Estimation of autumn harvest crop planting area based on NDVI sequential characteristics

NDVI sequential characteristics of various ground objects was analyzed which was on MODIS data of Jiangling County, Hubei Province. By the standards of crop rotation period’s data and NDVI mean value, spatial distributions of three kinds of crops were obtained using BP neural network supervised classification based on the hierarchical method for crop regions and non-crop regions distinguishing. Compared with standard results calculated with ETM data, the average error ratio of the research is 13.6%. Results indicated that the method can accurately reflect various crop distributions in Jiangling county and be applied for crops classification.