Remote sensing and spatial analysis of aeolian sand dunes: A review and outlook

Hugenholtz, Chris H.; Levin, Noam; Barchyn, Thomas E.; Baddock, Matthew C.

doi:10.1016/j.earscirev.2011.11.006

Cited by 168 publications

(96 citation statements)

References 151 publications

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“…En la literatura disponible no se encontraron otros casos de estudio en los que se recurra a la percepción remota para evaluar la estructura espacial y cambios en el tiempo de campos de dunas sumergidas. Solamente se advirtió de un estudio que utilizó imágenes satelitales para evaluar sedimentos suspendidos en India (Subramanian et al 1988), y otro para dunas eólicas (Hugenholtz et al 2012).…”

Section: Análisis Sedimentológicounclassified

Análisis espacial y temporal de campos de dunas submarinas en la costa de Yucatán, México

Cuevas¹,

Liceaga-Correa²,

Arellano-Méndez³

et al. 2013

Rev. biol. mar. oceanogr.

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Section: Análisis Sedimentológicounclassified

Análisis espacial y temporal de campos de dunas submarinas en la costa de Yucatán, México

Cuevas¹,

Liceaga-Correa²,

Arellano-Méndez³

et al. 2013

Rev. biol. mar. oceanogr.

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“…The most common platforms that were used in these studies include: Landsat (Mohamed & Verstraeten, 2012;AlMasrahy & Mountney, 2013), SRTM (Blumberg, 2006;Effat et al, 2012), SPOT (Ghadiry et al, 2012;El-Magd et al, 2013) and Quickbird (Hesse, 2009;Levin et al, 2012). After Hugenholtz et al (2012), the aim of this study is to compare Landsat and Worldview 2 imagery to determine if similar dune patterns can be detected at the two different spatial resolutions (Landsat vs. Worldview 2), and ultimately to study dune migration within the Ubari Sand Sea.…”

Section: Introductionmentioning

confidence: 99%

“…Determining the rates of sand dune movements and their spatial and temporal variations can be useful in order to protect both anthropogenic and natural resources (El-Magd et al, 2013) and relationships between dune dynamics and climate. Hugenholtz et al (2012) identified several challenges associated with the use of remote sensing to study sand dunes and their environment including the spatial scale and limits of dunes and the spatial resolution of remote sensing data used to identify dunes (Hugenholtz et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Comparison of two Satellite Imaging Platforms for Evaluating Sand Dune Migration in the Ubari Sand Sea (Libyan Fazzan)

Els

Merlo

Knight

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Sand dunes can change location, form or dimensions depending on wind direction and strength. Sand dune movements can be effectively monitored through the comparison of multi-temporal satellite images. However, not all remote sensing platforms are suitable to study sand dunes. This study compares coarse (Landsat) and fine (Worldview) resolution platforms, specifically focussing on sand dunes within the Ubari Sand Sea (Libya). Sand dune features (crest line, dune ridge basal outlines) were extracted from Landsat and Worldview 2 imagery in order to construct geomorphic maps. These geomorphic maps were then compared using image overlay and differencing, and the Root Mean Squared Error (RMSE) was used to determine if the mapped dune patterns were significantly different. It was found that Landsat is a sufficient data source when studying dune patterns within a regional sand sea, but smaller dunes identified from Worldview data were not capable of being extracted in the data sourced from Landsat. This means that for studies concerned with the dune patterns and movements within sand seas, Landsat is sufficient. But in studies where the specific dynamics of specific dunes are required, a finer resolution is required; platforms such as Worldview are needed in order to gain more detailed insight and to link the past and present day climate and environmental change.

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“…The classic planimetric discretization of landforms using points or lines is still the preferred methodology, even if it is recognized that it can be a highly subjective task whose results are not necessarily reproducible (Hugenholtz et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Mapping and characterization of small-scale aeolian structures on Mars: An example from the MSL landing site in Gale Crater

Vaz

Silvestro

2014

Icarus

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A new set of methodologies, which allow a simple and fast mapping and characterization of small-scale aeolian structures on Mars is introduced in this work. We follow an object-based approach in which the bedform crestlines are automatically mapped and characterized.From the methodology validation, we conclude that the quality of the obtained results is comparable with human-produced photointerpretations. We show that the accuracy associated with the measurement of mean trends from the automatically mapped patterns is less than 10º.Through the analysis of two areas located near the MSL landing site in Gale Crater, we explore some of the possibilities that the automatic mapping technique enables. Namely, for multitemporal surveys and ripple pattern analysis.We demonstrate how the mapped ripple patterns can be used to assess local wind orientations, and we analyze some examples that illustrate the diversity of wavelength spatial distributions that can be found on Mars. We try to relate these pattern wavelength variations with the possible local influence of granulometry and wind shear velocity. HighlightsWe introduce a set of new tools for analyzing small-scale aeolian bedforms on MarsWe evaluate the accuracy of the new mapping methodologies Several examples of possible applications are given Contrasting ripple wavelength spatial distributions are described in Gale Crater

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Remote sensing and spatial analysis of aeolian sand dunes: A review and outlook

Cited by 168 publications

References 151 publications

Análisis espacial y temporal de campos de dunas submarinas en la costa de Yucatán, México

Análisis espacial y temporal de campos de dunas submarinas en la costa de Yucatán, México

Comparison of two Satellite Imaging Platforms for Evaluating Sand Dune Migration in the Ubari Sand Sea (Libyan Fazzan)

Mapping and characterization of small-scale aeolian structures on Mars: An example from the MSL landing site in Gale Crater

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