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Proceedings Paper

High resolution remote sensing information identification for characterizing uranium mineralization setting in Namibia
Author(s): Jie-Lin Zhang; Jun-hu Wang; Mi Zhou; Yan-ju Huang; Yan-xiu Xuan; Ding Wu
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Paper 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.

Paper Details

Date Published: 26 October 2011
PDF: 6 pages
Proc. SPIE 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II, 81810J (26 October 2011); doi: 10.1117/12.897954
Show Author Affiliations
Jie-Lin Zhang, Beijing Research Institute of Uranium Geology (China)
Jun-hu Wang, Beijing Research Institute of Uranium Geology (China)
Mi Zhou, Beijing Research Institute of Uranium Geology (China)
Yan-ju Huang, Beijing Research Institute of Uranium Geology (China)
Yan-xiu Xuan, Beijing Research Institute of Uranium Geology (China)
Ding Wu, Beijing Research Institute of Uranium Geology (China)


Published in SPIE Proceedings Vol. 8181:
Earth Resources and Environmental Remote Sensing/GIS Applications II
Ulrich Michel; Daniel L. Civco, Editor(s)

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