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Alexander Barrett

Alexander Barrett

Post Doctoral Research Associate, Mars Machine Learning

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physical-sciences

This person is listed as a postgraduate research student in the Faculty of Science, Technology, Engineering and Mathematics (STEM) at The Open University.

This page brings together the profile information currently available from OU Profiles and related published content from the STEM platforms. Further information will appear when it is added to those sources.

Latest publications

Displaying 10 of 11 publications

  • Barrett, A. M., Balme, M. R., Favaro, E. A., Woods, M. J., Malinowski, M., Elsarky, L., Rajendran, K., Holmes, J. A. and Patel, M. R., 2026, ‘Detecting and measuring Transverse Aeolian Ridges on Mars using deep learning’, Icarus, 449, https://oro.open.ac.uk/109102/.
  • Fawdon, P., Orgel, C., Adeli, S., Balme, M., Calef, F. J., Davis, J. M., Frigeri, A., Grindrod, P., Hauber, E., Le Deit, L., Loizeau, D., Nass, A., Quantin-Nataf, C., Sefton-Nash, E., Thomas, N., Torres, I., Vago, J. L., Volat, M., De Witte, S., Altieri, F., Apuzzo, A., Aramendia, J., Arana, G., Bahia, R. S., Banham, S. G., Barnes, R., Barrett, A. M., Benedix, W., Bhardwaj, A., Boazman, S. J., Bontognali, T. R. R., Bridges, J., Bultel, B., Ciarletti, V., De Sanctis, M. C., Dickeson, Z., Favaro, E. A., Ferrari, M., Foucher, F., Goetz, W., Haldemann, A. F. C., Harrington, E., Kapatza, A., Koschny, D., Krzesinska, A. M., Le Gall, A., Lewis, S. R., Lim, T., Madariaga, J. M., Man, B. J., Mandon, L., Mangold, N., Martin-Torres, J., McNeil, J. D., Molina, A., Moral, A. G., Motaghian, S., Nikiforov, S., Oudart, N., Pacifici, A., Parkes Bowen, A., Plettemeier, D., Poulakis, P., Putri, A. R. D., Ruesch, O., Sam, L., Schröder, C., Statz, C., Thomas, R., Tirsch, D., Toth, Z., Turner, S., Voelker, M., Werner, S. C., Westall, F., Whiteside, B. J., Williams, A., Williams, R. M. E., Wright, J. and Zorzano, M., 2024, ‘The high-resolution map of Oxia Planum, Mars; the landing site of the ExoMars Rosalind Franklin rover mission’, Journal of Maps, 20(1), https://oro.open.ac.uk/97016/.
  • Barrett, A. M., Fawdon, P., Favaro, E. A., Balme, M. R., Wright, J., Woods, M. J., Karachalios, S., Bohacek, E., Gerdes, L., Sefton-Nash, E. and Joudrier, L., 2023, ‘Mawrth Vallis, Mars, classified using the NOAH-H deep-learning terrain classification system’, Journal of Maps, 19(1), https://oro.open.ac.uk/94661/.
  • Barrett, A. M., Wright, J., Favaro, E., Fawdon, P., Balme, M. R., Woods, M. J., Karachalios, S., Bohachek, E., Sefton-Nash, E. and Joudrier, L., 2023, ‘Oxia Planum, Mars, classified using the NOAH-H deep-learning terrain classification system’, Journal of Maps, 19(1), https://oro.open.ac.uk/84631/.
  • Wright, J., Barrett, A. M., Fawdon, P., Favaro, E. A., Balme, M. R., Woods, M. J. and Karachalios, S., 2022, ‘Jezero crater, Mars: application of the deep learning NOAH-H terrain classification system’, Journal of Maps, 18(2), pp. 484–496., https://oro.open.ac.uk/84535/.
  • Barrett, A. M., Balme, M. R., Woods, M., Karachalios, S., Petrocelli, D., Joudrier, L. and Sefton-Nash, E., 2022, ‘NOAH-H, a deep-learning, terrain classification system for Mars: Results for the ExoMars Rover candidate landing sites’, Icarus, 371, https://oro.open.ac.uk/78993/.
  • Favaro, E., Balme, M., Davis, J., Grindrod, P., Fawdon, P., Barrett, A. and Lewis, S., 2021, ‘The Aeolian Environment of the Landing Site for the ExoMars Rosalind Franklin Rover in Oxia Planum, Mars’, Journal of Geophysical Research: Planets, 126(4), https://oro.open.ac.uk/75220/.
  • Barrett, A. M., Balme, M. R., Patel, M. R. and Hagermann, A., 2018, ‘The distribution of putative periglacial landforms on the martian northern plains’, Icarus, 314 pp. 133–148., https://oro.open.ac.uk/55455/.
  • Barrett, A., 2018, ‘Where should the ExoMars rover land? Astronomy & Geophysics, 59(5), 5’, 12-5.16., https://oro.open.ac.uk/56796/.
  • Brooker, L. M., Balme, M. R., Conway, S. J., Hagermann, A., Barrett, A. M., Collins, G. S. and Soare, R. J., 2018, ‘Clastic Polygonal Networks Around Lyot Crater, Mars: Possible Formation Mechanisms From Morphometric Analysis’, Icarus, 302 pp. 386–406., https://oro.open.ac.uk/52656/.
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