Um Balad area has a good potential for further gold exploration because of the existence of extensive and intense alteration zones. The use of Remote Sensing data supported by Airborne Gamma-Ray Spectrometry (AGRS) data analyses enabled the exploration of new gold occurrences in the alteration zones at the Um Balad area. False Color Composites (FCC), Color Ratio Composites (CRC), Principal Component Analysis (PCA), and Minimum Noise Fraction (MNF) techniques were integrated for delineating the contacts between the exposed rock units. The signature-based supervised classification techniques named Spectral Angle Mapper (SAM) and Spectral Information Divergence (SID) techniques were integrated for mapping the alteration minerals present in the gold-related alteration zones. The automatic lineament extraction technique is used as well. Airborne radiometric data were applied through the use of gamma-ray spectrometry; Potassium (K %), Equivalent Thorium (eTh ppm), Equivalent Uranium (eU ppm), and Total Count, as well as the parameters of hydrothermal alteration; F-parameter (F), and Th-Normalization (Kd, Ud) approaches. Besides, the ratio maps; eU-(eTh/3.5), eTh/ K, eU/K, and eU/eTh maps were utilized for delineating the potassic and phyllic hydrothermal alteration. The alterations are confined to the volcanic and plutonic rocks depending on the lineament and fracture density among such rocks, in which the upcoming hydrothermal solutions follow the rock lineament paths and leaving marks of alteration zones and mineral specifications in these rocks. These altered minerals are potentially associated with valuable minerals as sulfides and gold precipitations in the altered areas. The remote sensing derived results show a good correlation with Airborne Gamma-Ray Spectrometry; in which analysis was accurate and helpful for mapping the lithological units, and detecting and mapping Gold related alteration zones. Consequently, these techniques are recommended for such studies in other areas.