Mineral mapping in the western Kunlun Mountains using Tiangong-1 hyperspectral imagery

9th Symposium of the International Society for Digital Earth

地球科学;计算机科学

Ge, W.^1 ; Cheng, Q.^1 ; Jing, L.^2 ; Chen, Y.^2 ; Guo, X.^1 ; Ding, H.^2 ; Liu, Q.^2

School of Earth Science and Resource, China University of Geosciences, Beijing

100083, China^1

Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing

100094, China^2

关键词: Highly-correlated;    Hyper-spectral imageries;    Hyperspectral Data;    Hyperspectral sensors;    Metallogenic belt;    Short wave infrared;    Spectral information;    Spectral libraries;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/34/1/012011/pdf
DOI  :  10.1088/1755-1315/34/1/012011

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The unmanned Chinese space module Tiangong-1 was launched in September 2011 with a hyperspectral sensor on board. The sensor combines high spatial and spectral resolution suitable for mineral mapping. In this study, Tiangong-1 hyperspectral data were employed for mineral mapping in the western Kunlun Mountains, an important metallogenic belt in China. A Spectral Hourglass Wizard method was applied to detect common minerals from the Tiangong- 1 shortwave infrared data with reference to a set of spectral libraries. Spectral information on minerals, such as zoisite, mica, quartz, sodalite, dolomite, and actinolite, was extracted from the data. The resulting mineral interpretation maps were highly correlated with the reference geological maps and information from ASTER satellite imagery, suggesting that the hyperspectral data are suitable for mineral mapping.