Alexander M Barrett

Biographic Data

ID8536335
NAMEAlexander M Barrett
GIVEN NAMESAlexander M
FAMILY NAMEBarrett
SIGNATUREBARRETT A M
AFFILIATIONSThe Open University
ORCID0000-0003-3441-9216
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
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…

  • 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 …