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Big Earth Data Volume 6, 2022 - Issue 2: Remotely sensed big data for the oceans and polar regions
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Data Article

A global process-oriented sea surface temperature anomaly dataset retrieved from remote sensing products

Cunjin Xuea Key Laboratory of Digital Earth Science, Chinese Academy of Sciences, Beijing, China;b Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-3605-6578View further author information
ORCID Icon,
Yangfeng Xua Key Laboratory of Digital Earth Science, Chinese Academy of Sciences, Beijing, China;c College of Oceanography and Space Informatics, China University of Petroleum, Qingdao, ChinaView further author information
&
Yawen Hec College of Oceanography and Space Informatics, China University of Petroleum, Qingdao, ChinaView further author information
Pages 179-195 | Received 08 Jun 2021, Accepted 28 Sep 2021, Published online: 14 Dec 2021

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