Title :
Application of airborne hyper-spectral remote sensing technique to uranium prospecting: A case study of Baiyanghe area, Xinjiang
Author :
Ye Fawang ; Zhang Jielin ; Zhang Chuan ; Fang Maolong
Author_Institution :
Nat. Key Lab. of Remote Sensing Inf. & Imagery Anal., Beijing Res. Inst. of Uranium Geol., Beijing, China
Abstract :
Using the hyper-spectral data acquired by CASI(Compact Airborne Spectrographic Imager)/SASI(Shortwave infrared Airborne Spectrographic Imager) airborne hyper-spectral survey system, the mineral mapping in Baiyanghe area, Xinjiang, was made, and Al-rich muscovite, Al-middle muscovite, Al-poor muscovite, epidote, carbonate were mapped. Through analysis, it was discovered that the Al-rich muscovite was consistent with the known uranium mineralization in spatial distribution feature. This shows that the Al-rich muscovite has key relationship with uranium mineralization in Baiyanghe area. By deeply data processing and analysis, six sub-categories of Al-rich muscovite were mapped further, and the class1 and class2 of Al-rich muscovite were discovered to have most key relationship with uranium mineralization. These two sub-categories have obvious spectral feature different from other sub-categories. These preliminary new ideas are of important significance for uranium prospecting not only in the outside of Baiyanghe area, but also in the wider Xuemisitan area.
Keywords :
geophysical prospecting; minerals; remote sensing; Baiyanghe area; CASI-ISASI airborne hyper-spectral survey system; Compact Airborne Spectrographic Imager; Shortwave infrared Airborne Spectrographic; Xinjiang; airborne hyper-spectral remote sensing technique; aluminium-middle muscovite; aluminium-poor muscovite; aluminium-rich muscovite; carbonate; epidote; hyper-spectral data; mineral mapping; uranium prospecting; Abstracts; Mineralization; Al-rich muscovite mineral mapping; Baiyanghe area; Uranium prospecting; airborne hyper-spectral remote sensing;
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2012 4th Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3405-8
DOI :
10.1109/WHISPERS.2012.6874243