Remote Sensing of Aeolian Processes

Bryant, Robert G.; Baddock, Matthew C.

doi:10.1016/b978-0-12-818234-5.00132-2

Cited by 7 publications

(12 citation statements)

References 335 publications

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“…Analysis of a sequence of eight high-resolution PlanetScope and ESRI Basemap data [via Maxar, Digi-talGlobe] of the study site (2008-2021: Fig. 5E), allowed a detailed understanding of dune movement as per Bryant and Baddock (2021). The Landsat and PlanetScope/Maxar time series data gave crestal migration rates of ~12 m and 8-9 m per year respectively.…”

Section: Study Site and Samplingmentioning

confidence: 99%

Getting the right age? Testing luminescence dating of both quartz and feldspars against independent age controls

Bateman

Bryant

Luo

2022

Quaternary Geochronology

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Section: Study Site and Samplingmentioning

confidence: 99%

Getting the right age? Testing luminescence dating of both quartz and feldspars against independent age controls

Bateman

Bryant

Luo

2022

Quaternary Geochronology

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“…MODIS products) methods. Both approaches are impacted by cloud and the discrete nature of events in space and time (Bryant and Baddock, 2022). Nevertheless, improved detection, understanding, and quantification of high-latitude dust events remains integral to the development and accuracy of global dust and climate models (Arnalds et al, 2016;Bullard et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

The (mis)identification of high-latitude dust events using remote sensing methods in the Yukon, Canada: a sub-daily variability analysis

Huck

Bryant

King³

2023

Atmos. Chem. Phys.

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Abstract. The observation and quantification of mineral dust fluxes from high-latitude sources remains difficult due to a known paucity of year-round in situ observations and known limitations of satellite remote sensing data (e.g. cloud cover and dust detection). Here we explore the chronology of dust emissions at a known and instrumented high-latitude dust source: Lhù'ààn Mân (Kluane Lake) in Yukon, Canada. At this location we use oblique time-lapse (RC) cameras as a baseline for analysis of aerosol retrievals from in situ metrological data, AERONET, and co-incident MODIS MAIAC to (i) investigate the daily to annual chronology of dust emissions recorded by these instrumental and remote sensing methods (at timescales ranging from minutes to years) and (ii) use data intercomparisons to comment on the principal factors that control the detection of dust in each case. Lhù'ààn Mân is a prolific mineral dust source; on 24 May 2018 the RC captured dust in motion throughout the entire day, with the longest dust-free period lasting only 30 min. When compared with time series of RC data, optimized AERONET data only manage an overall 26 % detection rate for events (sub-day) but 100 % detection rate for dust event days (DEDs) when dust was within the field of view. In this instance, RC and remote sensing data were able to suggest that the low event detection rate was attributed to fundamental variations in dust advection trajectory, dust plume height, and inherent restrictions in sun angle at high latitudes. Working with a time series of optimized aerosol optical depth (AOD) data (covering 2018/2019), we were able to investigate the gross impacts of data quality (DQ) choice on DED detection at the month or year scale. Relative to ground observations, AERONET's DQ2.0 cloud-screening algorithm may remove as much as 97 % of known dust events (3 % detection). Finally, when undertaking an AOD comparison for DED and non-DED retrievals, we find that cloud screening of MODIS/AERONET lead to a combined low sample of co-incident dust events and weak correlations between retrievals. Our results quantify and explain the extent of under-representation of dust in both ground and space remote sensing methods; this is a factor that impacts on the effective calibration and validation of global climate and dust models.

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“…How the complex morphometric forms of star dunes react to local wind system changes is largely unknown and remains in a research stage of modelling concepts (Parteli et al, 2014; Tan et al, 2016; Zhang et al, 2004, 2012). To access, monitor and understand star dune dynamics in relation to changes in the local wind system in reality, multitemporal morphometric data in detailed spatial resolutions are required (Baughman et al, 2018; Bryant & Baddock, 2021; Schmid et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Capturing complex star dune dynamics—repeated highly accurate surveys combining multitemporal 3D topographic measurements and local wind data

Herzog

Anders

Höfle

et al. 2022

Earth Surf Processes Landf

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Morphologies of highly complex star dunes are the result of aeolian dynamics in past and present times. These dynamics reflect climatic conditions and associated forces like sediment availability and vegetation cover, as well as feedbacks with adjacent environments. However, an understanding of aeolian dynamics on star dune morphometries is still lacking sufficient detail, and their influence on formation and evolution remains unclear. We therefore investigate the dynamics of a complex star dune (Erg Chebbi, Morocco) by analysing wind measurements compared to morphometric changes derived from multitemporal high-accuracy 3D observations during two surveys (October 2018 and February 2020). Using real-time kinematic global navigation satellite system (RTK-GNSS) measurements and terrestrial laser scanning (TLS), the reaction of a star dune surface to an observed constant unimodal sand-moving wind is presented. TLS point clouds are used for morphometric analysis as well as direct surface change analysis, which relates to sand transport. RTK-GNSS measurements enable the assessment of horizontal crest movement. Observed surface changes lead to the identification of an overall shielding effect, resulting in sand accumulation mainly on windward slopes. Our results point to a self-sustained dune growth, whichhas not yet been described in such spatial detail. Steep slopes, often found on star dunes around the globe, seem to partly hinder upslope sand transport. Though a comparatively short observation period, we therefore hypothesize that, besides wind intensity alone, slope angles are more decisive for sand transport than previously assumed. Our methodological approach of combining meteorological data and highresolution multitemporal 3D elevation models can be used for monitoring all dune forms and contributes to a general understanding of dune dynamics and evolution.

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Remote Sensing of Aeolian Processes

Cited by 7 publications

References 335 publications

Getting the right age? Testing luminescence dating of both quartz and feldspars against independent age controls

Getting the right age? Testing luminescence dating of both quartz and feldspars against independent age controls

The (mis)identification of high-latitude dust events using remote sensing methods in the Yukon, Canada: a sub-daily variability analysis

Capturing complex star dune dynamics—repeated highly accurate surveys combining multitemporal 3D topographic measurements and local wind data

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