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Open AccessArticle
Polar Sea Ice Monitoring Using HY-2B Satellite Scatterometer and Scanning Microwave Radiometer Measurements
by
Tao Zeng
Tao Zeng 1,2,
Lijian Shi
Lijian Shi
Dr. Lijian Shi received his Ph.D. degree in marine information detection and processing from the of [...]
Dr. Lijian Shi received his Ph.D. degree in marine information detection and processing from the Ocean University of China, Qingdao, China, in 2008. He is with the Department of Polar Monitoring, National Satellite Ocean Application Service, and also with the Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources of the People's Republic of China. His research interests include remote sensing application with multisensor data, especially on sea ice monitoring.
1,2,*
,
Yingni Shi
Yingni Shi 3,
Dunwang Lu
Dunwang Lu 1,2,4 and
Qimao Wang
Qimao Wang 1,2
1
National Satellite Ocean Application Service, Beijing 100081, China
2
Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources (MNR), Beijing 100081, China
3
Independent Researcher, Mailbox No. 5111, Beijing 100094, China
4
National Marine Environmental Forecasting Center, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(13), 2486; https://doi.org/10.3390/rs16132486 (registering DOI)
Submission received: 12 June 2024
/
Revised: 1 July 2024
/
Accepted: 3 July 2024
/
Published: 6 July 2024
Abstract
The Ku band microwave scatterometer (SCA) and scanning microwave radiometer (SMR) onboard HaiYang-2B (HY-2B) can simultaneously supply active and passive microwave observations over the polar region. In this paper, a polar ice water discrimination model and Arctic sea-ice-type classification model based on the support vector machine (SVM) method were established and used to produce a daily sea ice extent dataset from 2019 to 2021 with data from SCA and SMR. First, suitable scattering and radiation parameters are chosen as input data for the discriminant model. Then, the sea ice extent was obtained based on the monthly ice water discrimination model, and finally, the ice over the Arctic was classified into multiyear ice (MYI) and first-year ice (FYI). The 3-year ice extent and MYI extent products were consistent with the similar results of the National Snow and Ice Data Center (NSIDC) and Ocean and Sea Ice Satellite Application Facility (OSISAF). Using the OSISAF similar product as validation data, the overall accuracies (OAs) of ice/water discrimination and FYI/MYI discrimination are 99% and 97%, respectively. Compared with the high spatial resolution classification results of the Moderate Resolution Imaging Spectroradiometer (MODIS) and SAR, the OAs of ice/water discrimination and FYI/MYI discrimination are 96% and 86%, respectively. In conclusion, the SAC and SMR of HY-2B have been verified for monitoring polar sea ice, and the sea ice extent and sea-ice-type products are promising for integration into long-term sea ice records.
Share and Cite
MDPI and ACS Style
Zeng, T.; Shi, L.; Shi, Y.; Lu, D.; Wang, Q.
Polar Sea Ice Monitoring Using HY-2B Satellite Scatterometer and Scanning Microwave Radiometer Measurements. Remote Sens. 2024, 16, 2486.
https://doi.org/10.3390/rs16132486
AMA Style
Zeng T, Shi L, Shi Y, Lu D, Wang Q.
Polar Sea Ice Monitoring Using HY-2B Satellite Scatterometer and Scanning Microwave Radiometer Measurements. Remote Sensing. 2024; 16(13):2486.
https://doi.org/10.3390/rs16132486
Chicago/Turabian Style
Zeng, Tao, Lijian Shi, Yingni Shi, Dunwang Lu, and Qimao Wang.
2024. "Polar Sea Ice Monitoring Using HY-2B Satellite Scatterometer and Scanning Microwave Radiometer Measurements" Remote Sensing 16, no. 13: 2486.
https://doi.org/10.3390/rs16132486
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