Arid
DOI10.1016/j.oregeorev.2014.11.006
Quartzose-mafic spectral feature space model: A methodology for extracting felsic rocks with ASTER thermal infrared radiance data
Ding, Chao; Li, Xuqing; Liu, Xiangnan; Zhao, Liting
通讯作者Liu, Xiangnan
来源期刊ORE GEOLOGY REVIEWS
ISSN0169-1368
EISSN1872-7360
出版年2015
卷号66页码:283-292
英文摘要

The original spectral features of felsic rocks are often intermingled with other surface objects, which results in difficulty of detecting felsic rocks using remote sensing techniques. Few felsic rock indices were proposed and visual interpretation with RGB false color composition is widely used to detect felsic rocks. This paper aims to construct a two-dimensional spectral feature space model to extract felsic rocks using ASTER thermal infrared radiance data. The study area is located in northern Qinghai Province, western China with average altitude of approximately 4200 m. A large number of training pixels of mafic-ultramafic rock, quartz-rich rock, felsic rock, carbonate rock and vegetation were selected from the ASTER images as samples of these surface objects. Then we used a quartz-rich rock index (QI,QI = band14 - 0.844 x band12 - 1.897) and a mafic-ultramafic rock index (MI, MI = 0.915 x band10 - band13 + 1.437) to generate a two-dimensional scatter plot. The plot was named after quartzose-mafic spectral feature space (QMFS). The samples show an approximate triangular shape in the QMFS. Mafic-ultramafic rock, quartz-rich rock and carbonate rock are located in separate locations in the three vertex regions, respectively, while felsic rock is located in the central region of the triangle. Next, we calculated a linear belt of silicate rocks in which silicate rocks vary regularly by using a linear regression analysis in the QMFS. Statistical characteristics of the felsic rock samples are analyzed. Afterwards, a polygon which delineates the distribution of felsic rock samples was constructed from the linear belt of silicate rocks. Then we generated a system of inequalities based on the equations of the edges of the polygon. The application of the inequalities to the ASER images shows a good performance of the QMFS for extracting felsic rocks. (C) 2014 Elsevier B.V. All rights reserved.


英文关键词Qinghai-Tibet Plateau Litho logic mapping Granitoids Remote sensing petrology Thermal infrared Spectral feature space Discriminant analysis
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000348620500014
WOS关键词QUANTITATIVE ESTIMATION ; SURFACE-TEMPERATURE ; MINERAL EXPLORATION ; ALTERATION ZONES ; EASTERN DESERT ; AREA ; EMISSIVITY ; REFLECTANCE ; MOUNTAINS ; NEVADA
WOS类目Geology ; Mineralogy ; Mining & Mineral Processing
WOS研究方向Geology ; Mineralogy ; Mining & Mineral Processing
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/189433
作者单位China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714
Ding, Chao,Li, Xuqing,Liu, Xiangnan,et al. Quartzose-mafic spectral feature space model: A methodology for extracting felsic rocks with ASTER thermal infrared radiance data[J],2015,66:283-292.
APA Ding, Chao,Li, Xuqing,Liu, Xiangnan,&Zhao, Liting.(2015).Quartzose-mafic spectral feature space model: A methodology for extracting felsic rocks with ASTER thermal infrared radiance data.ORE GEOLOGY REVIEWS,66,283-292.
MLA Ding, Chao,et al."Quartzose-mafic spectral feature space model: A methodology for extracting felsic rocks with ASTER thermal infrared radiance data".ORE GEOLOGY REVIEWS 66(2015):283-292.
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