Comprehensive Multi-Source remote sensing data integration for enhanced mineralization alteration extraction and geological structure interpretation in the Lala region of Sichuan Province

作者：Geng Zhang, Zhifang Zhao, Xinle Zhang, Xiatao Wu, Yangfan Zheng, Lunxin Feng, Ziqi Huang · 发表于：Ore Geology Reviews · 年份：2024 · DOI：10.1016/j.oregeorev.2024.106032 · 被引用次数：22 · 研究领域：Geochemistry and Geologic Mapping、Remote-Sensing Image Classification、Mining and Resource Management

The Lala Copper Deposit, situated in the Kangdian Copper Belt, is a substantial copper reservoir. In recent years, extensive exploration for copper resources in the region has become critically important due to the growing demand for Lala copper deposit resources. Alteration minerals, serving as crucial indicators for prospecting, have not undergone systematic study regarding their spatial distribution and remote sensing geological structural features in the Iron Oxide-Copper-Gold (IOCG) type deposits of the Lala region. Multispectral and hyperspectral remote sensing data prove to be effective tools for exploring mineralization information. In this study, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and Principal Component Analysis (PCA) are utilized to extract the distribution of carbonate, iron oxides/hydroxide and quartz minerals. Gaofen-5 (GF-5) data and the Spectral Angle Mapper (SAM) method are applied to extract minerals such as albite, biotite, chlorite, hornblende and muscovite. Sentinel-2 data are employed for remote sensing geological structure interpretation in the Lala region. The results of remote sensing alteration anomaly extraction are validated through field verification, indoor spectral scanning analysis, and the calculation of the SID_SAM index. The mineralization alteration information extracted through remote sensing aligns well with field conditions upon verification. The SID_SAM indices for ASTER and GF-5 extraction resul...