Bletilla striata planting area in Ningshan county extraction based on multi-temporal remote sensing images.
10.19540/j.cnki.cjcmm.20190731.112
- Author:
Ji-Qing BAI
1
;
Su GAO
2
;
Peng-Fei WANG
2
;
Lin WANG
3
;
Wei-Wei LIU
3
;
Xiao-Ping WANG
2
;
Xiao-Bo ZHANG
4
;
Ting-Ting SHI
4
Author Information
1. Shaanxi University of Chinese Medicine Xianyang 712046,China Shaanxi Quality Monitoring and Technology Service Center for Chinese Materia Medica Raw Materials Xianyang 712046,China.
2. Shaanxi University of Chinese Medicine Xianyang 712046,China.
3. Ningshan County Hospital of Traditional Chinese Medicine Ningshan 711600,China.
4. 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.
- Publication Type:Journal Article
- Keywords:
Bletilla striata;
Ningshan county;
multi-temporal remote sensing;
planting area;
visual interpretation
- MeSH:
Forests;
Medicine, Chinese Traditional;
Orchidaceae;
Remote Sensing Technology
- From:
China Journal of Chinese Materia Medica
2019;44(19):4129-4133
- CountryChina
- Language:Chinese
-
Abstract:
Traditional Chinese medicine is planted in mountainous areas with suitable natural conditions. The planting area is complex in terrain,and the planting plots are mostly irregularly shaped. It is difficult to accurately calculate the planting area by traditional survey methods. The method of extracting Chinese herbal medicine planting area combined with remote sensing and GIS technology is of great significance for the rational development and utilization of traditional Chinese medicine resources. Taking Bletilla striata planting in Ningshan county of Shaanxi province as an example,the extraction method of planting area of traditional Chinese medicine in county was studied. High-resolution ZY-3 and GF-1 multi-spectral multi-temporal remote sensing images were used as data sources. Through field sampling,samples such as B. striata,cultivated land,forest land,water body,artificial surface,alpine meadow,etc. are collected. The spectral features,texture features and shape features of remotely identifiable objects in different planting areas and cultivated land,vegetable sheds were analyzed,confusing ground objects were eliminated and interpretation marks were establish. The method of visual interpretation is used to realize the extraction of B. striata planting areas,and the B. striata planting area are calculated by combining GIS technology. The results showed that the method of visual interpretation,using high-resolution ZY-3 and GF-1 multi-spectral multi-temporal remote sensing image data extracted the planting area of 403.05 mu. It can effectively extract the B. striata planting area in research region.
