利用卫星数据快速提取矿化岩性信息,是目前矿产资源勘查的重要技术手段之一。文章以新疆东天山土屋斑岩型铜矿区为研究区,基于该地区出露岩体相关矿物的可见光近红外波段(VNIR)至短波红外波段(SWIR)的光谱特征分析,对ASTER多光谱包括以...利用卫星数据快速提取矿化岩性信息,是目前矿产资源勘查的重要技术手段之一。文章以新疆东天山土屋斑岩型铜矿区为研究区,基于该地区出露岩体相关矿物的可见光近红外波段(VNIR)至短波红外波段(SWIR)的光谱特征分析,对ASTER多光谱包括以热红外(TIR)波段在内的全谱域数据进行处理,分别采用主成分分析(PCA)、波段比值(BR)、矿物指数算法识别和提取了研究区地表侵入体的岩性信息。同时,对ASTER 15 m DEM数据进行E-W方向滤波处理,提取和解译出土屋矿区控矿断裂构造信息,结合岩性信息分析控矿条件。最后,对遥感信息提取结果分别进行了矿物镜下与野外验证。展开更多
Plant species distributing in three Cu mining area were investigated, and Cu concentrations in soils and plants were analyzed. The results showed that Cu ore deposit mostly was distributed at the altitude of about 630...Plant species distributing in three Cu mining area were investigated, and Cu concentrations in soils and plants were analyzed. The results showed that Cu ore deposit mostly was distributed at the altitude of about 630 m. Elsholtzia splendens and Rumex acetosa were distributed only on the Cu ore deposit or the place with high Cu concentration, and the maximum Cu concentrations in these two plants were 1060 mg·kg -1 DW and 1006 mg·kg -1 DW, which reached the critical of hyperaccumulator. Cu accumulations in Elsholtzia splendens and Rumex acetosa were positively and closely correlated with Cu concentration in soil.展开更多
文摘利用卫星数据快速提取矿化岩性信息,是目前矿产资源勘查的重要技术手段之一。文章以新疆东天山土屋斑岩型铜矿区为研究区,基于该地区出露岩体相关矿物的可见光近红外波段(VNIR)至短波红外波段(SWIR)的光谱特征分析,对ASTER多光谱包括以热红外(TIR)波段在内的全谱域数据进行处理,分别采用主成分分析(PCA)、波段比值(BR)、矿物指数算法识别和提取了研究区地表侵入体的岩性信息。同时,对ASTER 15 m DEM数据进行E-W方向滤波处理,提取和解译出土屋矿区控矿断裂构造信息,结合岩性信息分析控矿条件。最后,对遥感信息提取结果分别进行了矿物镜下与野外验证。
文摘Plant species distributing in three Cu mining area were investigated, and Cu concentrations in soils and plants were analyzed. The results showed that Cu ore deposit mostly was distributed at the altitude of about 630 m. Elsholtzia splendens and Rumex acetosa were distributed only on the Cu ore deposit or the place with high Cu concentration, and the maximum Cu concentrations in these two plants were 1060 mg·kg -1 DW and 1006 mg·kg -1 DW, which reached the critical of hyperaccumulator. Cu accumulations in Elsholtzia splendens and Rumex acetosa were positively and closely correlated with Cu concentration in soil.