QuickBird Imagery for Crop Pattern Mapping
高精度作物分布图制作

With a vast territory, complicated natural conditions, multiplicity of crop structure, small and dispersive distribution of parcel, the precision of crop distribution maps based on remote sensing imagery can't satisfy the need of crop yield forecasting. For this study, the paper using QuickBird high spatial resolution satellite imagery created detailed crop pattern map in a test site of Taigu, Shanxi province, where the crop pattern is very complexity in autumn. First,the QuickBird image was divided into segments by using object-oriented image segmentation technique. Second, the main land cover was classified by using spectral, spatial and contextual information based on fuzzy logic. Finally the detailed crop distribution map with high accuracy was made by combining the classification result and the field investigation. In spite of the high spatial resolution of the QuickBird BIRD image, classes such as different crops are still fairly difficult to identify. So the field investigation is very important. The map provides a more accurate spatial pattern of crops,and is useful for crop yield forecasting.