Physics
Scientific paper
Dec 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011agufm.p43d1710k&link_type=abstract
American Geophysical Union, Fall Meeting 2011, abstract #P43D-1710
Physics
[3322] Atmospheric Processes / Land/Atmosphere Interactions, [5464] Planetary Sciences: Solid Surface Planets / Remote Sensing, [5470] Planetary Sciences: Solid Surface Planets / Surface Materials And Properties, [6225] Planetary Sciences: Solar System Objects / Mars
Scientific paper
Topographic local roughness plays an important role for the formation and the migration of aeolian geomorphology over the planetary surface where the atmospheric conditions are suitable for trigging the surface process. Contemporary scientific sensors in the planetary orbits are capable of providing the crucial information for the planetary topography. Especially stereo analyses employing the very high resolution optical sensors such as HiRISE equipped on MRO (Mars Reconnaissance Orbiter) provided not only the detailed 3D geomorphic information over planetary surface but also the height variation in a fine spatial resolution - so called "local roughness". However, usually the coverage of very high resolution stereo images over target planetary and satellite is very limited. Thus the local roughness by the very high resolution stereo interpretation can be determined in only a portion of planetary surface. In this study we tested the methods to extract local roughness not only by the direct calculation from stereo height measurements but also by the indirect multi sensor data fusion of medium resolution remote sensing information which is available more globally in the planetary surface. Two multi sensor data fusion approaches to extract local roughness were performed on Martian surface where aeolian landforms are widely populated. At first, surface local roughness using the MOLA laser beam broadening effect (Gardner, 1982) combining the slope of stereo DTM were processed. The technical difficulties such as across track drifts of laser beam broadening have been tackled by introducing the hierarchical processing scheme for track-wise noise removal. Secondly, the local roughness index by multi angle image interpretation after applying sub pixel co-registration between the corresponding pixels of different viewing channels were extracted. The data sets from these two approaches were crossly verified and their correlations were investigated. Since all data sources employed in this study are well co-registered due to Kim and Muller (2009)'s geodetic control strategy, it is possible to calibrate the extracted local roughness parameters by the lateral cover estimated from sub meter HiRISE stereo height points as demonstrated in Marticorena et al., (2006). This information will be extremely useful to classify planetary surfaces by their origins and provide important clues to simulate the surface process over target planet, if it is converted into the aerodynamic roughness length Zo with the wind tunnel test. Together with inter-sensor parameter comparisons, the local roughness maps over significant aeolian landforms such as dune and yardang fields over Martian surface were firstly constructed and then compared with the distributions of the geomorphic features. Since the local roughness data is powerful means to assess the risk of potential landing sites with quantitative engineering standard, we also performed our local roughness processing analysis over potential MSL(Mars Science Laboratory) landing sites. The extension of this approach will give important clues for the origin of the planetary aeolian landform.
Kim Jongsoo
Park Jaemo
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