Snowmelt detection on the Antarctic ice sheet and ice Shelves based on AMSR2 89 GHz channels
Currently, the spatial resolution of snowmelt detection based on low-frequency brightness temperature data (less than or equal to 36 GHz) from the Advanced Microwave Scanning Radiometer 2 (AMSR2) is low, which inhibits the determination of accurate snowmelt changes. The spatial resolution of the AMS...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-09-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23005459 |
| _version_ | 1797802841136431104 |
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| author | Xingdong Wang Zhi Guo Haowei Zhang Yanchuang Zhao Yuhua Wang |
| author_facet | Xingdong Wang Zhi Guo Haowei Zhang Yanchuang Zhao Yuhua Wang |
| author_sort | Xingdong Wang |
| collection | DOAJ |
| description | Currently, the spatial resolution of snowmelt detection based on low-frequency brightness temperature data (less than or equal to 36 GHz) from the Advanced Microwave Scanning Radiometer 2 (AMSR2) is low, which inhibits the determination of accurate snowmelt changes. The spatial resolution of the AMSR2 89 GHz data is at least twice that of other microwave channels, but liquid water in clouds seriously affects the propagation of the high-frequency microwave signal. In order to apply microwave radiometer AMSR-2 89 GHz data with high spatial resolution but easily disturbed by clouds and water vapor to Antarctic ice-sheet near-surface snowmelt detection, this paper builds a screening model and correction model for 89 GHz data with large interference based on the high reliability of AMSR-2 36 GHz data and the high spatial resolution of 89 GHz data and the internal relationship between the two data. The method proposed in this paper was compared with the cross-polarised gradient ratio (XPGR) algorithm and six automatic weather stations. The average detection accuracy of the proposed method and the XPGR algorithm is 97% and 95%, respectively. The experimental results show that the snowmelt detection method proposed in this paper can more accurately detect the snowmelt on the Antarctic Ice Sheet and Ice Shelves. |
| first_indexed | 2024-03-13T05:12:51Z |
| format | Article |
| id | doaj.art-399e843b9df04d3491c0cd17f4021199 |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-13T05:12:51Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-399e843b9df04d3491c0cd17f40211992023-06-16T05:08:40ZengElsevierEcological Indicators1470-160X2023-09-01153110403Snowmelt detection on the Antarctic ice sheet and ice Shelves based on AMSR2 89 GHz channelsXingdong Wang0Zhi Guo1Haowei Zhang2Yanchuang Zhao3Yuhua Wang4Corresponding 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, ChinaCollege of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCurrently, the spatial resolution of snowmelt detection based on low-frequency brightness temperature data (less than or equal to 36 GHz) from the Advanced Microwave Scanning Radiometer 2 (AMSR2) is low, which inhibits the determination of accurate snowmelt changes. The spatial resolution of the AMSR2 89 GHz data is at least twice that of other microwave channels, but liquid water in clouds seriously affects the propagation of the high-frequency microwave signal. In order to apply microwave radiometer AMSR-2 89 GHz data with high spatial resolution but easily disturbed by clouds and water vapor to Antarctic ice-sheet near-surface snowmelt detection, this paper builds a screening model and correction model for 89 GHz data with large interference based on the high reliability of AMSR-2 36 GHz data and the high spatial resolution of 89 GHz data and the internal relationship between the two data. The method proposed in this paper was compared with the cross-polarised gradient ratio (XPGR) algorithm and six automatic weather stations. The average detection accuracy of the proposed method and the XPGR algorithm is 97% and 95%, respectively. The experimental results show that the snowmelt detection method proposed in this paper can more accurately detect the snowmelt on the Antarctic Ice Sheet and Ice Shelves.http://www.sciencedirect.com/science/article/pii/S1470160X23005459Antarctic Ice Sheet89 GHz dataMicrowave radiometerSnowmelt |
| spellingShingle | Xingdong Wang Zhi Guo Haowei Zhang Yanchuang Zhao Yuhua Wang Snowmelt detection on the Antarctic ice sheet and ice Shelves based on AMSR2 89 GHz channels Ecological Indicators Antarctic Ice Sheet 89 GHz data Microwave radiometer Snowmelt |
| title | Snowmelt detection on the Antarctic ice sheet and ice Shelves based on AMSR2 89 GHz channels |
| title_full | Snowmelt detection on the Antarctic ice sheet and ice Shelves based on AMSR2 89 GHz channels |
| title_fullStr | Snowmelt detection on the Antarctic ice sheet and ice Shelves based on AMSR2 89 GHz channels |
| title_full_unstemmed | Snowmelt detection on the Antarctic ice sheet and ice Shelves based on AMSR2 89 GHz channels |
| title_short | Snowmelt detection on the Antarctic ice sheet and ice Shelves based on AMSR2 89 GHz channels |
| title_sort | snowmelt detection on the antarctic ice sheet and ice shelves based on amsr2 89 ghz channels |
| topic | Antarctic Ice Sheet 89 GHz data Microwave radiometer Snowmelt |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23005459 |
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