Spirit, Spirit, Shining Bright
NASA/JPL/University of Arizona
Spirit, Spirit, Shining Bright
ESP_021925_1650  Science Theme: Future Exploration/Landing Sites
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This observation catches the NASA Mars Exploration Rover Spirit gleaming in the sun beside Home Plate inside Gusev Crater. It also catches a dust devil in action.

We were surprised to see that the Spirit rover itself is the brightest spot in the image, unlike dozens of previous images of both rovers. Analysis of the illumination and viewing geometry and the tilt of the rover indicate that, by accident, we imaged it near the specular point for the flat solar panels. The specular point is where the illumination angle is the same as the viewing angle, and the vectors are aligned.

Ground-based measurements prior to launch showed that the specular reflection could be seen even when there is a thin dust cover over the panels. This result does show that the solar panels are not covered by an optically thick layer of dust (i.e., too thick for any light to pass through it). Spirit last communicated on 22 March 2010.

And a Dust Devil to Boot
Scientists have been coming to realize that dust devils on Mars are far more common that had been thought. Dust devils look like mini tornadoes and are made up of swirling vortices of air that pick up very fine pieces of dust (the smallest particles of soil, much finer than a grain of sand). They are also an important part of the Martian climate and geology.

Each year myriads of dust devils crisscross the surface scouring up loose dust. By removing dust the dust devils also, in effect, clean the surface. Since a dusty surface tends to be brighter and reflect sun light, dust devils collectively darken the surface and cause more sun light to be absorbed and warm the soil surface and the air. Dust devils can also kick lots of dust into the air where the dust can absorb sun light passing through the atmosphere, thus warming the atmosphere more directly.

Many images show tell-tale dark streaks that crisscross and wiggle all over the surface. The high wind speeds of dust devils can also shift and move sand that otherwise would remain in one location. By moving surface soil grains around, dust devils can serve to mix different minerals from various locations.

Written by: Alfred McEwen and Mike Mellon   (25 May 2011)

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Acquisition date
31 March 2011

Local Mars time:
14:50

Latitude (centered)
-14.637°

Longitude (East)
175.540°

Range to target site
266.0 km (166.3 miles)

Original image scale range
26.6 cm/pixel (with 1 x 1 binning) so objects ~80 cm across are resolved

Map projected scale
25 cm/pixel and North is up

Map projection
Equirectangular

Emission angle:
8.6°

Phase angle:
49.7°

Solar incidence angle
41°, with the Sun about 49° above the horizon

Solar longitude
265.3°, Northern Autumn

North azimuth:
97°

Sub-solar azimuth:
343.2°
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non-map           (391MB)

IRB color
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non-map           (391MB)

Merged IRB
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Merged RGB
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non map           (344MB)
ADDITIONAL INFORMATION
B&W label
Color label
Merged IRB label
Merged RGB label
EDR products
HiView

NB
IRB: infrared-red-blue
RGB: red-green-blue
About color products (PDF)

Black & white is 5 km across; enhanced color about 1 km
For scale, use JPEG/JP2 black & white map-projected images

USAGE POLICY
All of the images produced by HiRISE and accessible on this site are within the public domain: there are no restrictions on their usage by anyone in the public, including news or science organizations. We do ask for a credit line where possible:
NASA/JPL/University of Arizona



Postscript
For information about NASA and agency programs on the Web, visit: http://www.nasa.gov. NASA's Jet Propulsion Laboratory, a division of the California Institute of Technology in Pasadena, Calif., manages the Mars Reconnaissance Orbiter for NASA's Science Mission Directorate, Washington. Lockheed Martin Space Systems is the prime contractor for the project and built the spacecraft. The HiRISE camera was built by Ball Aerospace and Technology Corporation and is operated by the University of Arizona. The image data were processed using the U.S. Geological Survey’s ISIS3 software.