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Estimating the mixed layer depth of the global ocean by combining multisource remote sensing and spatiotemporal deep learning.

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Title: Estimating the mixed layer depth of the global ocean by combining multisource remote sensing and spatiotemporal deep learning.
Authors: Su, Hua1,2 (AUTHOR) suhua@fzu.edu.cn, Tang, Zhiwei1,2 (AUTHOR), Qiu, Junlong1,2 (AUTHOR), Wang, An1,2 (AUTHOR), Yan, Xiao-Hai3 (AUTHOR)
Source: International Journal of Digital Earth. Jan2024, Vol. 17 Issue 1, p1-20. 20p.
Database: Academic Search Ultimate
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  Data: Estimating the mixed layer depth of the global ocean by combining multisource remote sensing and spatiotemporal deep learning.
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  Data: <searchLink fieldCode="AR" term="%22Su%2C+Hua%22">Su, Hua</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> suhua@fzu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Tang%2C+Zhiwei%22">Tang, Zhiwei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qiu%2C+Junlong%22">Qiu, Junlong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+An%22">Wang, An</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yan%2C+Xiao-Hai%22">Yan, Xiao-Hai</searchLink><relatesTo>3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Digital+Earth%22">International Journal of Digital Earth</searchLink>. Jan2024, Vol. 17 Issue 1, p1-20. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189831301
RecordInfo BibRecord:
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        Value: 10.1080/17538947.2024.2332374
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      – Code: eng
        Text: English
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              Text: Jan2024
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              Y: 2024
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