Sea ice concentration inversion based on ASI algorithm combined with Bootstrap algorithm
Weather filters are frequently used to lessen the interference while using the ARTSIST Sea Ice (ASI) algorithm, which is based on Advanced Microwave Scanning Radiometer for EOS/Advanced Microwave Scanning Radiometer-2 (AMSR-E/AMSR-2) 89 GHz brightness temperature (Tb) data to calculate sea ice conce...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23016266 |
| _version_ | 1797371406387773440 |
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| author | Xingdong Wang Zhi Guo Yanchuang Zhao Zhen Yang |
| author_facet | Xingdong Wang Zhi Guo Yanchuang Zhao Zhen Yang |
| author_sort | Xingdong Wang |
| collection | DOAJ |
| description | Weather filters are frequently used to lessen the interference while using the ARTSIST Sea Ice (ASI) algorithm, which is based on Advanced Microwave Scanning Radiometer for EOS/Advanced Microwave Scanning Radiometer-2 (AMSR-E/AMSR-2) 89 GHz brightness temperature (Tb) data to calculate sea ice concentration (SIC) with high spatial resolution. However, the weather filters may cause low concentration sea ice to be mistaken for sea water, which decreases the accuracy of the SIC inversion. This paper proposed the ASI algorithm combined with the Bootstrap (BT) algorithm for SIC inversion to increase the accuracy of the SIC inversion. First, use the weather filters to screen out an area that has been disrupted by the external factors like clouds and water vapor. Second, the BT algorithm is used in this area to accomplish SIC inversion. Based on the proposed method, the Antarctic SIC results in February 2018 were obtained and compared with the SIC obtained from the ASI algorithm. The results demonstrated that the SIC inversion based on ASI algorithm combined with BT algorithm is practicable. By comparing the SIC results of Landsat-8 data, it was further verified that the SIC inversion based on ASI algorithm combined with BT algorithm has higher accuracy compared to the ASI algorithm. As a result, the accuracy of SIC inversion can be improved to some extent by combining the ASI algorithm and the BT algorithm. |
| first_indexed | 2024-03-08T18:19:22Z |
| format | Article |
| id | doaj.art-421066dd1b64431b89e9f87508c581e5 |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-08T18:19:22Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-421066dd1b64431b89e9f87508c581e52023-12-31T04:26:04ZengElsevierEcological Indicators1470-160X2024-01-01158111484Sea ice concentration inversion based on ASI algorithm combined with Bootstrap algorithmXingdong Wang0Zhi Guo1Yanchuang Zhao2Zhen Yang3College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China; Key Laboratory of Ocean Observation Technology, MNR, Tianjin 300112, ChinaCollege of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China; Corresponding author.College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, ChinaWeather filters are frequently used to lessen the interference while using the ARTSIST Sea Ice (ASI) algorithm, which is based on Advanced Microwave Scanning Radiometer for EOS/Advanced Microwave Scanning Radiometer-2 (AMSR-E/AMSR-2) 89 GHz brightness temperature (Tb) data to calculate sea ice concentration (SIC) with high spatial resolution. However, the weather filters may cause low concentration sea ice to be mistaken for sea water, which decreases the accuracy of the SIC inversion. This paper proposed the ASI algorithm combined with the Bootstrap (BT) algorithm for SIC inversion to increase the accuracy of the SIC inversion. First, use the weather filters to screen out an area that has been disrupted by the external factors like clouds and water vapor. Second, the BT algorithm is used in this area to accomplish SIC inversion. Based on the proposed method, the Antarctic SIC results in February 2018 were obtained and compared with the SIC obtained from the ASI algorithm. The results demonstrated that the SIC inversion based on ASI algorithm combined with BT algorithm is practicable. By comparing the SIC results of Landsat-8 data, it was further verified that the SIC inversion based on ASI algorithm combined with BT algorithm has higher accuracy compared to the ASI algorithm. As a result, the accuracy of SIC inversion can be improved to some extent by combining the ASI algorithm and the BT algorithm.http://www.sciencedirect.com/science/article/pii/S1470160X23016266Sea ice concentrationASI algorithmAntarcticAMSR-2Landsat-8 |
| spellingShingle | Xingdong Wang Zhi Guo Yanchuang Zhao Zhen Yang Sea ice concentration inversion based on ASI algorithm combined with Bootstrap algorithm Ecological Indicators Sea ice concentration ASI algorithm Antarctic AMSR-2 Landsat-8 |
| title | Sea ice concentration inversion based on ASI algorithm combined with Bootstrap algorithm |
| title_full | Sea ice concentration inversion based on ASI algorithm combined with Bootstrap algorithm |
| title_fullStr | Sea ice concentration inversion based on ASI algorithm combined with Bootstrap algorithm |
| title_full_unstemmed | Sea ice concentration inversion based on ASI algorithm combined with Bootstrap algorithm |
| title_short | Sea ice concentration inversion based on ASI algorithm combined with Bootstrap algorithm |
| title_sort | sea ice concentration inversion based on asi algorithm combined with bootstrap algorithm |
| topic | Sea ice concentration ASI algorithm Antarctic AMSR-2 Landsat-8 |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23016266 |
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