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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Published in:Remote Sensing
Main Authors: Haihua Chen, Xin Meng, Lele Li, Kun Ni
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2022
Subjects:
Q
Online Access:https://doi.org/10.3390/rs14246392
https://doaj.org/article/8fc334929c384aa09d0220643b3300ab
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spelling ftdoajarticles:oai:doaj.org/article:8fc334929c384aa09d0220643b3300ab 2023-05-15T14:52:25+02:00 Quality Assessment of FY-3D/MERSI-II Thermal Infrared Brightness Temperature Data from the Arctic Region: Application to Ice Surface Temperature Inversion Haihua Chen Xin Meng Lele Li Kun Ni 2022-12-01T00:00:00Z https://doi.org/10.3390/rs14246392 https://doaj.org/article/8fc334929c384aa09d0220643b3300ab EN eng MDPI AG https://www.mdpi.com/2072-4292/14/24/6392 https://doaj.org/toc/2072-4292 doi:10.3390/rs14246392 2072-4292 https://doaj.org/article/8fc334929c384aa09d0220643b3300ab Remote Sensing, Vol 14, Iss 6392, p 6392 (2022) MERSI MODIS brightness temperature quality assessment ice surface temperature Science Q article 2022 ftdoajarticles https://doi.org/10.3390/rs14246392 2022-12-30T19:30:26Z 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 ( T b ) data in the Arctic, channel 24 and 25 data from the FY-3D/MERSI-II on Arctic ice were evaluated. The thermal infrared T b 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 T b data between the MERSI and MODIS were >0.95, the mean bias was −0.5501–0.1262 K, and the standard deviation (Std) was <1.3582 K. After linear fitting, the MERSI-II thermal infrared T b data were closer to the MODIS data, and the bias range of the 11 μm and 12 μm channels was −0.0214–0.0119 K and the Std was <1.2987 K. These results indicate that the quality of the MERSI-II data is comparable to that of the MODIS data, so that can be used for application to IST inversion. When using the MERSI thermal infrared T b data after calibration to retrieve the IST, the results of the MERSI and MODIS IST were more consistent. By comparing the IST retrieved from the MERSI thermal infrared calibrated T b data with MODIS MYD29 product, the mean bias was −0.0612–0.0423 °C and the Std was <1.3988 °C. Using the MERSI thermal infrared T b data after calibration is better than that before calibration for retrieving the IST. When comparing the Arctic ocean sea and ice surface temperature reprocessed data (L4 SST/IST) with the IST data retrieved from ... Article in Journal/Newspaper Arctic Arctic Ocean Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Remote Sensing 14 24 6392
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic MERSI
MODIS
brightness temperature
quality assessment
ice surface temperature
Science
Q
spellingShingle MERSI
MODIS
brightness temperature
quality assessment
ice surface temperature
Science
Q
Haihua Chen
Xin Meng
Lele Li
Kun Ni
Quality Assessment of FY-3D/MERSI-II Thermal Infrared Brightness Temperature Data from the Arctic Region: Application to Ice Surface Temperature Inversion
topic_facet MERSI
MODIS
brightness temperature
quality assessment
ice surface temperature
Science
Q
description 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 ( T b ) data in the Arctic, channel 24 and 25 data from the FY-3D/MERSI-II on Arctic ice were evaluated. The thermal infrared T b 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 T b data between the MERSI and MODIS were >0.95, the mean bias was −0.5501–0.1262 K, and the standard deviation (Std) was <1.3582 K. After linear fitting, the MERSI-II thermal infrared T b data were closer to the MODIS data, and the bias range of the 11 μm and 12 μm channels was −0.0214–0.0119 K and the Std was <1.2987 K. These results indicate that the quality of the MERSI-II data is comparable to that of the MODIS data, so that can be used for application to IST inversion. When using the MERSI thermal infrared T b data after calibration to retrieve the IST, the results of the MERSI and MODIS IST were more consistent. By comparing the IST retrieved from the MERSI thermal infrared calibrated T b data with MODIS MYD29 product, the mean bias was −0.0612–0.0423 °C and the Std was <1.3988 °C. Using the MERSI thermal infrared T b data after calibration is better than that before calibration for retrieving the IST. When comparing the Arctic ocean sea and ice surface temperature reprocessed data (L4 SST/IST) with the IST data retrieved from ...
format Article in Journal/Newspaper
author Haihua Chen
Xin Meng
Lele Li
Kun Ni
author_facet Haihua Chen
Xin Meng
Lele Li
Kun Ni
author_sort Haihua Chen
title Quality Assessment of FY-3D/MERSI-II Thermal Infrared Brightness Temperature Data from the Arctic Region: Application to Ice Surface Temperature Inversion
title_short Quality Assessment of FY-3D/MERSI-II Thermal Infrared Brightness Temperature Data from the Arctic Region: Application to Ice Surface Temperature Inversion
title_full Quality Assessment of FY-3D/MERSI-II Thermal Infrared Brightness Temperature Data from the Arctic Region: Application to Ice Surface Temperature Inversion
title_fullStr Quality Assessment of FY-3D/MERSI-II Thermal Infrared Brightness Temperature Data from the Arctic Region: Application to Ice Surface Temperature Inversion
title_full_unstemmed Quality Assessment of FY-3D/MERSI-II Thermal Infrared Brightness Temperature Data from the Arctic Region: Application to Ice Surface Temperature Inversion
title_sort quality assessment of fy-3d/mersi-ii thermal infrared brightness temperature data from the arctic region: application to ice surface temperature inversion
publisher MDPI AG
publishDate 2022
url https://doi.org/10.3390/rs14246392
https://doaj.org/article/8fc334929c384aa09d0220643b3300ab
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
genre_facet Arctic
Arctic Ocean
op_source Remote Sensing, Vol 14, Iss 6392, p 6392 (2022)
op_relation https://www.mdpi.com/2072-4292/14/24/6392
https://doaj.org/toc/2072-4292
doi:10.3390/rs14246392
2072-4292
https://doaj.org/article/8fc334929c384aa09d0220643b3300ab
op_doi https://doi.org/10.3390/rs14246392
container_title Remote Sensing
container_volume 14
container_issue 24
container_start_page 6392
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