The problem of designing large scale crop surveys which utilize Landsat data is addressed in this paper. Emphasis is on stratification and sampling approaches designed to achieve preselected precisions while permitting manageable data processing and survey costs. A dynamic area sampling frame which is versatile and highly suited for sampling of Landsat data is discussed along with the use of rotation sampling for incorporating multiple years of information into the area estimation