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Spatiotemporal dynamics and multidimensional drivers of laver aquaculture in Haizhou Bay: insights f...

Spatiotemporal dynamics and multidimensional drivers of laver aquaculture in Haizhou Bay: insights f...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_399e9bb53f31405ebba1a9c83d7d999c

Spatiotemporal dynamics and multidimensional drivers of laver aquaculture in Haizhou Bay: insights from U-net-based remote sensing monitoring

About this item

Full title

Spatiotemporal dynamics and multidimensional drivers of laver aquaculture in Haizhou Bay: insights from U-net-based remote sensing monitoring

Publisher

Frontiers Media S.A

Journal title

Frontiers in Marine Science, 2025-03, Vol.12

Language

English

Formats

Publication information

Publisher

Frontiers Media S.A

More information

Scope and Contents

Contents

The ecological impacts of expanding nearshore aquaculture demand accurate monitoring and a mechanistic understanding of underlying drivers. This study employed Landsat remote sensing images spanning 2000 to 2023 and a U-Net deep learning model to extract spatiotemporal patterns of laver aquaculture in Haizhou Bay, China, while also investigating th...

Alternative Titles

Full title

Spatiotemporal dynamics and multidimensional drivers of laver aquaculture in Haizhou Bay: insights from U-net-based remote sensing monitoring

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_399e9bb53f31405ebba1a9c83d7d999c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_399e9bb53f31405ebba1a9c83d7d999c

Other Identifiers

ISSN

2296-7745

E-ISSN

2296-7745

DOI

10.3389/fmars.2025.1529918

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