Satellite imagery acquisition planning

The Agriculture sector became a high-technology industry in Turkey. The growth in agriculture has been monitoring with the help of Geographical Information Systems and Remote Sensing Technologies in last years. In order to grow crops in their own habitats with maximum efficiency, to apply supply and demand equilibrium and for sustainable development, establishment of Cropping Pattern Detection projects are very important and prior. Determining Cropping patterns such as corn, wheat, barley, sunflower, cotton, etc, provides an accurate agricultural inventory and information about the future demands. In this study, first of all the data from the Agricultural Statistics have been analyzed in order to define the five dominant crops per province based on the production area of those crops. The phenological periods of those crops have been asked to the experts from the Provincial Directorates of Agriculture. Data obtained from Provincial Directorates have been transformed to a table that can also be used as GIS data which includes; planting, blooming and harvest start/end dates. By joining this tabular data with provinces, crop based analysis results are obtained. According to derived periods, satellite imagery acquisition plan have been designed. As a result, data in order to form a basis of the Cropping Pattern Detection projects, satellite imagery acquisition dates are determined in accordance with these analysis. The crops phenological calendar is prepared in order to have an accurate planning for satellite imagery acquisition in SPOT 6 and SPOT 7.