For specific crop mapping, temporal data is used to handle the spectral overlap between classes. But a number of times, availability of temporal optical remote sensing data is not consistent with the requirements. In this study, a medicinal crop, psyllium husk, was mapped in Jalore district of Rajasthan, India while trying to integrate optical temporal data with synthetic aperture radar (SAR) data. Vegetation indices derived from optical and SAR data, i.e., modified soil adjusted vegetation index 2 (MSAVI2) and radar vegetation index (RVI), respectively, were used to prepare temporal indices databases. Three different temporal layer combinations of MSAVI2 and RVI layers, corresponding to different phenological stages of the target crop, were studied to determine the efficacy of different sensors for crop mapping. The outputs were assessed on the basis of classification efficiency with mean membership difference and variance for determining the effect of heterogeneity in the mapped fields. The results were compared with those obtained using only optical temporal data. From the results obtained, it was observed that the introduction of SAR-based vegetation index as a temporal layer gave good results for fully vegetated and harvest stages of the target crop. The variance within mapped fields was observed as low as 0.0003.