IGSNRR OpenIR
lithologicaldiscriminationofthemaficultramaficcomplexhuitongshanbeishanchinausingasterdata
Lei Liu1; Jun Zhou1; Dong Jiang2; Zhuang Dafang2; Lamin R Mansaray1
2014
Source Publicationjournalofearthscience
ISSN1674-487X
Volume25Issue:3Pages:529
AbstractThe Beishan area has more than seventy mafic-ultramafic complexes sparsely distributed in the area and is of a big potential in mineral resources related to mafic-ultramafic intrusions. Many mafic-ultramafic intrusions which are mostly in small sizes have been omitted by previous works. This research takes Huitongshan as the study area, which is a major district for mafic-ultramafic occurrences in Beishan. Advanced spaceborne thermal emission and reflection radiometer (ASTER) data have been processed and interpreted for mapping the mafic-ultramafic complex. ASTER data were processed by different techniques that were selected based on image reflectance and laboratory emis-sivity spectra. The visible near-infrared (VNIR) and short wave infrared (SWIR) data were transformed using band ratios and minimum noise fraction (MNF), while the thermal infrared (TIR) data were processed using mafic index (MI) and principal components analysis (PCA). ASTER band ratios (6/8,5/4,2/1) in RGB image and MNF (1,2,4) in RGB image were powerful in distinguishing the subtle differences between the various rock units. PCA applied to all five bands of ASTER TIR imagery highlighted marked differences among the mafic rock units and was more effective than the MI in differentiating mafic-ultramafic rocks. Our results were consistent with information derived from local geological maps. Based on the remote sensing results and field inspection, eleven gabbroic intrusions and a pyroxenite occurrence were recognized for the first time. A new geologic map of the Huitongshan area was created by integrating the results of remote sensing, previous geological maps and field inspection. It is concluded that the workflow of ASTER image processing, interpretation and ground inspection has great potential for mafic-ultramafic rocks identifying and relevant mineral targeting in the sparsely vegetated arid region of northwestern China.
Language英语
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/123959
Collection中国科学院地理科学与资源研究所
Affiliation1.长安大学
2.中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
Lei Liu,Jun Zhou,Dong Jiang,et al. lithologicaldiscriminationofthemaficultramaficcomplexhuitongshanbeishanchinausingasterdata[J]. journalofearthscience,2014,25(3):529.
APA Lei Liu,Jun Zhou,Dong Jiang,Zhuang Dafang,&Lamin R Mansaray.(2014).lithologicaldiscriminationofthemaficultramaficcomplexhuitongshanbeishanchinausingasterdata.journalofearthscience,25(3),529.
MLA Lei Liu,et al."lithologicaldiscriminationofthemaficultramaficcomplexhuitongshanbeishanchinausingasterdata".journalofearthscience 25.3(2014):529.
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