The crop distribution of Yellow River Delta using remote sensing method
黄河三角洲农作物种植分区的遥感研究

Agriculture plays an important and basic role in the Yellow River Delta It is quite essential for agricultural managers to understand the information on allocation of crop production as a whole The traditional way of obtaining the information on crop allocation is the statistical or investigation method Compares to the traditional method, the remote sensing techniques have the advantages of quickness, precision and visualization in providing the information of crop production There are also difficulties for remote sensing to discriminate different crop areas because all the crops have similar spectrum curves on the remote sensing images To solve this problem, in this paper three remote sensing images of the Yellow River Delta at different stages of a year are used, and three NDVI maps are obtained based on the images respectively which are combined into one NDVI image Because the NDVI varieties of crops planted in different fields are different during the year, there will be different regions which show different colors on the combined image Samples from different color regions are analysed and it can be confirmed that the red area in the combined image is the region where winter wheat, corn and soybean are planted, the purple area is the region where cotton, spring corn and other crops are planted, the light blue area is the region where rice is planted and the light green area is the region where forest and grass are planted According to the characteristics of NDVI in different color areas the combined NDVI image is classified using unsupervised classification method and supervised classification method Finally the classification result is analysed Through this research we can understand the crop planting system of the Yellow River Delta macroscopically, and can provide service for the sustainable development of agriculture in the Yellow River Delta