the surface and subsurface. A deconvolution method was used to remove atmospheric components and determine surface mineralogy from Thermal Emission Spectrometer data at 1 pixel per degree (ppd). Minerals are grouped into categories on the basis of compositional and spectral similarity, and global concentration maps are produced. All binned pixels are fit well with RMS errors of 0.005 in emissivity. Higher RMS errors are attributed to short wavelength particle size effects on dust-covered surfaces. Significant concentrations (>0.10) of plagioclase, high-Ca pyroxene, sheet silicates/high-Si glass, and hematite are detected and display distributions consistent with previous studies. Elevated concentrations of plagioclase and high-Ca pyroxe...
[1] A unique spectral component has been identified near and on the central peaks of two 30 km diame...
We investigated the spectral reflectance properties of minerals under a simulated Martian environmen...
We used three methods—spectral index mapping, linear spectral mixture analysis, and factor analysis ...
Mars Global Surveyor Thermal Emission Spectrometer (MGS-TES) data are used to derive the modal miner...
One of the primary objectives of the Thermal Emission Spectrometer (TES) instrument on the Mars Glob...
Thermal Emission Spectrometer (TES) data from the Mars Global Surveyor (MGS) mapping phase have been...
l’Activite ́ (OMEGA) imaging spectrometer on board Mars Express has acquired data coverage of the Ma...
derive the modal mineralogy of spectrally distinct Martian low-albedo regions and to identify spatia...
Reflectance spectroscopy has demonstrated that high albedo surfaces on Mars contain heavily altered ...
A method for separating the spectral signatures of the Martian surface and atmosphere was developed ...
The surface materials on Mars were extensively studied using a variety of spacecraft and Earth-based...
[1] Plagioclase, the most abundant mineral in many terrestrial and Martian igneous rocks, exhibits a...
[1] To understand the aqueous history of Mars, it is critical to constrain the alteration mineralogy...
New analysis of Mars Observer Camera (MOC) images and Thermal Emission Imaging System (THEMIS) data...
The Thermal Emission Spectrometer (TES) has observed a high-silica material in the dark regions of M...
[1] A unique spectral component has been identified near and on the central peaks of two 30 km diame...
We investigated the spectral reflectance properties of minerals under a simulated Martian environmen...
We used three methods—spectral index mapping, linear spectral mixture analysis, and factor analysis ...
Mars Global Surveyor Thermal Emission Spectrometer (MGS-TES) data are used to derive the modal miner...
One of the primary objectives of the Thermal Emission Spectrometer (TES) instrument on the Mars Glob...
Thermal Emission Spectrometer (TES) data from the Mars Global Surveyor (MGS) mapping phase have been...
l’Activite ́ (OMEGA) imaging spectrometer on board Mars Express has acquired data coverage of the Ma...
derive the modal mineralogy of spectrally distinct Martian low-albedo regions and to identify spatia...
Reflectance spectroscopy has demonstrated that high albedo surfaces on Mars contain heavily altered ...
A method for separating the spectral signatures of the Martian surface and atmosphere was developed ...
The surface materials on Mars were extensively studied using a variety of spacecraft and Earth-based...
[1] Plagioclase, the most abundant mineral in many terrestrial and Martian igneous rocks, exhibits a...
[1] To understand the aqueous history of Mars, it is critical to constrain the alteration mineralogy...
New analysis of Mars Observer Camera (MOC) images and Thermal Emission Imaging System (THEMIS) data...
The Thermal Emission Spectrometer (TES) has observed a high-silica material in the dark regions of M...
[1] A unique spectral component has been identified near and on the central peaks of two 30 km diame...
We investigated the spectral reflectance properties of minerals under a simulated Martian environmen...
We used three methods—spectral index mapping, linear spectral mixture analysis, and factor analysis ...