Peter Fawdon

Biographic Data

ID8536336
NAMEPeter Fawdon
GIVEN NAMESPeter
FAMILY NAMEFawdon
SIGNATUREFAWDON P
AFFILIATIONSThe Open University
ORCID0000-0003-1900-8347
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS0
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2024
H-INDEX0

  • The high-resolution map of Oxia Planum, Mars; the landing site of the ExoMars Rosalind Franklin rover mission

    Open AccessPeter Fawdon, Csilla Orgel et al.ARTICLEJournal of Maps2024

    This 1:30,000 scale geological map describes Oxia Planum, Mars, the landing site for the ExoMars Rosalind Franklin rover mission. The map represents our current understanding of bedrock units and their relationships prior to Rosalind Franklin’s exploration of this location. The map details 15 bedrock units organised into 6 groups and 7 textural and surficial units. The bedrock units were identified using visible and near-infrared remote sensing d…

  • Oxia Planum, Mars, classified using the Noah-H deep-learning terrain classification system

    Open AccessAlexander M Barrett, Jack Wright et al.ARTICLEJournal of Maps2023

    We present a map of Oxia Planum, Mars, the landing site for the ExoMars Rover. This shows surface texture and aeolian bedform distribution, classified using a deep learning (DL) system. A hierarchical classification scheme was developed, categorising the surface textures observed at the site. This was then used to train a DL network, the ‘Novelty or Anomaly Hunter – HiRISE’ (NOAH-H). The DL applied the classification scheme across a wider area th…

  • Map of tectonic shortening structures in Chryse Planitia and Arabia Terra, Mars

    Open AccessSavana Z Woodley, Peter Fawdon et al.ARTICLEJournal of Maps2023

    We present a 1:4,000,000 scale map of tectonic landforms in Chryse Planitia and Arabia Terra, on either side of Mars’ dichotomy. Our study area is a ∼3 million km2 region, transitional between Mars’ highlands and lowlands including Oxia Planum, the landing site of the ExoMars rover. Using a structural mapping approach, we digitised all kilometre-scale tectonic structures at a scale of 1:50,000 using high-resolution data (∼6 m/pixel). Although thi…

  • Mawrth Vallis, Mars, classified using the Noah-H deep-learning terrain classification system

    Open AccessAlexander M Barrett, Peter Fawdon et al.ARTICLEJournal of Maps2023

    A deep learning (DL) terrain classification system, the Novelty and Anomaly Hunter – HiRISE (NOAH-H) was used to produce a terrain map of Mawrth Vallis, Mars. With it, we digitised the extent and distribution of transverse aeolian ridges (TARs), a common type of martian aeolian bedform. We present maps of the site, classifying terrain into descriptive classes and interpretive groups. TAR density maps are calculated, and the network output is comp…

  • Jezero crater, Mars

    Open AccessJack Wright, Alexander M Barrett et al.ARTICLEJournal of Maps2022

    We applied a deep learning terrain classification system, the ‘Novelty or Anomaly Hunter – HiRISE’ (NOAH-H), originally developed for the ExoMars landing sites in Oxia Planum and Mawrth Vallis, to the Mars 2020 Perseverance rover landing site in Jezero crater. NOAH-H successfully classified the terrain in four HiRISE images of Jezero even though the landforms in the Jezero study area were slightly different from those in the training dataset. We …

  • Impact crater degradation, Oxia Planum, Mars

    Open AccessAmelie L Roberts, Peter Fawdon et al.ARTICLEJournal of Maps2021

    The main goal of the European Space Agency (ESA) and Roscosmos ExoMars rover mission is to collect samples from the near-subsurface of Mars. The rover will look for any physical or chemical evidence of ancient life in the near subsurface. This map shows the distribution of impact craters at this proposed landing site in Oxia Planum on Mars. The map records 1199 impact craters > 500 m in diameter in a 5.0° × 2.5° region around Oxia Planum. The imp…

  • The geography of Oxia Planum

    Open AccessPeter Fawdon, Peter Grindrod et al.ARTICLEJournal of Maps2021

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