Search Results for author: Bethany L. Ehlmann

Found 4 papers, 2 papers with code

Generalized Unsupervised Clustering of Hyperspectral Images of Geological Targets in the Near Infrared

1 code implementation24 Jun 2021 Angela F. Gao, Brandon Rasmussen, Peter Kulits, Eva L. Scheller, Rebecca Greenberger, Bethany L. Ehlmann

The application of infrared hyperspectral imagery to geological problems is becoming more popular as data become more accessible and cost-effective.

Clustering

A coupled model of episodic warming, oxidation and geochemical transitions on early Mars

1 code implementation11 Mar 2021 Robin Wordsworth, Andrew H. Knoll, Joel Hurowitz, Mark Baum, Bethany L. Ehlmann, James W. Head, Kathryn Steakley

Reconciling the geology of Mars with models of atmospheric evolution remains a major challenge.

Earth and Planetary Astrophysics Atmospheric and Oceanic Physics Geophysics

Machine-Learning-Driven New Geologic Discoveries at Mars Rover Landing Sites: Jezero and NE Syrtis

no code implementations5 Sep 2019 Murat Dundar, Bethany L. Ehlmann, Ellen K. Leask

A hierarchical Bayesian classifier is trained at pixel scale with spectral data from the CRISM (Compact Reconnaissance Imaging Spectrometer for Mars) imagery.

BIG-bench Machine Learning

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