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The Innovation Geoscience > 2024 Vol. 2 > No. 2 > 100062
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Measuring global snow water equivalent from passive microwave remote sensing: opportunities and challenges

  • 1.

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

  • 2.

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

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  • Corresponding author: lizhen@aircas.ac.cn 
  • Received Date:  January 19, 2024
    Accepted Date:  March 22, 2024
    Published Online:  March 28, 2024
The Innovation Geoscience  2(2),  https://doi.org/10.59717/j.xinn-geo.2024.100062  |  Cite this article
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  • [1] Pulliainen J., Luojus K., Derksen C., et al. (2020). Patterns and trends of Northern Hemisphere snow mass from 1980 to 2018, Nature 581 (7808): 294-298. DOI:10.1038/s41586-020-2258-0.

    View in Article Google Scholar

    [2] Dai L., Che T., Xiao L., et al. (2022). Improving the snow volume scattering algorithm in a microwave forward model by using ground-based remote sensing snow observations, IEEE Transactions on Geoscience and Remote Sensing 60 : 1-17. DOI:10.1109/TGRS.2021.3064309.

    View in Article Google Scholar

    [3] Gao S., Li Z., Zhang P., et al. (2023). A novel global snow depth retrieval method considering snow metamorphism and forest influence, Remote Sensing of Environment 295 : 1-17. DOI:10.1016/j.rse.2023.113712.

    View in Article Google Scholar

    [4] Pan J., Yang J., Jiang L., et al. (2023). Combination of snow process model priors and site representativeness evaluation to improve the global snow depth retrieval based on passive microwaves, IEEE Transactions on Geoscience and Remote Sensing 61 : 1-20. DOI:10.1109/TGRS.2023.3276651.

    View in Article Google Scholar

    [5] Shi J., Xiong C., and Jiang L. (2016). Review of snow water equivalent microwave remote sensing, Science China Earth Sciences 59 : 731-745. DOI:10.1007/s11430-015-5225-0.

    View in Article Google Scholar

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  • Cite this article:

    Gao S., Zeng J., Li Z., et al., (2024). Measuring global snow water equivalent from passive microwave remote sensing: opportunities and challenges. The Innovation Geoscience 2(2): 100062. https://doi.org/10.59717/j.xinn-geo.2024.100062
    Gao S., Zeng J., Li Z., et al., (2024). Measuring global snow water equivalent from passive microwave remote sensing: opportunities and challenges. The Innovation Geoscience 2(2): 100062. https://doi.org/10.59717/j.xinn-geo.2024.100062

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