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作 者:JIANG Qi DAI Jingjing WANG Denghong WANG Chenghui TIAN Shufang
机构地区:[1]Key Laboratory of Metallogeny and Mineral Assessment,Ministry of Natural Resources,Institute of Mineral Resources,Chinese Academy of Geological Sciences,Beijing 100037,China [2]China University of Geosciences,Beijing 100083,China
出 处:《Acta Geologica Sinica(English Edition)》2023年第2期681-694,共14页地质学报(英文版)
基 金:supported by the National Key Research and Development Program of the China Geological Survey(DD20190173);the Fundamental Research Funds for the Institute of Mineral Resources,the Chinese Academy of Geological Sciences(KK2102);the National Natural Science Foundation of China(42172332);the Chinese Geological Survey Project(DD20190379)。
摘 要:Western Altun in Xinjiang is an important area,where lithium(Li)-bearing pegmatites have been found in recent years.However,the complex terrain and harsh environment of western Altun exacerbates in prospecting for Li-bearing pegmatites.Therefore,remote-sensing techniques can be an effective means for prospecting Li-bearing pegmatites.In this study,the fault information and lithologyical information in the region were obtained using the median-resolution remotesensing image Landsat-8,the radar image Sentinel-1 and hyperspectral data GF-5.Using Landsat-8 data,the hydroxyl alteration information closely related to pegmatite in the region was extracted by principal component analysis,pseudoanomaly processing and other methods.The high spatial resolution remote-sensing data WorldView-2 and WorldView-3 short-wave infrared images were used and analyzed by principal component analysis(PCA),the band ratio method and multi-class machine learning(ML),combined with conventional thresholds specified the algorithms used to automatically extract Li-bearing pegmatite information.Finally,the Li-bearing pegmatite exploration area was determined,based on a comprehensive analysis of the faults,hydroxyl alteration lithology and Li-bearing pegmatite information.Field investigations have verified that the distribution of pegmatites in the central part of the study area is consistent with that of Li-bearing pegmatites extracted in this study.This study provides a new technique for prospecting Li-bearing pegmatites,which shows that remote-sensing technology possesses great potential for identifying lithium-bearing pegmatites,especially in areas that are not readily accessible.
关 键 词:remote sensing prospecting multi-class machine learning Li-bearing pegmatites western Altun
分 类 号:P627[天文地球—地质矿产勘探] P618.71[天文地球—地质学]
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