Statistics
Scientific paper
Dec 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004agufm.p11a0947h&link_type=abstract
American Geophysical Union, Fall Meeting 2004, abstract #P11A-0947
Statistics
5415 Erosion And Weathering, 5460 Physical Properties Of Materials, 5464 Remote Sensing, 6225 Mars
Scientific paper
We have completed a global equal-area mapping (sinusoidal projection) of Martian 0.3 km to 1.2 km slope properties using the Mars Global Surveyor (MGS) Mars Orbiter Laser Altimeter (MOLA) dataset. Under the assumption of self-affine surface roughness statistics we find the Hurst exponent that best fits variograms of surface heights measured by MOLA at 0.3, 0.6, 0.9, and 1.2 km intervals. This data type was one form of landing site characterization for the Mars Exploration Rover (MER) Project; the Hurst exponent can be used to extrapolate to 100 m slopes. For MER we carried out site-specific mapping and analysis, and now we have expaned our mapping globally. We have generated sinusoidal projection maps of the variogram values at 15 km resolution (quarter degree at the equator) for all of Mars. Small gaps exist where insufficient MOLA data were available. We compare our maps and technique with previous roughness analyses and mapping efforts that used MOLA data. Our maps will be released shortly to the Planetary Data System (PDS). This work was funded by the NASA's Mars Data Analysis Program, and the work was carried out at the Jet Propulsion Laboratory, California Institute of Technology.
Anderson Scott F.
Haldemann A. F.
Ivanov Boris A.
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