Natural Resource Monitoring of Rheum tanguticum by Multilevel Remote Sensing
Joint Authors
Chen, Shi-Lin
Xie, Caixiang
Suo, Fengmei
Li, Xiwen
Li, Ying
Yu, Hua
Xu, Xiaolan
Luo, Kun
Li, Qiushi
Xin, Tianyi
Guan, Meng
Xu, Xiuhai
Miki, Eiji
Takeda, Osami
Song, Jingyuan
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-02
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Xie, Caixiang& Song, Jingyuan& Suo, Fengmei& Li, Xiwen& Li, Ying& Yu, Hua…[et al.]. 2014. Natural Resource Monitoring of Rheum tanguticum by Multilevel Remote Sensing. Evidence-Based Complementary and Alternative Medicine،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1035304
Modern Language Association (MLA)
Xie, Caixiang…[et al.]. Natural Resource Monitoring of Rheum tanguticum by Multilevel Remote Sensing. Evidence-Based Complementary and Alternative Medicine No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1035304
American Medical Association (AMA)
Xie, Caixiang& Song, Jingyuan& Suo, Fengmei& Li, Xiwen& Li, Ying& Yu, Hua…[et al.]. Natural Resource Monitoring of Rheum tanguticum by Multilevel Remote Sensing. Evidence-Based Complementary and Alternative Medicine. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1035304
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1035304