Extraction of distribution information of Angelicae sinensis plants in Weiyuan county based on remote sensing technology.
10.19540/j.cnki.cjcmm.20190731.110
- Author:
Fei-Fei WEI
1
;
Rong LYU
1
;
Wei-Wei HE
1
;
Li WANG
1
;
Xi CHENG
1
;
Xiao-Bo ZHANG
2
;
Ting-Ting SHI
2
;
Ling JIN
3
Author Information
1. College of Pharmacy,Gansu University of Chinese Medicine Lanzhou 730000,China.
2. State Key Laboratory Breeding Base of Dao-di Herbs,Chinese Medicine Resource Center,China Academy of Chinese Medical Sciences Beijing 100700,China.
3. College of Pharmacy,Gansu University of Chinese Medicine Lanzhou 730000,China Research Institute of Chinese( Tibetan) Medicinal Resources Lanzhou 730000,China.
- Publication Type:Journal Article
- Keywords:
Angelica sinensis cultivation;
GF-1 satellite;
spatial distribution;
visual interpretation
- MeSH:
Angelica sinensis;
China;
Plants, Medicinal;
Remote Sensing Technology
- From:
China Journal of Chinese Materia Medica
2019;44(19):4125-4128
- CountryChina
- Language:Chinese
-
Abstract:
Due to the large amount of nutrients required during the cultivation of Angelica sinensis and in order to prevent the occurrence of pests and diseases,and the annual reduction of the planting area of Angelica and the balance of supply and demand of A. sinensis,the A. sinensis plantation adopts the rotation mode. This paper takes Wuyuan county of Gansu province as the research scope and use GF-1 Satellite data as the data source,using remote sensing technology combined with field survey results,to explore the effective method of visual interpretation for the extraction of A. sinensis planting area. A sample was selected to generate a spectrum according to different feature types. The different characteristics of A. sinensis and other features were analyzed and distinguished in remote sensing images,so that the A. sinensis planting plots were extracted and verified in remote sensing images. The results showed that the accuracy verification value of the visual interpretation method was 95. 85%. It is determined that the visual interpretation method can effectively extract the A. sinensis planting plots within the research scope and realize the comprehensive grasp of the spatial distribution information of A. sinensis.
