碳酸盐岩
先进星载热发射反射辐射计
地质学
磷灰石
矿物学
地质图
遥感
露头
地球化学
主成分分析
独居石
地貌学
计算机科学
锆石
数字高程模型
地幔(地质学)
人工智能
作者
Cheikh-Elwali Malainine,Otmane Raji,Muhammad Ouabid,Abdou Khouakhi,Jean‐Louis Bodinier,Ahmed Laamrani,Hicham El Messbahi,Nasrrddine Youbi,Moulay Ahmed Boumehdi
标识
DOI:10.1080/10106049.2021.1953617
摘要
Mapping of carbonatites and related mineral deposits has occupied prominent place in mineral resource exploration programs given their potential to host valuable concentrations of critical metals such as rare earth elements and niobium. Based on spectral characteristics of most indicative minerals for these rocks, a mapping approach was developed using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data. The combination of band rationing outcomes with components from the principal component analysis and minimum noise fraction techniques highlighted the targeted rocks, with the excellent prospective zone representing ∼ 0.2% of the total investigated area. This approach was successfully applied to the Gleibat Lafhouda complex to rapidly delineate carbonatites and iron oxide-apatite ore outcrops. Results were validated through field observations and in-situ geochemical analysis using a portable X-ray fluorescence analyzer. Field data have also served as training data to perform a supervised classification, allowing further improvement of the mapping results.
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