Mhopjeni, Kombada, Cudahy, Thomas, Ford, Arianne, Laukamp, Carsten, and McCuaig, Campbell (2013) Regolith characterization using ASTER data in the Central Namib, Namibia. In: Papers from the International Geoscience and Remote Sensing Symposium. From: IGARSS 2013: International Geoscience and Remote Sensing Symposium, 21-26 July 2013, Melbourne, VIC, Australia.

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Abstract

[Extract] Multi-spectral remote Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor is an inexpensive, powerful remote sensing tool for measuring mineral group abundance and composition of surface materials [1]. The published geological map of the central Namib Uranium District (CNUD) contains tracts of Quaternary cover sediments that are largely mapped as an undifferentiated unit [2]. Hyper-arid to semi-arid environments with minimum vegetation cover are ideal for the use of spectral remote sensing technologies. The study area is located within the central part of the Namib Desert along the central west coast of Namibia (Figure 1a). The published geology of central Namib comprises Palaeoproterozoic gneissic basement and Neoproterozoic Damara Supergroup metasediments, and associated intrusive rocks, overlain by Quaternary to recent surficial deposits [2, 3]. The main aim of this study was to mineralogically discriminate and map the undifferentiated Quaternary regolith using ASTER data (Figure 1b). Mapping the surficial cover sediments has potential benefits such as contributing to the understanding of the provenance of the surficial sediments and providing enhanced base-line data that can further aid mineral exploration in the region.

Item ID:	40034
Item Type:	Conference Item (Presentation)
Related URLs:	Organisation
Date Deposited:	03 Sep 2015 01:59
FoR Codes:	04 EARTH SCIENCES > 0406 Physical Geography and Environmental Geoscience > 040601 Geomorphology and Regolith and Landscape Evolution @ 100%
SEO Codes:	84 MINERAL RESOURCES (excl. Energy Resources) > 8401 Mineral Exploration > 840199 Mineral Exploration not elsewhere classified @ 100%
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