The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Characterization of Strike-Slip Fault Offsets Using Deep Learning and Simulated Topographic Data (AGU25)

Characterization of Strike-Slip Fault Offsets Using Deep Learning and Simulated Topographic Data

Jules Bourcier1, Sarah Visage2, Sofia Goncalves1, Margaux Mouchené1, Léa Pousse Beltran1 and Sophie Giffard-Roisin1, (1)Institut des Sciences de la Terre, Université Grenoble Alpes, Grenoble, France, (2)Sapienza University of Rome, Istituto di Geologia Ambientale e Geoingegneria - CNR c/o Dipartimento di Scienze della Terra, Rome, Italy