Physics
Scientific paper
Dec 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007agufm.p13d1567m&link_type=abstract
American Geophysical Union, Fall Meeting 2007, abstract #P13D-1567
Physics
5410 Composition (1060, 3672), 5464 Remote Sensing, 5470 Surface Materials And Properties, 5494 Instruments And Techniques, 6225 Mars
Scientific paper
CRISM acquires images of the Martian surface in 544 channels ranging from 362 to 3920 nm with 6.55 nm spectral sampling. Spatial resolution varies from 18 meters per pixel in full resolution targeted mode to 200 meters per pixel in a multispectral survey observing mode. CRISM's spectral resolution and range, fully covering the visible portion of the spectrum on a single detector with high signal-to-noise ratio, make it ideally suited to accurately represent the appearance of Mars to an observer in orbit. With 50% surface coverage to date in multispectral survey mode and nearly 2000 targeted observations it is possible to produce natural color data products for large portions of the Martian surface at spatial resolutions matching the CRISM data products. To accurately depict surface colors tristimulus values are calculated by discrete summation of calibrated surface radiance and color matching functions followed by color space transformation and correction for output devices (following the work of Bell and Savransky 2006). The results of this work will be a capability to produce natural color depictions of CRISM targeted and multispectral data products. Ongoing efforts to account for and remove atmospheric effects in multispectral survey (McGuire et al. 2007), and targeted hyperspectral data will lead to a complementary simulation of the appearance of the Martian surface as it would be perceived by the human eye in the absence of atmospheric attenuation and scattering. References: Bell III, J.F., D. Savransky, and M.J. Wolff, Chromaticity of the martian sky as observed by the Mars Exploration Rover Pancam instruments, J. Geophys. Res., 111, E12S05, doi:10.1029/2006JE002687, 2006. McGuire, P. et al., this conference
CRISM Team
Humm David
McGovern A.
Murchie Scott
Seelos Frank
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