Supplemental material
Journal of Maps
Volume 18, 2022 - Issue 2
Science
Jezero crater, Mars: application of the deep learning NOAH-H terrain classification system
Jack Wrighta European Space Agency (ESA), European Space Astronomy Centre (ESAC), Madrid, SpainCorrespondence[email protected]
https://orcid.org/0000-0003-0481-0863View further author information
https://orcid.org/0000-0003-0481-0863View further author information, Alexander M. Barrettb School of Physical Sciences, The Open University, Milton Keynes, UKhttps://orcid.org/0000-0003-3441-9216View further author information
https://orcid.org/0000-0003-3441-9216View further author information, Peter Fawdonb School of Physical Sciences, The Open University, Milton Keynes, UKhttps://orcid.org/0000-0003-1900-8347View further author information
https://orcid.org/0000-0003-1900-8347View further author information, Elena A. Favarob School of Physical Sciences, The Open University, Milton Keynes, UKhttps://orcid.org/0000-0001-6126-5465View further author information
https://orcid.org/0000-0001-6126-5465View further author information, Matthew R. Balmeb School of Physical Sciences, The Open University, Milton Keynes, UKhttps://orcid.org/0000-0001-5871-7475View further author information
https://orcid.org/0000-0001-5871-7475View further author information, Mark J. Woodsc SCISYS Ltd, Chippenham, UKhttps://orcid.org/0000-0003-3554-7631View further author information
https://orcid.org/0000-0003-3554-7631View further author information & show allRelated Research Data
Jezero crater, Mars: application of the deep learning NOAH-H terrain classification system
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