Quality Assessment of FY-3D/MERSI-II Thermal Infrared Brightness Temperature Data from the Arctic Region: Application to Ice Surface Temperature Inversion

The Arctic region plays an important role in the global climate system. To promote the application of Medium Resolution Spectral Imager-II (MERSI-II) data in the ice surface temperature (IST) inversion, we used the thermal infrared channels (channels 24 and 25) of the MERSI-II onboard Chinese FY-3D...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2022-12, Vol.14 (24), p.6392
Main Authors: Chen, Haihua, Meng, Xin, Li, Lele, Ni, Kun
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Arctic zone
Bias
Brightness
Brightness temperature
Calibration
Channels
Climate change
Climate system
Correlation coefficient
Correlation coefficients
Data analysis
Datasets
Earth Observing System (EOS)
Global climate
Ice
Ice environments
ice surface temperature
MERSI
Meteorological satellites
MODIS
Quality assessment
Quality control
Radiation
Radiometers
Sea surface temperature
Sensors
Spectroradiometers
Temperature
Temperature inversions
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Summary:The Arctic region plays an important role in the global climate system. To promote the application of Medium Resolution Spectral Imager-II (MERSI-II) data in the ice surface temperature (IST) inversion, we used the thermal infrared channels (channels 24 and 25) of the MERSI-II onboard Chinese FY-3D satellite and the thermal infrared channels (channels 31 and 32) of the Earth Observing System (EOS) Moderate-Resolution Imaging Spectroradiometer (MODIS) onboard the National Aeronautical and Space Administration (NASA) Aqua satellite for data analysis. Using the Observation–Observation cross-calibration algorithm to cross-calibrate the MERSI and MODIS thermal infrared brightness temperature (Tb) data in the Arctic, channel 24 and 25 data from the FY-3D/MERSI-II on Arctic ice were evaluated. The thermal infrared Tb data of the MERSI-II were used to retrieve the IST via the split-window algorithm. In this study, the correlation coefficients of the thermal infrared channel Tb data between the MERSI and MODIS were >0.95, the mean bias was −0.5501–0.1262 K, and the standard deviation (Std) was
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14246392