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基于3S技术估算京津冀地区黄芩药材产量

[Estimating medicinal yield of Seutellaria baicalensis in Beijing-Tianjin-Hebei region based on 3S technology].

作者信息

Liu Jin-xinp, Lu Heng, Zeng Yan, Yue Jian-wei, Meng Fan-yun, Zhang Yi-guang

机构信息

Beijing Key Laboratory of Protection and Application of Chinese Medicinal Resources, Beijing 100875, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2012 Sep;37(17):2524-9.

Abstract

Resources survey of traditional Chinese medicine and reserves estimation are found to be the most important issues for the protection and utilization of traditional Chinese medicine resources, this paper used multi-spatial resolution remote sensing images (RS) , geographic information systems (GIS) and global positioning system (GPS) , to establish Scutellaria resources survey of 3S data platform. Combined with the traditional field survey methods, small-scale habitat types were established based on different skullcap reserve estimation model, which can estimate reserves of the wild Scutellaria in Beijing-Tianjin-Hebei region and improve the estimation accuracy. It can provide an important parameter for the fourth national survey of traditional Chinese medicine resources and traditional Chinese medicine reserves estimates based on 3S technology by multiple spatial scales model.

摘要

中医药资源调查与蕴藏量估算是中医药资源保护与利用的重要问题,本文利用多空间分辨率遥感影像(RS)、地理信息系统(GIS)和全球定位系统(GPS),建立了黄芩资源调查的3S数据平台。结合传统野外调查方法,基于不同黄芩蕴藏量估算模型划分小尺度生境类型,可估算京津冀地区野生黄芩蕴藏量并提高估算精度。通过多空间尺度模型可为第四次全国中药资源普查及基于3S技术的中药蕴藏量估算提供重要参数。

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