Share Email Print

Proceedings Paper

Discussion on application of WorldView 2 satellite data in West Kunlun metallogenic belt remote sensing geological survey
Author(s): Xiao-peng Wang; Zhi-qiang Yang; Gao-feng Kang; Jun-feng Wang; Mou-shun Jin
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Studding on the remote sensing geological survey in Tashkurgan area of west Kunlun Metallogenic belt using the latest Worldview 2 high resolution satellite image, using Optimum index factor (OIF) select the band combination suitable for this area to do strata and Lithology interpretation is B8, B4 and B3, and test different image enhancement method for mineralization alteration information such as band ratio, principal component analysis (PCA). Carried out lithology, geological structure and mineralization belt and ore body interpretation on the basis of remote sensing data after processing. The results show that the ratio band combination can identify multiple sets of diorite, marble, schist and the lithological boundaries between them clearly; the principal component transform method can enhance the boundary between black biotite-quartz schist and white granite, meanwhile it can clearly reflect the schist by a different hue and brightness level due to contained different mineral such as quartz, mica, feldspar and others, iron mineralized belt is also exposed very well. Spectrum measurement has been done for the rock and mineral in test area. Lithology inversion and mineralization anomaly information extraction test have been carried out afterwards. The test result proved that the single mineral composition rock such as marble is suitable for spectral inversion. The principal component transform of bands B1, B4, B8, and B6 is used to extract iron alteration from worldView2 data, the result shows that PC3 is the main component containing iron alteration abnormal information. Compared with the abnormalities extracted from worldview2 and low resolution satellite image such as ETM , Aster, we found that they can only distinguish wide range distributed mineralizing alteration information, their identification accuracy is not as good as Worldview2. WorldView2 data contained more abundant information and has higher resolution, it not only able to identify a wide range of alteration abnormal, but also specifically identified to the ore body outcrop, abnormal extraction accuracy is very high and the effect very well. The study shows that use WorldView2 data carry out geological and mineral remote sensing survey, have advantages of both high ground resolution of optical characteristics and a certain spectral recognition capability. The method has good result in structure and mineralized alteration zone recognition and worth promoting.

Paper Details

Date Published: 14 May 2014
PDF: 6 pages
Proc. SPIE 9158, Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China, 91580I (14 May 2014); doi: 10.1117/12.2063687
Show Author Affiliations
Xiao-peng Wang, Chang’an Univ. (China)
Aerophotogrammtry and Remote Sensing of China Coal (China)
Zhi-qiang Yang, Chang’an Univ. (China)
Gao-feng Kang, Aerophotogrammtry and Remote Sensing of China Coal (China)
Jun-feng Wang, Aerophotogrammtry and Remote Sensing of China Coal (China)
Mou-shun Jin, Aerophotogrammtry and Remote Sensing of China Coal (China)

Published in SPIE Proceedings Vol. 9158:
Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China
Qingxi Tong; Jie Shan; Boqin Zhu, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?