Almeida, M.; Read, M.; Thomas, N.; Cremonese, G.; Becerra, P.; Borrini, Gaetano; Byrne, S.; Gruber, M.; Heyd, R.; Marriner, C.M.; McArthur, G.; McEwen, A.S.; Pommerol, A.; Perry, J.; Schaller, C. (2023). Targeting and image acquisition of Martian surface features with TGO/CaSSIS. Planetary and space science, 231, p. 105697. Elsevier 10.1016/j.pss.2023.105697
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Targeting_and_image_acquisition_of_Martian_surface_features_with_TGO_CaSSIS_-_1-s2.0-S0032063323000661-main.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (1MB) | Preview |
CaSSIS is a high-resolution visual telescope onboard the ExoMars Trace Gas Orbiter. The mission started the primary science phase in April 2018. The relatively small single image footprint (typically 40 km × 9.5 km) when compared to the total surface area of Mars demands that images should be targeted and target selection is key for the science return. This paper describes the science planning concept set around the target selection, and the process followed in order to generate the CaSSIS commands.
The tools used are described as well as all the iterations and teams involved. Finally, special cases and the handling of contingencies are discussed. The procedures may serve as a guideline for future high-resolution instruments on missions to planetary objects.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
08 Faculty of Science > Physics Institute > Space Research and Planetary Sciences 08 Faculty of Science > Physics Institute 08 Faculty of Science > Physics Institute > NCCR PlanetS |
UniBE Contributor: |
Miguel, Almeida, Read, Matthew James, Thomas, Nicolas, Borrini, Gaetano, Gruber, Mario, Pommerol, Antoine |
Subjects: |
500 Science > 530 Physics 500 Science > 520 Astronomy 600 Technology > 620 Engineering |
ISSN: |
0032-0633 |
Publisher: |
Elsevier |
Language: |
English |
Submitter: |
Dora Ursula Zimmerer |
Date Deposited: |
21 Aug 2023 15:22 |
Last Modified: |
24 Sep 2023 02:28 |
Publisher DOI: |
10.1016/j.pss.2023.105697 |
BORIS DOI: |
10.48350/185624 |
URI: |
https://boris.unibe.ch/id/eprint/185624 |
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