High resolution remote sensing information identification for characterizing uranium mineralization setting in Namibia

Jie-Lin Zhang; Jun-hu Wang; Mi Zhou; Yan-ju Huang; Yan-xiu Xuan; Ding Wu

doi:10.1117/12.897954

26 October 2011 High resolution remote sensing information identification for characterizing uranium mineralization setting in Namibia

Jie-Lin Zhang, Jun-hu Wang, Mi Zhou, Yan-ju Huang, Yan-xiu Xuan, Ding Wu

Author Affiliations +

Proceedings Volume 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II; 81810J (2011) https://doi.org/10.1117/12.897954
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

The modern Earth Observation System (EOS) technology takes important role in the uranium geological exploration, and high resolution remote sensing as one of key parts of EOS is vital to characterize spectral and spatial information of uranium mineralization factors. Utilizing satellite high spatial resolution and hyperspectral remote sensing data (QuickBird, Radarsat2, ASTER), field spectral measurement (ASD data) and geological survey, this paper established the spectral identification characteristics of uranium mineralization factors including six different types of alaskite, lower and upper marble of Rössing formation, dolerite, alkali metasomatism, hematization and chloritization in the central zone of Damara Orogen, Namibia. Moreover, adopted the texture information identification technology, the geographical distribution zones of ore-controlling faults and boundaries between the different strata were delineated. Based on above approaches, the remote sensing geological anomaly information and image interpretation signs of uranium mineralization factors were extracted, the metallogenic conditions were evaluated, and the prospective areas have been predicted.

Citation Download Citation

Jie-Lin Zhang, Jun-hu Wang, Mi Zhou, Yan-ju Huang, Yan-xiu Xuan, and Ding Wu "High resolution remote sensing information identification for characterizing uranium mineralization setting in Namibia", Proc. SPIE 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II, 81810J (26 October 2011); https://doi.org/10.1117/12.897954

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available