RESUMEN
OBJECTIVE： To provide reference for the development and sustainable utilization of TCM industry with regional characteristics. METHODS： Taking Shicheng county of Jiangxi province as an example， field investigation was carried out on Paeoniaceae suffruticosa planting base in the county， a few representative P. suffruticosa planting bases in the county were selected as sample points， and GPS was used to locate and record the location information of sample points. The remote sensing image was automatically extracted by computer， the artificial visual interpretation method was used to get P. suffruticosa planting area image. Then combined with the field inspection verification， P. suffruticosa planting area was obtained， and the investigation results were analyzed. RESULTS： Through remote sensing interpretation of the planting area of P. suffruticosa in Shicheng county， it was obtained that the total planting area of P. suffruticosa in Shicheng county was 42 597 951.505 square meters （63 864.995 mu） in 2018， accounting for about 33％ of the cultivated land area， which was 42.12％ higher than the conventional planting area of 44 936 mu in 2013. The distribution of P. suffruticosa planting in Shicheng county was mainly concentrated in Xiaosong town and Fengshan town in the north， and Daqu town and Pingshan town in the south. CONCLUSIONS： Remote sensing technology has the advantages of fast data acquisition， large amount of information， high accuracy and strong timeliness， which greatly avoids the complexity of work， saves a lot of manpower and material resources. The technology can provide technology support for obtaining the regional planting area and distribution information of TCM such as P. suffruticosa， dynamic monitoring， scientific warning of the market status of TCM， and guiding the large-scale， standardized and intensive development of TCM cultivation.
RESUMEN
The planting area of Chinese medicinal materials is an important basis for formulating policies such as production and poverty alleviation of Chinese medicinal materials and is determining the quantity of medicinal materials trade. Accurately mastering the information of the distribution,area and yield of Chinese medicinal materials cultivation is the basis of the adjustment of the planting structure of traditional Chinese medicine. It is now the largest planting place of Mongolian traditional Chinese medicinal materials in Naiman banner that is belonging to Tongliao city,Inner Mongolia. It is of great significance to obtain the planting area of Mongolian Chinese medicinal materials in Naiman banner in time and effectively for the development of subsequent industries. In this study,Saposhnikovia divaricata,a medicinal plant planted in Naiman banner,was selected as an example,and the fusion 2 m resolution ZY-3 remote sensing image was used as the data source. Based on the ground survey data,the sample data of each typical ground object were selected,and the spectral characteristic curves of different ground objects were obtained,and the S. divaricata spectral information was obtained. Using the filtering texture analysis method based on probability statistics,five kinds of texture image display results under different texture filtering were compared and analyzed,and finally the S. divaricata texture features based on information entropy are determined. The distribution range and planting area of S. divaricata in Naiman banner were extracted and interpreted by using the texture and spectral information of remote sensing images. The results showed that: S. divaricata was mainly distributed in the northeast and central south of Naiman banner,and the planting area was 5 336 mu( 1 mu≈667 m2). The field verification data were in good agreement with the remote sensing interpretation results,and the difference was small. It shows that the combination of spectral information and texture information can realize the discrimination of S. divaricata,and the interpretation results can provide a reference for the county to formulate the poverty alleviation action of Chinese medicinal material industry and the economic development plan of agricultural producing areas.