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Prediction of soil moisture using BiGRU-LSTM model with STL decomposition in Qinghai–Tibet Plateau

Prediction of soil moisture using BiGRU-LSTM model with STL decomposition in Qinghai–Tibet Plateau

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9820b7bc9c7149c6b4925f8c09a2e686

Prediction of soil moisture using BiGRU-LSTM model with STL decomposition in Qinghai–Tibet Plateau

About this item

Full title

Prediction of soil moisture using BiGRU-LSTM model with STL decomposition in Qinghai–Tibet Plateau

Publisher

San Diego, USA: PeerJ. Ltd

Journal title

PeerJ (San Francisco, CA), 2023-08, Vol.11, p.e15851-e15851, Article e15851

Language

English

Formats

Publication information

Publisher

San Diego, USA: PeerJ. Ltd

More information

Scope and Contents

Contents

Ali Network data based on the Qinghai-Tibetan Plateau (QTP) can provide representative coverage of the climate and surface hydrometeorological conditions in the cold and arid region of the QTP. Among them, the plateau soil moisture can effectively quantify the uncertainty of coarse resolution satellite and soil moisture models. With the objective o...

Alternative Titles

Full title

Prediction of soil moisture using BiGRU-LSTM model with STL decomposition in Qinghai–Tibet Plateau

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9820b7bc9c7149c6b4925f8c09a2e686

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9820b7bc9c7149c6b4925f8c09a2e686

Other Identifiers

ISSN

2167-8359

E-ISSN

2167-8359

DOI

10.7717/peerj.15851

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