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Snow depth retrieval by using robust estimation algorithm to perform multi-SNR and multi-system fusion in GNSS-IR

  • Published:2023-02 Issue:3 Volume:71 Page:1525-1542
  • ISSN:0273-1177
  • Container-title:Advances in Space Research
  • language:en
  • Short-container-title:Advances in Space Research

Author:

Zheng Naiquan,Chai Hongzhou,Chen Lingqiu,Ma Yongchao,Tian Xiangyu

Funder

National Natural Science Foundation of China

National Oceanic and Atmospheric Administration

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on GNSS-IR soil moisture retrieval based on random forest algorithm;Measurement Science and Technology;2024-07-12

2. A newly developed model for estimating snow depth in ungauged areas;Physics and Chemistry of the Earth, Parts A/B/C;2024-06

3. Implementing robust outlier detection to enhance estimation accuracy of GNSS-IR based seasonal snow depth retrievals;International Journal of Remote Sensing;2024-05-17

4. GNSS-R snow depth retrieval algorithm based on PSO-LSTM;Measurement Science and Technology;2024-03-26

5. Usability analysis of smart tablets and smart phones in GNSS-IR surface height monitoring;Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023);2024-01-23
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