Artificial intelligence in planetary science and astronomy: Applications and research potential

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dc.authorid0000-0002-7401-1509
dc.authorid0000-0001-9325-6889
dc.authorid0000-0002-2178-521X
dc.authorid0000-0002-9140-3977
dc.authorid0000-0002-2857-6621
dc.authorid0000-0003-2786-0740
dc.authorid0000-0002-7538-6265
dc.authorid0000-0001-5001-1347
dc.authorid0000-0001-8264-8668
dc.authorid0000-0003-2693-3346
dc.authorid0000-0002-3076-164X
dc.authorid0000-0002-5356-6433
dc.authorid0000-0002-8068-7695
dc.contributor.authorKacholia, Devanshi
dc.contributor.authorVerma, Nimisha
dc.contributor.authorD’Amore, Mario
dc.contributor.authorAngrisani, Marianna
dc.contributor.authorFrigeri, Alessandro
dc.contributor.authorSchmidt, Frédéric
dc.contributor.authorCarruba, Valerio
dc.contributor.authorHatipoğlu, Y. Güray
dc.contributor.authorRoos-Serote, Maarten
dc.contributor.authorSmirnov, Evgeny
dc.contributor.authorVergara Sassarini, Natalia Amanda
dc.contributor.authorSolmaz, Arif
dc.contributor.authorOszkiewicz, Dagmara
dc.contributor.authorIvanovski, Stavro
dc.date.accessioned2025-11-13T08:48:59Z
dc.date.available2025-11-13T08:48:59Z
dc.date.issued2025
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Mekatronik Mühendisliği Bölümü
dc.description.abstractArtificial Intelligence (AI) is one of the most influential fields of the 21st century (Zhang et al., 2021). Rich, E (2019) candidly described it as “the study of how to make computers do things which, at the moment, people do better”, today AI often surpasses human ability in tasks like large scale data mining and pattern recognition - its true strength. AI’s subfields - Machine Learning (ML) and deep learning (DL), play a critical role in expanding the usage to a vast variety of fields like planetary science, astronomy, earth observations, and remote sensing, just to name a few. There is an expected inclination towards incorporating AI more frequently in the studies of planetary science given the vast and complex nature of planetary data. In fact, AI has already been instrumental in extracting meaningful insights and advancing research in both interplanetary and astronomical studies. In planetary sciences, several AI techniques have been employed in order to bridge gaps in our understanding of the varied patterns and occurrences for studying the natural features observable from the data returned by scientific payloads. For example, PCA and cluster analysis can help in detecting patterns of compositional variation from multi and hyper-spectral imagery (Moussaoui et al., 2008; D’Amore & Padovan, 2022). Furthermore, to study specific features and patterns in their occurrences, correlations with neighbouring features; unsupervised algorithms and more complex -supervised techniques can be helpful depending on the scale of the task. From simple methods of unsupervised learning like clustering used to study the spectral signatures of Jezero crater on Mars (Pletl et al., 2023) to applying large language models to track asteroids affected by gravitational effects which alter the asteroid’s orbit (Carruba et al., 2025), such applications highlight the prospects of AI in the field of planetary science. Henceforth, to develop a deeper understanding of the potential and applications of ML, below is a typical AI workflow.
dc.identifier.citationKacholia, D., Verma, N., D’Amore, M., Angrisani, M., Frigeri, A., Schmidt, F., Carruba, V., Hatipoğlu, Y. G., Roos-Serote, M., Smirnov, E., Vergara Sassarini, N. A., Solmaz, A., Oszkiewicz, D., & Ivanovski, S. (2025). Artificial intelligence in planetary science and astronomy: Applications and research potential. EPSC-DPS Joint Meeting 2025, 18, https://doi.org/10.5194/epsc-dps2025-1467
dc.identifier.doi10.5194/epsc-dps2025-1467
dc.identifier.urihttps://doi.org/10.5194/epsc-dps2025-1467
dc.identifier.urihttps://hdl.handle.net/20.500.13055/1188
dc.identifier.volume18
dc.institutionauthorSolmaz, Arif
dc.institutionauthorid0000-0002-3076-164X
dc.language.isoen
dc.publisherEuro Planet
dc.relation.ispartofEPSC-DPS Joint Meeting 2025
dc.relation.publicationcategoryKonferans Öğesi - Ulusal - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleArtificial intelligence in planetary science and astronomy: Applications and research potential
dc.typeConference Object
dspace.entity.typePublication

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