Hulunbeir Grassland Ecosystem Research station, Institute of
Agricultural Resources and Regional Planning, Chinese Academy of
Agricultural Sciences, Beijing, 100081, China
Hulunbeir Grassland Ecosystem Research station, Institute of
Agricultural Resources and Regional Planning, Chinese Academy of
Agricultural Sciences, Beijing, 100081, China
School of Physics and Electronic-Engineering, Ningxia University,
Yinchuan, 750021, China
Yibo Yan
Hulunbeir Grassland Ecosystem Research station, Institute of
Agricultural Resources and Regional Planning, Chinese Academy of
Agricultural Sciences, Beijing, 100081, China
Jiancheng Shi
National Space Science Center, Chinese Academy of Sciences,
Beijing, 100190, China
Han Wang
Hulunbeir Grassland Ecosystem Research station, Institute of
Agricultural Resources and Regional Planning, Chinese Academy of
Agricultural Sciences, Beijing, 100081, China
State Key Laboratory of Remote Sensing Science, Jointly Sponsored
by the Aerospace Information Research Institute of Chinese Academy of
Sciences and Beijing Normal University, Beijing, 100101, China
School of Earth Sciences and Resources, China University of
Geosciences, Beijing, 100083, China
Zijin Yuan
Hulunbeir Grassland Ecosystem Research station, Institute of
Agricultural Resources and Regional Planning, Chinese Academy of
Agricultural Sciences, Beijing, 100081, China
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We constructed a temperature depth and observation time correction model to eliminate the sampling depth and temporal differences among different data. Then, we proposed a reconstructed spatial model that filters and removes missing pixels and low-quality pixels contaminated by clouds from raw SST images and retrieves real sea surface temperatures under cloud coverage based on multisource data to generate a high-quality unified global SST product with long-term spatiotemporal continuity.
We constructed a temperature depth and observation time correction model to eliminate the...
