Over the past decade, the scientific interest of the location of cropping systems, including both the crop sequences and the crop management systems, has been increasingly noticed by researchers who associated crop rotations instead of single crop for representing cropping patterns in their models (nitrogen fluxes, animal habitat preference, etc.) and further analyzing the environmental impacts of agricultural production systems. However, in existing modeling frameworks of land-use/cover change, especially agricultural land-use change, few models integrate agricultural land management practices such as crop rotations (Schonhart et al., 2011). In this paper, we aim at investigating crop sequence patterns at large regional scale by performing statistic technique on surveyed land-cover data.