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Remote sensing estimation of δ15NPN in the Zhanjiang Bay using Sentinel-3 OLCI data based on machine...

Remote sensing estimation of δ15NPN in the Zhanjiang Bay using Sentinel-3 OLCI data based on machine...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cb8545ca282343a9a6343d7c709c5538

Remote sensing estimation of δ15NPN in the Zhanjiang Bay using Sentinel-3 OLCI data based on machine learning algorithm

About this item

Full title

Remote sensing estimation of δ15NPN in the Zhanjiang Bay using Sentinel-3 OLCI data based on machine learning algorithm

Publisher

Lausanne: Frontiers Research Foundation

Journal title

Frontiers in Marine Science, 2024-05, Vol.11

Language

English

Formats

Publication information

Publisher

Lausanne: Frontiers Research Foundation

More information

Scope and Contents

Contents

The particulate nitrogen (PN) isotopic composition (δ
15
N
PN
) plays an important role in quantifying the contribution rate of particulate organic matter sources and indicating water environmental pollution. Estimation of δ
15
N
PN
from satellite images can provide significant spatiotemporal continuous data for nitrogen cyc...

Alternative Titles

Full title

Remote sensing estimation of δ15NPN in the Zhanjiang Bay using Sentinel-3 OLCI data based on machine learning algorithm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_cb8545ca282343a9a6343d7c709c5538

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cb8545ca282343a9a6343d7c709c5538

Other Identifiers

ISSN

2296-7745

E-ISSN

2296-7745

DOI

10.3389/fmars.2024.1366987

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