Remote sensing has been extensively applied in agriculture for its objectiveness and promptness. However, few applications are available for monitoring natural medicinal plants. In the paper, a multilevel monitoring system, which includes satellite and aerial remote sensing, as well as ground investigation, was initially proposed to monitor natural Rheum tanguticum resource in Baihe Pasture, Zoige County, Sichuan Province. The amount of R. tanguticum from images is M = S*ρ and S is vegetation coverage obtained by satellite imaging, whereas ρ is R. tanguticum density obtained by low-altitude imaging. Only the R. tanguticum which coverages exceeded 1 m2 could be recognized from the remote sensing image because of the 0.1 m resolution of the remote sensing image (called effective resource at that moment), and the results of ground investigation represented the amounts of R. tanguticum resource in all sizes (called the future resource). The data in paper showed that the present available amount of R. tanguticum accounted for 4% to 5% of the total quantity. The quantity information and the population structure of R. tanguticum in the Baihe Pasture were initially confirmed by this system. It is feasible to monitor the quantitative distribution for natural medicinal plants with scattered distribution.
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机译：遥感的客观性和及时性已在农业中得到广泛应用。但是，很少有可用于监测天然药用植物的应用程序。在本文中，最初提出了一个包括卫星和航空遥感以及地面调查的多级监测系统，以监测四川省若尔盖县白河牧场的天然大唐大黄资源。来自图像的唐古特红藻的量为M = S *ρ，S为通过卫星成像获得的植被覆盖度，而ρ为通过低空成像获得的唐古斯丁密度。由于遥感图像的分辨率为0.1µm（当时称为有效资源），因此只能从遥感图像中识别出覆盖度超过1 m 2 的唐古特红藻。地面调查代表了各种规模的唐古斯红藻资源（称为未来资源）的数量。纸上数据表明，目前可用的唐古特红杆菌占总量的4％至5％。通过该系统初步确定了白鹤草中唐古特红草的数量信息和种群结构。监测具有分散分布的天然药用植物的定量分布是可行的。
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