TES Hyperspectral Mapping of Putative Martian Paleolake Basins in the Aeolis Quadrangle

Details TES Hyperspectral Mapping of Putative Martian Paleolake Basins in the Aeolis Quadrangle TES Hyperspectral Mapping of Putative Martian Paleolake Basins in the Aeolis Quadrangle

Dec 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002agufm.p52a0370s&link_type=abstract

American Geophysical Union, Fall Meeting 2002, abstract #P52A-0370

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5464 Remote Sensing, 5470 Surface Materials And Properties, 6225 Mars, 6297 Instruments And Techniques

Scientific paper

Introduction: Several studies have argued that geomorphic evidence supports the existence of paleolake basins on Mars. Previous workers have compiled a list of proposed paleolake basins in impact craters, with some basins displaying alternating bands of light and dark albedo materials conformal with the basin margins. These workers have suggested that the bright materials may be evaporite deposits. Thus far, TES searches for aqueously derived minerals on a global scale have only detected coarse-grained crystalline hematite. We are currently conducting a regional study to search for small exposures of evaporite minerals within putative paleolake basins in the Aeolis quadrangle. Detection of evaporites on Mars would provide key constraints on its paleoclimate. Approach: The spectra for each target are assembled into a hyperspectral cubes. Because we expect the spectral features of evaporite minerals to be extremely subtle, we preserve individual unprocessed emissivity spectra as far into the processing chain as possible. A principle component analysis (PCA) algorithm is run on the hyperspectral cubes. The resultant PCA images have some contiguous areas where similar PCA values span several orbits, which we interpret to represent real spectral units at the surface. In other instances, similar PCA values are confined to specific orbit tracks, which we interpret to represent inter-orbital atmospheric variations. We re-assemble the hyperspectral cubes from the original set of spectra using an algorithm that rejects all spectra from orbital tracks strongly affected by atmosphere. This process is repeated until most of the color variations in the PCA images appear to be associated with spectral units on the ground. The final PCA images are used to define regions of interest that correspond to spectral units in the scenes. Averaged spectra from each region of interest are extracted and examined to see what spectral features distinguish these units from each other. Automated spectral matching algorithms using library spectra of evaporite minerals are also run on the original emissivity hyperspectral cubes to provide another means of detection. We will present the results of our detailed hyperspectral analyses of 35 proposed paleolake basins in the Aeolis Quadrangle.

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