Crop classification by remote sensing based on spectral analysis

In order to acquire the information of crop classification to estimate crop yield accurately in Northeast China, four kinds of crops (rice, wheat, maize, soybean) were taken as study objects and 250 m MODIS time-series NDVI data was used to analyze the crop distribution patterns based on spectral analysis method. The area derived from the crop classification result was compared with the planted area from statistical data，and the results showed that the correlation of soybeans was better than maize and rice, with R2=0.770, 0.710, 0.686 respectively. The crop classification method used in the study is suitable for the situation with limited experimental conditions, difficult for obtaining measurements (remote sensing data as the main data source) and large planting area with single crop.