As a key technology for remote sensing applications, Synthetic Aperture Radar (SAR) offers high-resolution images for a range of Earth observation uses. In order to improve picture interpretation, feature extraction, and information retrieval, this work explores the incorporation of phasor mapping approaches into SAR data analysis. The first section of the study explains the basics of SAR and the difficulties in deciphering complicated SAR images. The introduction of phasor mapping presents a potent tool for streamlining the analysis and representation of SAR signals, allowing for a more intuitive comprehension of amplitudes, phase correlations, interferometry and polarimetric data. Phasor mapping is a crucial method used in Synthetic Aperture Radar (SAR) to handle complex-valued radar information. Radar pulses are first sent in the direction of the earth, and the backscattered signals that arise are gradually sampled. After enhancing the signal for better resolution using range compression, the SAR signal is represented as complex phasors. The amplitude and phase information of the received signals at certain spatial locations are captured by these phasors. Each pixel in the SAR picture is given a phasor using phasor mapping, which converts the complex-valued data into a visual representation. With the phase information being especially useful for applications like interferometry for Digital Elevation Models (DEMs) and terrain motion detection, the generated pictures provide light on the scattered distribution on the ground. In the end, phasor mapping is essential to deriving valuable insights from SAR data, paves a way of multitude possibilities for geospatial research and remote sensing applications. We provide a graphical user interface (GUI) and performance enhancing Ashmit transform 2 post processing step. The visual light provides an eye on path contained with stones (dihedrals), mud-water (volume scattering) and table top flat modulation or path (surface scattering). But our motivation on dihedral and volume scattering in InSAR and MRIs. So phase unwrapping or phasor mapping is an indispensable for radiologist or geologist. The GUI of phase unwrapping and Ashmit transform 2 post processing helps to detect the radio transceiver in pixel range hence in medical, military, and civil services, it is a good modular change.