Accurate information of actual paddy field area is very importance for food security to support decision making. Remote sensing data is a use-full tools to detect and to create the paddy field area information, because of spatial and temporal characteristics. It is challenging in using the time series single polarization Synthetic Aperture Radar (SAR) data to detect such information. This research used the Sentinel-1 VH polarization and GRD level in Subang district of West Java in 2018 with 12-days temporal interval, around 30 temporal data were used. The remote sensing image pre-processing steps were applied in every single data such as geometric correction, backscattered calculation, topographic flattening, and lee filtering. The ready data was in 30x30 meter pixel resolution then be filtered by temporal filter using median moving window. Then, it was transformed using phenological approach by temporal transformation. The are several RGB composite products were compared and analyzed by using paddy field map from Ministry of Agriculture as reference data. The results show that the best RGB composite for detecting paddy field area is the RGB temporal combination of minimum backscatter Jan-June as Red layer, minimum backscatter July-December as Green layer, and maximum backscatter Jan-December as Blue layer. The blue color indicates the paddy field, it means that during Jan-June and July-Dec the area was inundated, and during a year there was vegetation covering the area.