Planting area estimation of Paeonia ostii based on RS--by case study in Dangshan of Anhui province.
10.19540/j.cnki.cjcmm.20190731.108
- Author:
Min-Zhen YIN
1
;
Hui-Qun XIE
1
;
Ming-En CHENG
1
;
Yu-Jiao ZHAO
1
;
Ting-Ting SHI
2
;
Xiao-Bo ZHANG
2
;
Hua-Sheng PENG
3
Author Information
1. School of Pharmacy,Anhui University of Chinese Medicine Hefei 230012,China.
2. State Key Laboratory Breeding Base of Dao-di Herbs,National Resource Center for Chinese Materia Medica,China Academy of Chinese Medical Sciences Beijing 100700,China.
3. School of Pharmacy,Anhui University of Chinese Medicine Hefei 230012,China Institute of Traditional Chinese Medicine Resources Protection and Development,Anhui Academy of Chinese Medicine Hefei 230012,China.
- Publication Type:Journal Article
- Keywords:
Paeonia ostii;
maximum likelihood method;
remote sensing recognition
- MeSH:
China;
Medicine, Chinese Traditional;
Paeonia;
Remote Sensing Technology
- From:
China Journal of Chinese Materia Medica
2019;44(19):4107-4110
- CountryChina
- Language:Chinese
-
Abstract:
Moutan Cortex is one kind of famous medicinal materials. The dry root bark of Paeonia ostii which is a genuine medicinal material produced in Tongling,Anhui province,and later was introduced to Heze,Shandong province and Bozhou,Anhui province.Dangshan county is located at the northern end of Anhui province and adjacent to Shandong province. Its medicinal seedlings were came from Heze,Shandong province. At present,there is a lack of scientific investigation on the planting area of P. ostii in north China plain. On the basis of field investigation and remote sensing technology,through the data source provided by the remote sensing image of " Resources 3"( ZY-3),combined with the biological characteristics of P. ostii,the planting area of P. ostii in Dangshan county was extracted by field investigation and supervisory classification. The supervise classification method with the highest interpretation accuracy so far,the overall accuracy was 97. 81%,Kappa coefficient 0. 96. The results showed that the remote sensing classification method based on the maximum likelihood classification could extract P. ostii plots in the study area effectively. This study provides a scientific basis for the protection and rational utilization of traditional Chinese medicine resources,the development policy of traditional Chinese medicine industry and the long-term development plan in Dangshan county,and provides technical support for the poverty alleviation of traditional Chinese medicine industry in Dangshan county. It provides scientific reference for the application of remote sensing technology to investigate the planting area of P. ostii in in north China plain.
