摘要
目的:确定新型冠状病毒感染(COVID-19)治疗方剂中8个高频次重点中药材面积遥感测算方法.方法:对国家卫生部门及26个省(自治区、直辖市)发布用于防治COVID-19的中成药和处方中出现频次较高的中药材(甘草、连翘、金银花、广藿香、藿香、麻黄、苍术、苦杏仁)进行梳理,重点对其植物学特征、生物学特性归类分析并探讨基于遥感数据提取种植面积的方法.结果:首次构建了这8个频次较高的中药材种植面积提取的方法体系.结论:对于突发公共卫生事件下药材存量的估算提供数据支持,对于中药材的有序生产具有重要的指导意义.
Abstract
Objective:To establish a remote sensing method for measuring the area of eight high-frequency traditional Chinese medicines used in the treatment of COVID-19.Methods:The Chinese medicinal materials(licorice,forsythia,honeysuckle,patchouli,agastache,ephedra,atractylodes atractylodes and bitter almond)that frequently appeared in the Chinese patent medicines and prescrip-tions issued by the National Health Commission and 26 provinces(autonomous regions and municipali-ties directly under the central government)for the prevention and treatment of COVID-19 were analyzed in this paper.Their botanical and biological characteristics were classified and analyzed,and the method of extracting planting area based on remote sensing data was discussed.Results:For the first time,we sucessfully established a methodology framework for estimating the cultivated areas of these Chinese medicinal materials with high frequency.Conclusion:It provided data support for estimating the stock of Chinese medicinal materials under public health emergencies,and had important guiding significance for the orderly production of Chinese medicinal materials.
NETL
NSTL
万方数据