Elliot Sefton-Nash
Biographic Data
| ID | 8536341 |
|---|---|
| NAME | Elliot Sefton-Nash |
| GIVEN NAMES | Elliot |
| FAMILY NAME | Sefton-Nash |
| SIGNATURE | SEFTON-NASH E |
| AFFILIATIONS | European Space Research and Technology Centre |
| ORCID | 0000-0002-5583-4438 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
The high-resolution map of Oxia Planum, Mars; the landing site of the ExoMars Rosalind Franklin rover mission
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
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
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…
The geography of Oxia Planum
la diffusion de documents scientifiques de niveau recherche, publis ou non, manant des tablissements d'enseignement et de recherche franais ou trangers, des laboratoires publics ou privs
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The geography of Oxia Planum
la diffusion de documents scientifiques de niveau recherche, publis ou non, manant des tablissements d'enseignement et de recherche franais ou trangers, des laboratoires publics ou privs
Oxia Planum, Mars, classified using the Noah-H deep-learning terrain classification system
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
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…
The high-resolution map of Oxia Planum, Mars; the landing site of the ExoMars Rosalind Franklin rover mission
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…
Astro and Planetary Science (4 works) · Geology (4 works) · Planetary Science and Exploration (4 works) · Cartography (3 works) · Geography (3 works) · Mars Exploration Program (3 works) · Remote sensing (3 works) · Space Science and Extraterrestrial Life (3 works) · Artificial Intelligence (2 works) · Astrobiology (2 works)