Utilizing Remote Sensing and Satellite-Based Bouguer Gravity Data to Predict Potential Sites of Hydrothermal Minerals and Gold Deposits in Central Saudi Arabia

This article aims to aid in exploring and forecasting hydrothermal minerals gold deposits Central Saudi Arabia (SA), with a focus on structural contexts. Remote sensing (RS) satellite-based Bouguer gravity (SBG) data were integrated order create mineral prediction map for the researched location. Data from Landsat Operational Land Imager (OLI) Shuttle Radar Topography Mission (SRTM) transformed enhanced using variety of approaches. The delineation alteration zones (HAZs) highlighting discontinuities OLI made possible band ratios oriented principal component analysis (PCA). Additionally, underlying features successfully exposed by processing SBG edge detection techniques, like analytical signal (AS), total horizontal derivative (THD), tilt angle (TA), (TDX), theta (TM), (HD_TDR), gradient (HGTA), (TAAS), soft sign function (SF). As result, more prominent lineaments found NW–SE, NNW–SSE, NE–SW, NNE–SSW directions than N–S E–W directions. GIS incorporated surface/subsurface geological structure density maps alteration. It was that derived RS line HAZs, which demonstrated common connection between deep lineaments. findings revealed extremely low high probabilities. Overall, combining effectively identified probable mineralization sites associated processes it easier this study’s final predictive map.