Agriculture is one of the foundations of the economy which is associated with the production of human food. Because of vast areas of agricultural resources in the world, monitoring the extent of resources through conventional ground mapping is very expensive. However, such information plays a key role for various governmental and local organizations for a better optimization of resource management. In addition, classification of the plants is important for various reasons including justifying subsidies, maintaining the water resources in areas that suffer from drought, and estimates of the amount of the product in order to predict the market situation and the prices. Therefore, monitoring of agricultural areas is one of the most important topics to be considered in different communities. This study evaluates the capability of single-pass bistatic dual polarimetry X-band data for tracking the evolution of physical structure, biophysical characteristics and the respective phenological changes of different crop types during the growing season. Time series of normalized difference vegetation index (NDVI) values are used as an extra source of information to help the interpretations based on photosynthesis activities and chlorophyll changes of crops. The temporal changes of the polarimetric and interferometric parameters are analyzed and the results are integrated with the changes in NDVI time series extracted from Landsat images. Digital Elevation Model (DEM) time series, produced from multiple TDX data, is also investigated for tracking crop height evolution.