Satellite remote sensing and field analyses of megaripples and dunes in the Skeleton Coast National Park, Namibia

The morphology of aeolian bedforms is controlled by the boundary conditions during their formation and evolution, playing a crucial role in reconstructing current and past environmental settings. This study investigates the morphology and dynamics of multiscale aeolian bedforms, specifically megaripples and barchan dunes, in Namibia's Skeleton Coast National Park using satellite remote sensing, reanalysis wind data, and field observations. Newly mapped megaripples show average wavelengths between 3.3 and 4.4 m, with crest orientations aligned predominantly with regional southerly winds. Remote sensing data reveal a dune migration rate of ∼30 m yr −1 and an average sand flux of ∼140 m 3 m −1 yr −1 , while field-based storm observations yield a peak flux of 256 m 3 m −1 yr −1 . A novel correlation between armoring layer thickness and grain-size median (D 50 ) suggests a feedback loop where larger grains promote ripple growth. Seasonal wind shifts inferred from dune patterns and wind streaks are corroborated by ERA5 reanalysis, indicating a dynamic yet low-energy aeolian system. The results provide insights into sediment transport mechanisms across scales, the evolution of ripple morphometry, and grain-size feedbacks influencing megaripple formation, offering valuable analogs for similar processes on Mars. This multiscale assessment supports improved modeling of terrestrial and planetary aeolian systems. • Multiscale bedforms indicate low-energy winds with local topographic variations. • Novel grain-armoring relationship informs megaripple formation. • Storm-driven sand fluxes exceed long-term remote sensing averages. • Leveraging satellite remote sensing and fieldwork to study megaripples and dunes.

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Publication Details

Journal
Science of Remote Sensing
Published
2025-12-05
DOI
https://doi.org/10.1016/j.srs.2025.100347
Primary Topic
Aeolian processes and effects
Type
article
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article

Satellite remote sensing and field analyses of megaripples and dunes in the Skeleton Coast National Park, Namibia

Aviv Lee Cohen-Zada, Hezi Yizhaq, S. Silvestro, D. A. Vaz et al.
Science of Remote Sensing
Aeolian processes and effects
article

Satellite remote sensing and field analyses of megaripples and dunes in the Skeleton Coast National Park, Namibia

Aviv Lee Cohen-Zada, Hezi Yizhaq, S. Silvestro, D. A. Vaz, Lior Saban, Itzhak Katra, L. Berger
article en

Abstract

The morphology of aeolian bedforms is controlled by the boundary conditions during their formation and evolution, playing a crucial role in reconstructing current and past environmental settings. This study investigates the morphology and dynamics of multiscale aeolian bedforms, specifically megaripples and barchan dunes, in Namibia's Skeleton Coast National Park using satellite remote sensing, reanalysis wind data, and field observations. Newly mapped megaripples show average wavelengths between 3.3 and 4.4 m, with crest orientations aligned predominantly with regional southerly winds. Remote sensing data reveal a dune migration rate of ∼30 m yr −1 and an average sand flux of ∼140 m 3 m −1 yr −1 , while field-based storm observations yield a peak flux of 256 m 3 m −1 yr −1 . A novel correlation between armoring layer thickness and grain-size median (D 50 ) suggests a feedback loop where larger grains promote ripple growth. Seasonal wind shifts inferred from dune patterns and wind streaks are corroborated by ERA5 reanalysis, indicating a dynamic yet low-energy aeolian system. The results provide insights into sediment transport mechanisms across scales, the evolution of ripple morphometry, and grain-size feedbacks influencing megaripple formation, offering valuable analogs for similar processes on Mars. This multiscale assessment supports improved modeling of terrestrial and planetary aeolian systems. • Multiscale bedforms indicate low-energy winds with local topographic variations. • Novel grain-armoring relationship informs megaripple formation. • Storm-driven sand fluxes exceed long-term remote sensing averages. • Leveraging satellite remote sensing and fieldwork to study megaripples and dunes.

Science of Remote SensingVol. 13
Ben-Gurion University of the Negev (IL), Astronomical Observatory of Capodimonte (IT), University of Coimbra (PT), Search for Extraterrestrial Intelligence (US), Texas A&M University (US)
Openalex Percentile: Top 60%
Aeolian processes and effects
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