Derivation of martian surface slope characteristics from directional thermal infrared radiometry

被引:35
作者
Bandfield, Joshua L. [1 ]
Edwards, Christopher S. [1 ]
机构
[1] Arizona State Univ, Sch Earth & Space Explorat, Tempe, AZ 85281 USA
关键词
Mars; surface; infrared observations; photometry;
D O I
10.1016/j.icarus.2007.08.028
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Directional thermal infrared measurements of the martian surface is one of a variety of methods that may be used to characterize surface roughness and slopes at scales smaller than can be obtained by orbital imagery. Thermal Emission Spectrometer (TES) emission phase function (EPF) observations show distinct apparent temperature variations with azimuth and emission angle that are consistent with the presence of warm, sunlit and cool, shaded slopes at typically similar to 0.1 m scales. A surface model of a Gaussian distribution of azimuth independent slopes (described by theta-bar) is combined with a thermal model to predict surface temperature from each viewing angle and azimuth of the TES EPF observation. The models can be used to predict surface slopes using the difference in measured apparent temperature from 2 separate 60-70 degrees emission angle observations taken similar to 180 degrees in azimuth relative to each other. Most martian surfaces are consistent with low to moderate slope distributions. The slope distributions display distinct correlations with latitude, longitude, and albedo. Exceptionally smooth surfaces are located at lower latitudes in both the southern highlands as well as in high albedo dusty terrains. High slopes are associated with southern high-latitude patterned ground and north polar sand dunes. There is little apparent correlation between high resolution imagery and the derived theta-bar, with exceptions such as duneforms. This method can be used to characterize potential landing sites by assuming fractal scaling behavior to meter scales. More precisely targeted thermal infrared observations from other spacecraft instruments are capable of significantly reducing uncertainty as well as reducing measurement spot size from 10s of kilometers to sub-kilometer scales. (C) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:139 / 157
页数:19
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