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Natural Resource Monitoring of Rheum tanguticum by Multilevel Remote Sensing
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 invest...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4101945/ https://www.ncbi.nlm.nih.gov/pubmed/25101134 http://dx.doi.org/10.1155/2014/618902 |
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author | Xie, Caixiang Song, Jingyuan Suo, Fengmei Li, Xiwen Li, Ying Yu, Hua Xu, Xiaolan Luo, Kun Li, Qiushi Xin, Tianyi Guan, Meng Xu, Xiuhai Miki, Eiji Takeda, Osami Chen, Shilin |
author_facet | Xie, Caixiang Song, Jingyuan Suo, Fengmei Li, Xiwen Li, Ying Yu, Hua Xu, Xiaolan Luo, Kun Li, Qiushi Xin, Tianyi Guan, Meng Xu, Xiuhai Miki, Eiji Takeda, Osami Chen, Shilin |
author_sort | Xie, Caixiang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4101945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-41019452014-08-06 Natural Resource Monitoring of Rheum tanguticum by Multilevel Remote Sensing Xie, Caixiang Song, Jingyuan Suo, Fengmei Li, Xiwen Li, Ying Yu, Hua Xu, Xiaolan Luo, Kun Li, Qiushi Xin, Tianyi Guan, Meng Xu, Xiuhai Miki, Eiji Takeda, Osami Chen, Shilin Evid Based Complement Alternat Med Research Article 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. Hindawi Publishing Corporation 2014 2014-07-02 /pmc/articles/PMC4101945/ /pubmed/25101134 http://dx.doi.org/10.1155/2014/618902 Text en Copyright © 2014 Caixiang Xie et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Xie, Caixiang Song, Jingyuan Suo, Fengmei Li, Xiwen Li, Ying Yu, Hua Xu, Xiaolan Luo, Kun Li, Qiushi Xin, Tianyi Guan, Meng Xu, Xiuhai Miki, Eiji Takeda, Osami Chen, Shilin Natural Resource Monitoring of Rheum tanguticum by Multilevel Remote Sensing |
title | Natural Resource Monitoring of Rheum tanguticum by Multilevel Remote Sensing |
title_full | Natural Resource Monitoring of Rheum tanguticum by Multilevel Remote Sensing |
title_fullStr | Natural Resource Monitoring of Rheum tanguticum by Multilevel Remote Sensing |
title_full_unstemmed | Natural Resource Monitoring of Rheum tanguticum by Multilevel Remote Sensing |
title_short | Natural Resource Monitoring of Rheum tanguticum by Multilevel Remote Sensing |
title_sort | natural resource monitoring of rheum tanguticum by multilevel remote sensing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4101945/ https://www.ncbi.nlm.nih.gov/pubmed/25101134 http://dx.doi.org/10.1155/2014/618902 |
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