A Global Perspective on Lunar Granular Flows

Abstract Dry granular flows are ubiquitous, yet poorly understood mass wasting features on the Moon. Above all, their global distribution, relation to the physical environment, and drivers are poorly understood. Here, we build and deploy a convolutional neural network and map 28,101 flow features be...

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Main Authors: V. T. Bickel, S. Loew, J. Aaron, N. Goedhart
Format: Article
Language:English
Published: Wiley 2022-06-01
Series:Geophysical Research Letters
Subjects:
Online Access:https://doi.org/10.1029/2022GL098812
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author V. T. Bickel
S. Loew
J. Aaron
N. Goedhart
author_facet V. T. Bickel
S. Loew
J. Aaron
N. Goedhart
author_sort V. T. Bickel
collection DOAJ
description Abstract Dry granular flows are ubiquitous, yet poorly understood mass wasting features on the Moon. Above all, their global distribution, relation to the physical environment, and drivers are poorly understood. Here, we build and deploy a convolutional neural network and map 28,101 flow features between 60°N and S by scanning through ∼150,000 Lunar Reconnaissance Orbiter images. We observe that flows are heterogeneously distributed over the Moon, where all major hotspots are located in craters and almost all hotspots are located in the nearside maria. We further observe that younger surfaces feature higher flow feature densities, while pre‐Nectarian terranes can still host flows, remaining subject to active erosion billions of years after their formation. Our observations suggest that impacts at various scales have been—and likely still are—acting as the main, global‐scale, long‐ and short‐term driver of flow occurrence, strongly influenced by the properties of the target rock material.
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institution Kabale University
issn 0094-8276
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publishDate 2022-06-01
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series Geophysical Research Letters
spelling doaj-art-e6d030a5b3644313a2ee2839cee91ace2025-01-22T14:38:15ZengWileyGeophysical Research Letters0094-82761944-80072022-06-014912n/an/a10.1029/2022GL098812A Global Perspective on Lunar Granular FlowsV. T. Bickel0S. Loew1J. Aaron2N. Goedhart3ETH Zurich Zurich SwitzerlandETH Zurich Zurich SwitzerlandETH Zurich Zurich SwitzerlandETH Zurich Zurich SwitzerlandAbstract Dry granular flows are ubiquitous, yet poorly understood mass wasting features on the Moon. Above all, their global distribution, relation to the physical environment, and drivers are poorly understood. Here, we build and deploy a convolutional neural network and map 28,101 flow features between 60°N and S by scanning through ∼150,000 Lunar Reconnaissance Orbiter images. We observe that flows are heterogeneously distributed over the Moon, where all major hotspots are located in craters and almost all hotspots are located in the nearside maria. We further observe that younger surfaces feature higher flow feature densities, while pre‐Nectarian terranes can still host flows, remaining subject to active erosion billions of years after their formation. Our observations suggest that impacts at various scales have been—and likely still are—acting as the main, global‐scale, long‐ and short‐term driver of flow occurrence, strongly influenced by the properties of the target rock material.https://doi.org/10.1029/2022GL098812moongranular flowsmachine learningerosionmass wastingweathering
spellingShingle V. T. Bickel
S. Loew
J. Aaron
N. Goedhart
A Global Perspective on Lunar Granular Flows
Geophysical Research Letters
moon
granular flows
machine learning
erosion
mass wasting
weathering
title A Global Perspective on Lunar Granular Flows
title_full A Global Perspective on Lunar Granular Flows
title_fullStr A Global Perspective on Lunar Granular Flows
title_full_unstemmed A Global Perspective on Lunar Granular Flows
title_short A Global Perspective on Lunar Granular Flows
title_sort global perspective on lunar granular flows
topic moon
granular flows
machine learning
erosion
mass wasting
weathering
url https://doi.org/10.1029/2022GL098812
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