2023
DOI: 10.1029/2022gl102610
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Global Surface Winds and Aeolian Sediment Pathways on Mars From the Morphology of Barchan Dunes

L. Rubanenko,
A. Gunn,
S. Pérez‐López
et al.

Abstract: In the absence of consistent meteorological data on Mars, the morphology of dunes can be employed to study its atmosphere. Specifically, barchan dunes, which form under approximately unimodal winds, are reliable proxies for the dominant wind directions. Here, we characterize near‐surface winds on Mars from the morphology of >700,000 barchans mapped globally on the planet by a convolutional neural network. Barchan migration is predominantly aligned with known southern‐summer atmospheric circulation patterns—… Show more

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Cited by 4 publications
(1 citation statement)
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“…Mask R‐CNN is widely used in computer vision applications such as autonomous driving, robotics, and medical imaging (Fang et al., 2023; Jia et al., 2020; Johnson, 2018; Malbog, 2019; Shu et al., 2020). Moreover, it has previously been used for studying surface processes from satellite imagery, yielding sufficient accuracy in characterizing the morphometrics of various landforms (e.g., up to ∼80% mean average precision (AP) for planetary dunes and boulders; Rubanenko et al., 2021; 2022; 2023; Shimizu et al., 2022).…”
Section: Bouldernet: Methodsmentioning
confidence: 99%
“…Mask R‐CNN is widely used in computer vision applications such as autonomous driving, robotics, and medical imaging (Fang et al., 2023; Jia et al., 2020; Johnson, 2018; Malbog, 2019; Shu et al., 2020). Moreover, it has previously been used for studying surface processes from satellite imagery, yielding sufficient accuracy in characterizing the morphometrics of various landforms (e.g., up to ∼80% mean average precision (AP) for planetary dunes and boulders; Rubanenko et al., 2021; 2022; 2023; Shimizu et al., 2022).…”
Section: Bouldernet: Methodsmentioning
confidence: 99%