HR: 0800h
AN: P21A-0198    [Abstracts]
TI: Mars Exploration Rover Pancam Photometric Data QUBs: Definition and Example Uses.
AU: * Soderblom, J M
EM: jasons@astro.cornell.edu
AF: Cornell University, Space Sciences Bldg., Ithaca, NY 14853-6801 United States
AU: Bell, J F
EM: jfb8@cornell.edu
AF: Cornell University, Space Sciences Bldg., Ithaca, NY 14853-6801 United States
AU: Arvidson, R E
EM: arvidson@wunder.wustl.edu
AF: Washington University, Campus Box 1169 One Brookings Dr., Saint Louis, MO 63130-4899 United States
AU: Johnson, J R
EM: jrjohnson@usgs.gov
AF: United States Gological Survey, 2255 N Gemini Dr., Flagstaff, AZ 86001-1637 United States
AU: Johnson, M J
EM: mjj8@cornell.edu
AF: Cornell University, Space Sciences Bldg., Ithaca, NY 14853-6801 United States
AU: Seelos, F P
EM: seelos@levee.wustl.edu
AF: Washington University, Campus Box 1169 One Brookings Dr., Saint Louis, MO 63130-4899 United States
AB: Pancam multi-spectral observations acquired at the Mars Exploration Rover Spirit and Opportunity landing sites are being assembled into a multi-layer format know as a QUB. For any given pixel in a Pancam image the QUB will contain values for the radiance factor, incidence (i), emission (e), and phase (g) angles, X, Y, and Z distance in a rover-based coordinate system, disparity in number of pixels between the left and right eye images and range data. Good range data is required for the generation of a Pancam QUB. The radiance factor (I/F, where I is the measured scene radiance on sensor and $\pi$F is the incident solar irradiance) is calculated using a combination of preflight calibration data and information obtained from near-simultaneous observations of an onboard reflectance calibration target. The range, X, Y, Z and disparity data, and i, e, and g are calculated using routines developed by JPL's MIPL and Cornell. When possible, these data have been interpolated to maximize parameter coverage; a map of non-interpolated data is also included in each QUB. QUBs should prove very useful in photometric studies ({\it e.g.}, Johnson {\it et al.}; Seelos, {\it et al.}, this conference), detailed spectral analyses ({\it e.g.}, Bell {\it et al.}, this conference), and detailed topographic/DTM studies. Here we present two examples of the utilization of the information contained in Pancam QUBs. In one example we remove the photometric variability from spectra collected from multiple facets of a rock using knowledge of i, e, g and derived photometric functions. This is necessary if one wishes to conduct comparative studies of observations acquired under varying geometries and lighting conditions. In another example we present an analysis using the discrete ordinate multiple scattering radiative transfer code DISORT where we separate the atmosphere and surface contributions of the surface reflectance.
DE: 5460 Physical properties of materials
DE: 5464 Remote sensing
DE: 5470 Surface materials and properties
DE: 6225 Mars
SC: Planetary Sciences [P]
MN: 2004 AGU Fall Meeting