Advanced Synthetic Aperture Radar techniques has emerged as a valuable asset in enhancing the capabilities of traditional Synthetic Aperture Radar (SAR) applications. For instance, the utilization of PolSAR data extends beyond quad-pol or full polarimetry, encompassing coherent dual-pol and compact-pol, presenting a notable advantage by incorporating polarimetric information without compromising other essential image parameters such as resolution, swath, and signal-to-noise ratio (SNR). In agriculture, PolSAR is invaluable for monitoring crop conditions and types, analyzing polarization responses to gain insights into crop health and growth stages, and identifying diseases or pest infestations. Environmental monitoring benefits from PolSAR's accurate land cover classification, distinguishing forests, wetlands, and urban areas. In forestry, PolSAR aids in assessing forest structure, estimating biomass, and monitoring deforestation. PolSAR is also crucial in disaster management, evaluating areas impacted by floods, earthquakes, or landslides, and identifying disaster-prone regions for timely responses. PolSAR data's versatility enhances our understanding of Earth's dynamic processes across multiple domains.