Lithological mapping of central part of Mare Moscoviense using Chandrayaan-1 Hyperspectral Imager (HySI) data

被引:17
|
作者
Bhattacharya, Satadru [1 ]
Chauhan, Prakash [1 ]
Rajawat, A. S. [1 ]
Ajai [1 ]
Kumar, A. S. Kiran [1 ]
机构
[1] Space Applicat Ctr ISRO, Ahmadabad 380015, Gujarat, India
关键词
Moon; Spectroscopy; Mineralogy; LUNAR FARSIDE; REFLECTANCE SPECTROSCOPY; SPECTRAL REFLECTANCE; PYROXENE MIXTURES; MOON; OLIVINE; CRATER; CLEMENTINE; SOILS; STRATIGRAPHY;
D O I
10.1016/j.icarus.2011.02.006
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We conducted spectral analysis of central region of the Mare Moscoviense area on the far side of the Moon using the Hyperspectral Imager (HySI) data from the Chandrayaan-1 mission in an effort to identify and map the major lithological units present in the area. Various spectral band parameters, namely, band curvature, band tilt and band strength have been used for lithological discrimination based on the nature of the spectral profile. These band parameters essentially measure the shape, position and strength of the absorption feature near 1000 nm arising due to electronic transition of Fe2+ in crystallographic sites of major rock forming silicates. Spectral band parameters have been used for generating rock type composite image. Based on spectral studies and rock type composite image as obtained using band parameters, five major compositional units have been identified: highland basin soils, ancient mature mare, highland contaminated mare, buried unit with abundant low-Ca pyroxene (LCP), and youngest mare unit. In the present study, a multispectral approach in the form of spectral band parameters has been adopted for analysing the HySI hyperspectral data from Chandrayaan-1 mission. Present study clearly shows that the spectral band parameters obtained using selected HySI channels could efficiently be used to discriminate and delineate the major litho-units present across the central part of Mare Moscoviense and the same approach can thus be used for lithological mapping of other parts of lunar surface using HySI data. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:470 / 479
页数:10
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