Impact of DEMs for Improvement Sentinel 2 Lithological Mapping Utilizing Support Vector Machine: A Case Study of Mineralized Fe-Ti-Rich Gabbroic Rocks from the South Eastern Desert of Egypt

Fused remote sensing datasets have greatly contributed to enhancing lithological targets and providing significant information for mineral exploration. For instance, multispectral can discriminate rock units through their unique spectral signatures. Digital Elevation Models (DEMs) could be an effective tool boosting discrimination based mainly on topographic variations. Consequently, the current study applied power of support vector machine (SVM) algorithm integrated Phased Array L-type band Synthetic Aperture Radar (PALSAR) DEM Sentinel 2 data to: 1—Create updated map a poorly mapped arid terrain (Khashir-Ras El-Kharit district, Eastern Desert Egypt), 2—Compare assess distribution ferrogabbros with aim improving localization these bodies investigating content. Our results enhanced mapping revealed better generalization mineralized when input was fused compared salt pepper effect observed adopting solely as data. Additionally, research strongly recommends detailed exploration programs Fe-Ti oxide ores within gabbroic rocks delineated resultant thematic map. The were subjected comprehensive analysis involving whole geochemistry, XRD, EDX, light-reflecting investigations, which existence magnetite, titanomagnetite, hematite. titanomagnetite crystals display subhedral morphology exhibit fine- medium-grained surfaces irregular shapes. X-ray diffraction (XRD) presence magnetite hematite in concentrated oxides. geochemistry highlighted origin proposed tectonic setting alkaline calc-alkaline magma type that developed continental arc setting.