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Journal Article

Determination of Spatial Scale in Martian Landscape Images Acquired by the Curiosity Rover, and Viewing Image Scale and Target Chemistry Using the ASIC Website

MPS-Authors
/persons/resource/persons103931

Goetz,  Walter
Planetary Science Department, Max Planck Institute for Solar System Research, Max Planck Society;

/persons/resource/persons292218

Bruns,  Michael
Max Planck Institute for Solar System Research, Max Planck Society;

/persons/resource/persons292220

Thoma,  Stephan
Max Planck Institute for Solar System Research, Max Planck Society;

/persons/resource/persons292222

Pardowitz,  Iancu
Max Planck Institute for Solar System Research, Max Planck Society;

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https://ui.adsabs.harvard.edu/abs/2023E&SS...1001611G
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Citation

Goetz, W., Bruns, M., Thoma, S., Pardowitz, I., & Stein, T. C. (2023). Determination of Spatial Scale in Martian Landscape Images Acquired by the Curiosity Rover, and Viewing Image Scale and Target Chemistry Using the ASIC Website. Earth and Space Science, 10, e2020EA001611. doi:10.1029/2020EA001611.


Cite as: https://hdl.handle.net/21.11116/0000-000D-B06A-5
Abstract
In this paper we describe a method to compute spatial scales for images acquired by NASA's Mars Curiosity rover (Mars Science Laboratory, MSL). The method is based on the assumption that the rover stands on an infinite plane that may have any orientation with respect to the local gravity vector. While not new, it is the first time that this method is systematically applied to Martian images acquired by a lander. A continuously run software pipeline processes the images acquired by the rover within a 20 m radius, adds approximate scalebars to the raw images, and generates, whenever possible, rectified (warped) versions of those images. The products of this software pipeline and the chemical compositions of relevant rover science targets from NASA's Planetary Data System archive, are made available to the public via the Approximate Scale for Images and Chemistry website, which has been developed in collaboration with the Planetary Data System Analyst's Notebook for the MSL mission. Hyperlinks connect the two resources.