Study of extracting natural resources of Chinese medicinal materials planted area in Luoning of Henan province based on UAV of low altitude remote sensing technology and remote sensing image of satellite.
10.19540/j.cnki.cjcmm.20190731.102
- Author:
Fei ZHANG
1
;
Zhi-Xian JING
2
;
Bao-Yu JI
3
;
Li-Xin PEI
4
;
Sui-Qing CHEN
4
;
Xuan-Ying WANG
1
;
Xiao-Bo ZHANG
2
;
Ting-Ting SHI
2
;
Lu-Qi HUANG
2
Author Information
1. Pharmacy College of Henan University of Chinese Medicine Zhengzhou 450046,China.
2. State Key Laboratory Breeding Base of Dao-di Herbs,National Resource Center for Chinese Materia Medical,China Academy of Chinese Medical Sciences Beijing 100700,China.
3. Pharmacy College of Henan University of Chinese Medicine Zhengzhou 450046,China Collaborative Innovation Center for Respiratory Disease Diagnosis and Treatment & Chinese Medicine Development of Henan Province Zhengzhou 450046,China School Pharmaceutical Science and Technology,Tianjin University Tianjin 300072,China.
4. Pharmacy College of Henan University of Chinese Medicine Zhengzhou 450046,China Collaborative Innovation Center for Respiratory Disease Diagnosis and Treatment & Chinese Medicine Development of Henan Province Zhengzhou 450046,China.
- Publication Type:Journal Article
- Keywords:
Luoning county;
SVM;
UAV;
planting area estimation;
sensing image
- MeSH:
Altitude;
Drugs, Chinese Herbal;
Medicine, Chinese Traditional;
Natural Resources;
Remote Sensing Technology;
Support Vector Machine
- From:
China Journal of Chinese Materia Medica
2019;44(19):4095-4100
- CountryChina
- Language:Chinese
-
Abstract:
The study is aimed to effectively obtain the planting area of traditional Chinese medicine resources. The herbs used as the material for traditional Chinese medicine are mostly planted in natural environment suitable mountainous areas. The UAV low altitude remote sensing data were used as the samples and the GF-2 remote sensing images were applied for the data source to extract the planting area of Salvia miltiorrhiza and Artemisia argyi in Luoning county combined with field investigation. Remote sensing satellite data of standard processing obtain specific remote sensing data coverage. The UAV data were pre-processed to visually interpret the species and distribution of traditional Chinese medicine resources in the sample quadrat. Support vector machine( SVM) was used to classify and estimate the area of traditional Chinese medicine resources in Luoning county,confusion matrix was used to determine the accuracy of spatial distribution of traditional Chinese medicine resources. The result showed that the application of UAV of low altitude remote sensing technology and remote sensing image of satellite in the extraction of S. miltiorrhiza and other varieties planting area was feasible,it also provides a scientific reference for poverty alleviation policies of the traditional Chinese medicine Industry in local areas.Meanwhile,research on remote sensing classification of Chinese medicinal materials based on multi-source and multi-phase high-resolution remote sensing images is actively carried out to explore more effective methods for information extraction of Chinese medicinal materials.
