基于3S技术的京津冀地区野生黄芩资源储量调查研究  

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

作　　者：刘金欣[1,2] 卢恒 曾燕[1,2] 岳建伟[3] 孟繁蕴[1,2] 张怡光 

机构地区：[1]中药资源保护与利用北京市重点实验室,北京100875 [2]北京师范大学资源学院 资源生态与中药资源研究所,北京100875 [3]北京师范大学资源学院资源生态与中药资源研究所,北京100875

出　　处：《中国中药杂志》2012年第17期2524-2529,共6页China Journal of Chinese Materia Medica

基　　金：国家自然科学基金项目(81072999)

摘　　要：中药资源调查及其蕴藏量测算是中药资源保护和利用的首要问题,文章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),建立黄芩资源调查的3S数据平台,结合传统的野外实地调查方法,建立小尺度基于不同生境类型的黄芩储量估算模型,对京津冀地区野生黄芩资源量进行了估算,提高了估算精度,为第四次全国中药资源普查和基于3S技术的中药资源多空间尺度模型估算提供重要数据。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.

关 键 词：3S技术 中药资源 储量 黄芩 河北 

分 类 号：S567.239[农业科学—中草药栽培]