A Hybrid Model Coupling Physical Constraints and Machine Learning to Estimate Daily Evapotranspirati...
A Hybrid Model Coupling Physical Constraints and Machine Learning to Estimate Daily Evapotranspiration in the Heihe River Basin
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Author / Creator
Li, Xiang , Xue, Feihu , Ding, Jianli , Xu, Tongren , Song, Lisheng , Pang, Zijie , Wang, Jinjie , Xu, Ziwei , Ma, Yanfei , Lu, Zheng , Wu, Dongxing , Wei, Jiaxing , He, Xinlei and Zhang, Yuan
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Accurate estimation of surface evapotranspiration (ET) in the Heihe River Basin using remote sensing data is crucial for understanding water dynamics in arid regions. In this paper, by coupling physical constraints and machine learning for hybrid modeling, we develop a hybrid model based on surface conductance optimization. A hybrid modeling algori...
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Full title
A Hybrid Model Coupling Physical Constraints and Machine Learning to Estimate Daily Evapotranspiration in the Heihe River Basin
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_bc1a688edb384f4f9f8c287a5815b64a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bc1a688edb384f4f9f8c287a5815b64a
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs16122143
