Automatic Mapping and Characterisation of Linear Depositional Bedforms: Theory and Application Using Bathymetry from the North West Shelf of Australia Article Swipe
Ulysse Lebrec
,
Rosine Riera
,
Victorien Paumard
,
Michael O’Leary
,
Simon Lang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/rs14020280
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/rs14020280
Bedforms are key components of Earth surfaces and yet their evaluation typically relies on manual measurements that are challenging to reproduce. Several methods exist to automate their identification and calculate their metrics, but they often exhibit limitations where applied at large scales. This paper presents an innovative workflow for identifying and measuring individual depositional bedforms. The workflow relies on the identification of local minima and maxima that are grouped by neighbourhood analysis and calibrated using curvature. The method was trialed using a synthetic digital elevation model and two bathymetry surveys from Australia’s northwest marine region, resulting in the identification of nearly 2000 bedforms. The comparison of the metrics calculated for each individual feature with manual measurements show differences of less than 10%, indicating the robustness of the workflow. The cross-comparison of the metrics resulted in the definition of several sub-types of bedforms, including sandwaves and palaeoshorelines, that were then correlated with oceanic conditions, further corroborating the validity of the workflow. Results from this study support the idea that the use of automated methods to characterise bedforms should be further developed and that the integration of automated measurements at large scales will support the development of new classification charts that currently rely solely on manual measurements.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/rs14020280
- https://www.mdpi.com/2072-4292/14/2/280/pdf?version=1642127360
- OA Status
- gold
- Cited By
- 24
- References
- 56
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4205596804
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Raw OpenAlex JSON
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https://openalex.org/W4205596804Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/rs14020280Digital Object Identifier
- Title
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Automatic Mapping and Characterisation of Linear Depositional Bedforms: Theory and Application Using Bathymetry from the North West Shelf of AustraliaWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-01-07Full publication date if available
- Authors
-
Ulysse Lebrec, Rosine Riera, Victorien Paumard, Michael O’Leary, Simon LangList of authors in order
- Landing page
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https://doi.org/10.3390/rs14020280Publisher landing page
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https://www.mdpi.com/2072-4292/14/2/280/pdf?version=1642127360Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.mdpi.com/2072-4292/14/2/280/pdf?version=1642127360Direct OA link when available
- Concepts
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Bedform, Bathymetry, Workflow, Computer science, Robustness (evolution), Geology, Identification (biology), Maxima and minima, Data mining, Geomorphology, Oceanography, Mathematics, Sediment transport, Database, Biology, Gene, Chemistry, Sediment, Biochemistry, Mathematical analysis, BotanyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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24Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 6, 2023: 10, 2022: 5Per-year citation counts (last 5 years)
- References (count)
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56Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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