Paleochannels are essential sources of groundwater in the arid region. To effectively use these resources, they must be precisely located and understood through remote sensing, drilling, and hydrogeological investigations. The information gathered from these studies can be used to assess the potential for sustainable development of groundwater resources in the paleochannels. According to several recent studies, Synthetic Aperture Radar (SAR) data provides better insight into subsurface features, such as buried channels, than optical sensor data due to the ability of microwave signals to penetrate dry sand. In this paper, we investigated the ability of multifrequency L and C band SAR satellite datasets to delineate the paleochannels in the Thar desert region of Western Rajasthan, India. This study used images from ALOS-2 and Sentinel-1 for subsurface understanding in the desert area. Adaptive filter image enhancement was used on both L-band and C-band SAR datasets. It was observed that cross-polarization channels in the L-band ALOS-PALSAR-2 were more sensitive to the buried channel enhancement compared to the Cband. This was because of the more penetration capability of the L band datasets in the Paleochannels. The study found higher radar backscatter coefficient (sigma o) values along the probably buried channel compared to surrounding regions, indicating higher soil moisture content in the channel. The results also revealed that post-monsoon data is more effective for delineating the Paleochannels because they have greater moisture levels along their old courses. Additionally, results were validated through field observations and comparison with prior literature. Further, validation was done through Ground Penetrating Radar (GPR) imaging and sediment analysis. These results provide a fresh understanding for identifying buried channels in the ancient environment of the Thar desert region. The findings showed that longer wavelength SAR data, like Lband SAR, can help find shallow buried channels in dry areas. However, both L and C band SAR data can be more effective for getting precise information about near-surface paleochannels in the desert area, which are very crucial for mapping groundwater potential and managing the water resources in this region.