Your browser doesn't support javascript.
loading
Investigation of Paeonia sinjiangensis resources using remote sensing and expert knowledge / 中国中药杂志
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-252168
Responsible library: WPRO
ABSTRACT
<p><b>OBJECTIVE</b>To study the effectiveness and feasibility of remote sensing technology in the rare species of wild plant resources.</p><p><b>METHOD</b>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.</p><p><b>RESULT</b>The land for P. sinjiangensis possible growth were mapped and accuracy tested was approving.</p><p><b>CONCLUSION</b>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.</p>
Subject(s)
Full text: Available Health context: SDG3 - Health and Well-Being Health problem: Target 3.9: Reduce the amount of deaths produced by dangerous chemicals and the pollution of the air, water and soil Database: WPRIM (Western Pacific) Main subject: Environmental Monitoring / Satellite Communications / Conservation of Natural Resources / Paeonia / Geographic Information Systems Type of study: Prognostic study Language: Chinese Journal: China Journal of Chinese Materia Medica Year: 2008 Document type: Article
Full text: Available Health context: SDG3 - Health and Well-Being Health problem: Target 3.9: Reduce the amount of deaths produced by dangerous chemicals and the pollution of the air, water and soil Database: WPRIM (Western Pacific) Main subject: Environmental Monitoring / Satellite Communications / Conservation of Natural Resources / Paeonia / Geographic Information Systems Type of study: Prognostic study Language: Chinese Journal: China Journal of Chinese Materia Medica Year: 2008 Document type: Article
...