Hyperspectral and multispectral studies of evaporite minerals at White Sands, New Mexico

Habes Ahmad Ghrefat, University of Texas at El Paso

Abstract

Most multispectral sensors such as Landsat 7 ETM+, ASTER, and ALI measure reflected energy in a few and separated wavelength bands and are thereby referred to as multispectral. In contrast, hyperspectral imaging spectrometers have a sufficient amount of continuous spectral channels to resolve the spectral variability of the earth's surface. This study focuses on uncovering the spectral complexity of Alkali Flat and Lake Lucero, White Sands. They are remnants of Lake Otero and together form the primary source of gypsum that forms the dune field of the White Sands. One of the goals of this study was to compare the information dimensionality limits of Landsat 7 ETM+, ASTER and ALI data with high spectral resolution, low signal-to-noise Hyperion data, using AVIRIS data as a high spectral resolution, high signal-to-noise standard. Information dimensionality thresholds constrain the number of evaporite mineral and textural endmembers that can be detected, mapped, or unmixed using standard image processing methods. In this case, eigen analysis of the Minimum Noise Fraction (MNF) transformation and Principle Component Analysis (PCA) results were used to uncover the information dimensionality limits of all these datasets. The Pixel Purity Index (PPI), and n-D Visualization were used to identify spectrally distinct endmember classes, and along with ground truth and field spectra provide insights into the origin of the spectral variability uncovered in all of the datasets. The results confirm that AVIRIS and Hyperion data have higher information dimensionality thresholds exceeding the number of available bands of Landsat 7 ETM+, ASTER, and ALI data. AVIRIS has higher information dimensionality thresholds than Hyperion because of its 410x increase in signal-to-noise over Hyperion. Much of the information dimensionality uncovered by AVIRIS and Hyperion datasets can be due differences in vegetation landcover, grain size variations, and moisture contents as opposed to mineral compositional variations. These endmember components uncovered at Alkali Flat and Lake Lucero include: (1) dry gypsum, (2) wet gypsum, (3) water, (4) vegetation, and (5) clastic sediment dominated by ferric iron and calcite. The spectral signatures of these endmembers at the resolution of AVIRIS, Hyperion, ALI, ASTER, and Landsat 7 ETM+ agreed with field and laboratory spectral analysis. (Abstract shortened by UMI.) ^

Subject Area

Environmental Sciences|Engineering, Environmental

Recommended Citation

Ghrefat, Habes Ahmad, "Hyperspectral and multispectral studies of evaporite minerals at White Sands, New Mexico" (2004). ETD Collection for University of Texas, El Paso. AAI3125568.
http://digitalcommons.utep.edu/dissertations/AAI3125568

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