Agriculture is the mainstay of Indian economy. The country has the second largest population in the world whose demand of food is sustained by agriculture. Geo-informatics plays a vital role in management of agricultural activities on sustainable basis. A Synthetic Aperture Radar (SAR) system operating in the microwave region of the electromagnetic spectrum has an ability of imaging the earth surface day and night even during cloudy weather. Present study was carried out for generation of radar spectral signature (RSS) of kharif season crops using multi-temporal Sentinel-1A, synthetic aperture radar (SAR) data acquisition in C-band with vertical transmit and vertical receive (VV) polarization. Multi-temporal Sentinel-1A SAR images (May to September) covering the all main phenological stages of crop were acquired. Due to the presence of multiple scatters within the crop volume scattering of radar energy occurs when the SAR beam penetrates the crop. In volume scattering multiple bounces and reflection from the different components of the crop occurs thus resulting in high backscattering values. Depending upon the backscattering values in multi-temporal SAR data the cotton crop is further segregated in two categories i.e. late sown and early sown cotton crop. SAR backscatter values for cotton and other associated major kharif season crops were noted on multi-temporal SAR data. Each crop has different date of sowing and growing pattern also having difference in crop biomass, moisture content, plant height, plant density per meter square. Due to this a significant difference in radar backscatter values for the different crops in multi-temporal SAR data was observed during their growing period. The results of the study demonstrate the potential of multi-temporal Sentinel-1A, SAR data for monitoring and identification of cotton crop.