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Augmenting Seafloor Characterization via Grain Size Analysis with Low-Cost Imagery: Minimizing Sedim...

Augmenting Seafloor Characterization via Grain Size Analysis with Low-Cost Imagery: Minimizing Sedim...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_394cbee747bd412ca1bed6f14bf715e4

Augmenting Seafloor Characterization via Grain Size Analysis with Low-Cost Imagery: Minimizing Sediment Sampler Biases and Increasing Habitat Classification Accuracy

About this item

Full title

Augmenting Seafloor Characterization via Grain Size Analysis with Low-Cost Imagery: Minimizing Sediment Sampler Biases and Increasing Habitat Classification Accuracy

Publisher

Basel: MDPI AG

Journal title

Geosciences (Basel), 2024-11, Vol.14 (11), p.313

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Bottom-grab samplers have long been the standard to describe nearshore marine habitats both qualitatively and quantitively. However, sediment samplers are designed to collect specific grain sizes and therefore have biases toward those sediments. Here, we discuss seafloor characterizations based on grain size analysis alone vs. grain size analysis a...

Alternative Titles

Full title

Augmenting Seafloor Characterization via Grain Size Analysis with Low-Cost Imagery: Minimizing Sediment Sampler Biases and Increasing Habitat Classification Accuracy

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_394cbee747bd412ca1bed6f14bf715e4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_394cbee747bd412ca1bed6f14bf715e4

Other Identifiers

ISSN

2076-3263

E-ISSN

2076-3263

DOI

10.3390/geosciences14110313

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