Table 4 Application of the ASTER, ALI, and Hyperion data in the field of lithological mapping and ore minerals exploration

ASTER

Identification the variety of igneous felsic, mafic-ultramafic rocks, metamorphic rocks, sedimentary rocks, and ophiolite components. Faults, fractures, anticlinal or synclinal faults, and lithological boundaries.

Identification and discrimination of gossan, argillic, advanced argillic, phyllic, potassic, propylitic and silicic zones.

Detection of serpentinized harzburgite.Identification of magnetite quartzite, sodid-calcic zone, potassic and silicic-phyllic patterns.

Identification the variety of iron oxide/hydroxid-es minerals, clay minerals chlorite and epidote mineral groups, carbonate minerals, and silicate minerals.

Detection of gossan, propylitic, and silicic zones.

ALI

Detection the variety of igneous, metamorphic, sedimentary, and ophiolite rock complex. Faults, fractures and lithological boundaries at regional scale.

Identification of hydrothermally altered rocks at regional scale.

Identification of serpentinized harzburgite. Iron oxide/hydrox-ides minerals.

Detection and discrimination the variety of iron oxide/hydroxid-es minerals. Identification of clay minerals at regional scale.

Detection of gossan.

Hyperion

Chemical composition of different types of rocks and mineral abundance in the rocks at district scale. Detection of lithological boundaries, faults, fractures, and joints at district scale.

Detection the abundance of specific minerals in hydrothermal alteration zones at local and district scales.

Detection of serpentinized harzburgite. Identification of magnetite quartzite, sodid-calcic zone, potassic and silicic-phyllic patterns at district scale.

Detection the abundance of iron oxide/hydroxid-es minerals, clay minerals chlorite and epidote mineral groups, carbonate minerals in the soil at local and district scales.

Detection of gossan and propylitic zones at local and district scales.