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Riverine Microplastic Quantification: A Novel Approach Integrating Satellite Images, Neural Network,...

Riverine Microplastic Quantification: A Novel Approach Integrating Satellite Images, Neural Network,...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_269e1394326b4a3a8583597db08ee593

Riverine Microplastic Quantification: A Novel Approach Integrating Satellite Images, Neural Network, and Suspended Sediment Data as a Proxy

About this item

Full title

Riverine Microplastic Quantification: A Novel Approach Integrating Satellite Images, Neural Network, and Suspended Sediment Data as a Proxy

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-11, Vol.23 (23), p.9505

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Rivers transport terrestrial microplastics (MP) to the marine system, demanding cost-effective and frequent monitoring, which is attainable through remote sensing. This study aims to develop and test microplastic concentration (MPC) models directly by satellite images and indirectly through suspended sediment concentration (SSC) as a proxy employin...

Alternative Titles

Full title

Riverine Microplastic Quantification: A Novel Approach Integrating Satellite Images, Neural Network, and Suspended Sediment Data as a Proxy

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_269e1394326b4a3a8583597db08ee593

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_269e1394326b4a3a8583597db08ee593

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23239505

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