indexes were mostly highest in 5-years-old C.