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Improving the Usability of Galileo and Voyager Images of Jupiter's Moon Europa

NASA's Voyager 1, Voyager 2, and Galileo spacecraft acquired hundreds of images of Jupiter's moon Europa. These images provide the only moderate‐ to high‐resolution views of the moon's surface and are therefore a critical resource for scientific analysis and future mission planning. U...

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Autores principales: Bland, Michael T., Weller, Lynn A., Archinal, Brent A., Smith, Ethan, Wheeler, Benjamin H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286035/
https://www.ncbi.nlm.nih.gov/pubmed/35864914
http://dx.doi.org/10.1029/2021EA001935
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author Bland, Michael T.
Weller, Lynn A.
Archinal, Brent A.
Smith, Ethan
Wheeler, Benjamin H.
author_facet Bland, Michael T.
Weller, Lynn A.
Archinal, Brent A.
Smith, Ethan
Wheeler, Benjamin H.
author_sort Bland, Michael T.
collection PubMed
description NASA's Voyager 1, Voyager 2, and Galileo spacecraft acquired hundreds of images of Jupiter's moon Europa. These images provide the only moderate‐ to high‐resolution views of the moon's surface and are therefore a critical resource for scientific analysis and future mission planning. Unfortunately, uncertain knowledge of the spacecraft's position and pointing during image acquisition resulted in significant errors in the location of the images on the surface. The result is that adjacent images are poorly aligned, with some images displaced by more than 100 km from their correct location. These errors severely degrade the usability of the Voyager and Galileo imaging data sets. To improve the usability of these data sets, we used the U.S. Geological Survey Integrated Software for Imagers and Spectrometers to build a nearly global image tie‐point network with more than 50,000 tie points and 135,000 image measurements on 481 Galileo and 221 Voyager images. A global least‐squares bundle adjustment of our final Europa tie‐point network calculated latitude, longitude, and radius values for each point by minimizing residuals globally, and resulted in root mean square (RMS) uncertainties of 246.6 m, 307.0 m, and 70.5 m in latitude, longitude, and radius, respectively. The total RMS uncertainty was 0.32 pixels. This work enables direct use of nearly the entire Galileo and Voyager image data sets for Europa. We are providing the community with updated NASA Navigation and Ancillary Information Facility Spacecraft, Planet, Instrument, C‐matrix (pointing), and Events kernels, mosaics of Galileo images acquired during each observation sequence, and individual processed and projected level 2 images.
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spelling pubmed-92860352022-07-19 Improving the Usability of Galileo and Voyager Images of Jupiter's Moon Europa Bland, Michael T. Weller, Lynn A. Archinal, Brent A. Smith, Ethan Wheeler, Benjamin H. Earth Space Sci Research Article NASA's Voyager 1, Voyager 2, and Galileo spacecraft acquired hundreds of images of Jupiter's moon Europa. These images provide the only moderate‐ to high‐resolution views of the moon's surface and are therefore a critical resource for scientific analysis and future mission planning. Unfortunately, uncertain knowledge of the spacecraft's position and pointing during image acquisition resulted in significant errors in the location of the images on the surface. The result is that adjacent images are poorly aligned, with some images displaced by more than 100 km from their correct location. These errors severely degrade the usability of the Voyager and Galileo imaging data sets. To improve the usability of these data sets, we used the U.S. Geological Survey Integrated Software for Imagers and Spectrometers to build a nearly global image tie‐point network with more than 50,000 tie points and 135,000 image measurements on 481 Galileo and 221 Voyager images. A global least‐squares bundle adjustment of our final Europa tie‐point network calculated latitude, longitude, and radius values for each point by minimizing residuals globally, and resulted in root mean square (RMS) uncertainties of 246.6 m, 307.0 m, and 70.5 m in latitude, longitude, and radius, respectively. The total RMS uncertainty was 0.32 pixels. This work enables direct use of nearly the entire Galileo and Voyager image data sets for Europa. We are providing the community with updated NASA Navigation and Ancillary Information Facility Spacecraft, Planet, Instrument, C‐matrix (pointing), and Events kernels, mosaics of Galileo images acquired during each observation sequence, and individual processed and projected level 2 images. John Wiley and Sons Inc. 2021-12-02 2021-12 /pmc/articles/PMC9286035/ /pubmed/35864914 http://dx.doi.org/10.1029/2021EA001935 Text en Published 2021. This article is a U.S. Government work and is in the public domain in the USA. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Article
Bland, Michael T.
Weller, Lynn A.
Archinal, Brent A.
Smith, Ethan
Wheeler, Benjamin H.
Improving the Usability of Galileo and Voyager Images of Jupiter's Moon Europa
title Improving the Usability of Galileo and Voyager Images of Jupiter's Moon Europa
title_full Improving the Usability of Galileo and Voyager Images of Jupiter's Moon Europa
title_fullStr Improving the Usability of Galileo and Voyager Images of Jupiter's Moon Europa
title_full_unstemmed Improving the Usability of Galileo and Voyager Images of Jupiter's Moon Europa
title_short Improving the Usability of Galileo and Voyager Images of Jupiter's Moon Europa
title_sort improving the usability of galileo and voyager images of jupiter's moon europa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286035/
https://www.ncbi.nlm.nih.gov/pubmed/35864914
http://dx.doi.org/10.1029/2021EA001935
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