Extracting Paeonia lactiflora planted area in Dangshan of Anhui province based on ZY-3 remote sensing image.
10.19540/j.cnki.cjcmm.20190731.106
- Author:
Mei YANG
1
;
Ling-Li CHEN
1
;
Xiao-Bo ZHANG
2
;
Yu-Jiao ZHAO
1
;
Ting-Ting SHI
2
;
Ming-En CHENG
3
;
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 lactiflora;
planting area estimation;
remote sensing;
supervised classification
- MeSH:
China;
Paeonia;
Remote Sensing Technology
- From:
China Journal of Chinese Materia Medica
2019;44(19):4101-4106
- CountryChina
- Language:Chinese
-
Abstract:
In order to comprehensively monitor the dynamic change of Paeonia lactiflora planting area,the investigation of P. lactiflora planting area in Dangshan was carried out. It can provide reference for the planting detection of P. lactiflora in Huaibei Plain.Based on remote sensing technology,this paper extracts the planting area of P. lactiflora in Dangshan in 2018 by using the minimum distance method,maximum likelihood method,parallel hexahedron method and Mahalanobis distance method,using the remote sensing image of ZY-3 Satellite as the data source,and makes a comparative analysis with the results. The results show that the maximum likelihood method is better than the other three methods. This method can provide reference for remote sensing monitoring of P. lactiflora planting area in China.
