Integrating GIS and remote sensing tools to identifying potential areas to host clay deposits in Las Tunas province
Keywords:
spatial analysis, Mining, geological information, Soluble Copper, clay potential, Chrysocolla, remote sensing, FlotationAbstract
Areas with potential to host clay deposits in Las Tunas province were identified by combining remote sensing data and geological information integrated in the Geographic Information System (GIS). Geological mapping, remote sensing and geospatial modeling techniques were used. The findings reveal a heterogeneous distribution of areas with moderate, high and very high potential to host clay deposits throughout the region, with significant concentrations in Manatí, Tunas, Jobabo, Colombia and Amancio municipalities. The integration of remotely sensed data and geological sources in a GIS environment are effective and feasible for this type of analysis.Downloads
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