It is necessary to monitor the crop pattern in parcel level and to obtain the data having agricultural statistic value to ensure that the national agricultural policies are implemented in a more rational and effective way. It is known that the most common means used to apply agricultural policies are premium - support systems. However, inaccuracies in crop pattern statements of producer, deviations in the amount of cultivated area and erroneous the yield declarations prevent to apply the premium support system in an effective way. Therefore, monitoring of agricultural crop pattern in parcel level is of a vital importance. The effective monitoring of agricultural crop pattern can only be possible by means of using in conjunction withGeographic Information System (GIS) and Remote Sensing (RS) data. In this project that is a pilot study, cotton production, one of the most common of agricultural products in the Aegean Region, is selected as crop pattern example. In this project, the agricultural parcels digitized by General Directorate of Agricultural Reform (GDAR) are used as a basis. Information system of agricultural parcels are integrated with Farmer Registration System (FRS) data containing statement information to gain the farmer statement information belonging to each agricultural parcel as an attribute data. Rapid Eye and SPOT satellite images covering an area of 11.179 km2 are used to monitor the crop pattern in parcel level and perform the farmer statement checks. Shooting of satellite images was made in August when land cover ratio of the cotton plant is the highest stage. The results obtained from this pilot project are shown that applied method may be used to monitor other common agricultural products and to control the farmer statements.