Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Beijing 100193, China.
Shandong Academy of Agriculture Sciences, Jinan 250100, China.
Evid Based Complement Alternat Med. 2014;2014:618902. doi: 10.1155/2014/618902. Epub 2014 Jul 2.
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 m(2) 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.
遥感技术以其客观性和及时性在农业领域得到了广泛应用。然而,用于监测天然药用植物的应用却很少。在本文中,我们最初提出了一个多层次监测系统,包括卫星和航空遥感以及地面调查,用于监测四川省若尔盖县白河牧场的天然大黄资源。通过图像监测大黄的数量 M = S*ρ,其中 S 是通过卫星成像获得的植被覆盖率,而 ρ 是通过低空成像获得的大黄密度。由于遥感图像的分辨率为 0.1m(称为有效资源),只有覆盖面积超过 1m²的大黄才能从遥感图像中识别出来,而地面调查的结果代表了各种大小的大黄资源量(称为未来资源)。本文的数据表明,目前大黄的可用数量占总数量的 4%到 5%。该系统初步确定了白河牧场大黄的现有数量信息和种群结构。对于分布分散的天然药用植物,采用这种方法监测其数量分布是可行的。