Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/rs14194931 |
High-Resolution Inversion Method for the Snow Water Equivalent Based on the GF-3 Satellite and Optimized EQeau Model | |
Yang, Yichen; Fang, Shifeng; Wu, Hua; Du, Jiaqiang; Wang, Xiaohu; Chen, Rensheng; Liu, Yongqiang; Wang, Hao | |
通讯作者 | Fang, SF |
来源期刊 | REMOTE SENSING
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EISSN | 2072-4292 |
出版年 | 2022 |
卷号 | 14期号:19 |
英文摘要 | High-resolution snow water equivalent studies are important for obtaining a clear picture of the potential of water resources in arid areas, and SAR-based sensors can achieve meter-level snow water equivalent inversion. The advanced C-band SAR satellite Gaofen-3 (GF-3) can now achieve meter-level observations of the same area within one day and has great potential for the inversion of the snow water equivalent. The EQeau model is an empirical method for snow water equivalent inversion using C-band SAR satellites, but the model has major accuracy problems. In this paper, the EQeau model is improved by using classification of underlying surface types and polarization decomposition, and the inversion of the snow water equivalent was also completed using the new data source GF-3 input model. The results found that: (1) the classification of underlying surface types can significantly improve the fit between the snow thermal resistance and the backscattering coefficient ratio; (2) the accuracy of the snow density extracted by the GF-3 satellite using the Singh-Cloude Three-Component Hybrid (S3H) decomposition is better than IDW spatial interpolation, and the overall RMSE can reach 0.005 g/cm(3); (3) the accuracy of the optimized EQeau model is significantly improved, and the overall MRE is reduced from 27.4% to 10.3%. Compared with the original model, the optimized model is superior both in terms of verification accuracy and image detail. In the future, with the combination of advanced technologies such as the Internet of Things (IoT), long, gapless, all-weather, and high-resolution snow water equivalent inversion can be achieved, which is conducive to the realization of all-weather monitoring of the regional snow water equivalent. |
英文关键词 | snow water equivalent GF-3 the EQeau model S3H polarization decomposition |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000867181100001 |
WOS关键词 | SPATIOTEMPORAL VARIABILITY ; RADAR INTERFEROMETRY ; SPATIAL-DISTRIBUTION ; SAR DATA ; DYNAMICS ; DENSITY ; RUNOFF ; COVER ; DEPTH |
WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/394207 |
推荐引用方式 GB/T 7714 | Yang, Yichen,Fang, Shifeng,Wu, Hua,et al. High-Resolution Inversion Method for the Snow Water Equivalent Based on the GF-3 Satellite and Optimized EQeau Model[J],2022,14(19). |
APA | Yang, Yichen.,Fang, Shifeng.,Wu, Hua.,Du, Jiaqiang.,Wang, Xiaohu.,...&Wang, Hao.(2022).High-Resolution Inversion Method for the Snow Water Equivalent Based on the GF-3 Satellite and Optimized EQeau Model.REMOTE SENSING,14(19). |
MLA | Yang, Yichen,et al."High-Resolution Inversion Method for the Snow Water Equivalent Based on the GF-3 Satellite and Optimized EQeau Model".REMOTE SENSING 14.19(2022). |
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