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Mapping evaporite minerals and associated sediments in Lake Magadi, Kenya, using Hyperspectral Hyperion data

Authors:

G. R. L. Kodikara ,

University of Ruhuna, LK
About G. R. L.
Department of Oceanography and Marine Geology, Faculty of Fisheries & Marine Science and Technology
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T. Woldai,

International Institute for Geo-information Science and Earth Observation (ITC), Hengelosesestraat 99, PO Box 6, 7500AA Enschede, NL
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F. J. A. van Ruitenbeek,

International Institute for Geo-information Science and Earth Observation (ITC), Hengelosesestraat 99, PO Box 6, 7500AA Enschede, NL
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K. D. Shepherd,

World Agroforestry Centre (ICRAF), PO Box 30677-00100, Nairobi, KE
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G. J. van Hummel

University of Twente, NL
About G. J. van
Institute for Nanotechnology (MESA+)
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Abstract

Hyperion hyperspectral (VNIR-SWIR) satellite image data was used to map the spatial distribution of mineral precipitates at Lake Magadi area, in the southernmost part of the eastern Kenya rift, Kenya. Mapping was coupled with laboratory analysis, including visible near infrared diffuse reflectance spectroscopy (VNIR) measurements and X-ray diffraction for selected rock and soil samples. The VNIR spectral responses of 92 rock and soil samples including trona, chert, diatomite, basalt/trachyte, erionite, Green bed and High Magadi bed were studied and identified. The spectral signatures of Chert samples show the broad Si-OH absorption feature at 2.2 μm while, Green bed, High Magadi bed and diatomite exhibit carbonate absorption feature at 2.35 μm with broad Si-OH absorption feature at 2.2 μm. Trona exhibits six common absorption features at 1.50, 1.74, 1.94, 2.03, 2.22 and 2.39 μm. These characteristics spectral absorption features together with the general shape of the spectral curve are used to identify the surface minerals of the area. In the mapping of different stages of evaporites and other surface minerals using Hyperion data, various image processing techniques including, the Minimum Noise Fraction (MNF), Pixel Purity Index (PPI) and Mixture Tuned Matched Filtering (MTMF) were applied. These spectral mapping methods coupled with geochemical knowledge of the area substantially improved the existing geological knowledge and enhanced the capability to derive substantial information related to the distribution and formation of precipitates and evaporites in the area.
How to Cite: Kodikara, G.R.L. et al., (2016). Mapping evaporite minerals and associated sediments in Lake Magadi, Kenya, using Hyperspectral Hyperion data. Journal of the University of Ruhuna. 4(1-2), pp.22–27.
Published on 28 Sep 2016.
Peer Reviewed

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