Research team releases a 76 m-per-pixel global color image dataset and map of Mars
Remote-sensing images of Mars contain rich information about its surface morphology, topography, and geological structure. These data are fundamental for scientific research and exploration missions of Mars. Prior to China's ...
However, in terms of global color images, the best version of Mars Viking Colorized Global Mosaic has a resolution of approximately 232 m/pixel. There is a lack of global color images of Mars at the hundred-meter scale and higher resolution.
New data obtained by the Tianwen-1 mission has laid the foundation for the development of a high-resolution global color-image map of Mars with high positioning accuracy. As of July 25, 2022, Tianwen-1 Moderate Resolution Imaging Camera (MoRIC) had completed imaging over 284 orbits during its remote-sensing mission period, acquiring 14,757 images with spatial resolutions between 57 and 197 m.
The collected images achieved global coverage of the Martian surface. At almost the same time, a total of 325 strips of data in the visible and near-infrared bands were obtained by the Tianwen-1 Mars Mineralogical Spectrometer, with spatial resolutions varying from 265–800 m.
Using the above-mentioned data, Professor Li Chunlai at National Astronomical Observatory of the Chinese Academy of Sciences and Professor Zhang Rongqiao at Lunar Exploration and Space Engineering Center led the Tianwen-1 science team and collaborators to conduct research on image data processing and global mapping of Mars. The research is published in the journal Science Bulletin.
A true color Mars global image map in Robinson projection is created with Tianwen-1 MoRIC image data, the resolution of the original data is ~76 m per pixel, and the horizontal accuracy is 68 m. Credit: Science China Press
The optical camera (MoRIC) and imaging spectrometer (MMS) onboard the Tianwen-1 orbiter were used to obtain remote-sensing images of the entire Martian surface. Credit: Science China Press
(a) Level 2C data product as the input, (b) image corrected by atmospheric correction, (c) image corrected by photometric correction, and (d) image corrected after color correction. Credit: Science China Press