Evaluation of SST Data Products from Multi-Source Satellite Infrared Sensors in the Bohai-Yellow-East China Sea
نویسندگان
چکیده
The measurement of sea surface temperature (SST) is utmost importance in the realm oceanography. increasing utilization satellite data SST research has highlighted crucial need to compare and evaluate various sources. Using iQuam2 situ data, this study aims assess accuracy datasets obtained from three polar-orbiting satellites (AVHRR, Modis-Aqua, Modis-Terra) one geostationary (Himawari-8) Bohai-Yellow-East China Sea (BYECS) throughout 2019. results showed a strong correlation between with R coefficients exceeding 0.99. However, exhibited some variability, Himawari-8 showing highest deviation error MODIS-Aqua least. Subsequently, Modis-Aqua were used as benchmark other over previous six years (July 2015–June 2021). indicate that, addition intricate temporal variations, deviations also show significant spatial disparities due effect seawater temperature. Compared generally displayed negative trend BYECS pronounced seasonal variation. AVHRR across all regions except for substantial positive value coastal region, time variation exhibiting features. values MODIS-Terra only marginal MODIS-Aqua, during day at night. All significantly abnormal bias after December 2020, indicating that MODIS-Aqua-derived reference dataset may contain outliers beyond period. In conclusion, four varies different periods. they could be effectively utilized integrated relevant fusion algorithms synthesize high-precision future.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2023
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs15102493