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[Investigation of Paeonia sinjiangensis resources using remote sensing and expert knowledge].
Zhang, Zi-li; Qin, Qi-ming; Dong, Yu-zhi; Dai, Fan-wei; Yao, Yun-jun; Wang, Zhao-qiang.
Afiliação
  • Zhang ZL; Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China. zzl.xj@tom.com
Zhongguo Zhong Yao Za Zhi ; 33(16): 1941-4, 2008 Aug.
Article em Zh | MEDLINE | ID: mdl-19086623
ABSTRACT

OBJECTIVE:

To study the effectiveness and feasibility of remote sensing technology in the rare species of wild plant resources.

METHOD:

The mechanism and characteristics of Paeonia sinjiangensis were analyzed to find the possibility of extracting from TM imagery. An expert system has been used with Landsat Thematic Mapper data to derive P. sinjiangensis. Then logical decision rules were used with the various datasets to assign values.

RESULT:

The land for P. sinjiangensis possible growth were mapped and accuracy tested was approving.

CONCLUSION:

The results suggest that the remote sensing expert interpretation system using satellite imagery and ancillary data will be feasible for research of rare wild medicinal plants distribution.
Assuntos
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Paeonia / Sistemas de Informação Geográfica Tipo de estudo: Prognostic_studies Idioma: Zh Ano de publicação: 2008 Tipo de documento: Article
Buscar no Google
Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Paeonia / Sistemas de Informação Geográfica Tipo de estudo: Prognostic_studies Idioma: Zh Ano de publicação: 2008 Tipo de documento: Article