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: Derivation of dust optical depth from images taken by a Mars rover using a radiative transfer model and deep learning (AGU25)

Derivation of dust optical depth from images taken by a Mars rover using a radiative transfer model and deep learning

Itsuki Kashimura1, Takeshi Kuroda1, Tomohiro Sato2, Hironobu Iwabuchi1 and Naoki Terada1, (1)Tohoku University, Department of Geophysics, Graduate School of Science, Sendai, Japan, (2)NICT National Institute of Information and Communications Technology, Tokyo, Japan