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    Volume 51 Issue 6
    Jun.  2026
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    Zhang Jun, Zeng Xiaoyue, Wan Jun, Liu Jinghui, 2026. Snow Cover Reconstruction via Multisource Data Fusion Using Fengyun Satellites in Upper Jinsha River Basin. Earth Science, 51(6): 2418-2432. doi: 10.3799/dqkx.2026.164
    Citation: Zhang Jun, Zeng Xiaoyue, Wan Jun, Liu Jinghui, 2026. Snow Cover Reconstruction via Multisource Data Fusion Using Fengyun Satellites in Upper Jinsha River Basin. Earth Science, 51(6): 2418-2432. doi: 10.3799/dqkx.2026.164

    Snow Cover Reconstruction via Multisource Data Fusion Using Fengyun Satellites in Upper Jinsha River Basin

    doi: 10.3799/dqkx.2026.164
    • Received Date: 2025-11-10
      Available Online: 2026-07-17
    • Publish Date: 2026-06-25
    • To address the issue of missing data in snow cover products caused by cloud contamination in remote sensing imagery, this study proposes a snow cover reconstruction method based on the fusion of multisource data, including Fengyun satellite observations. A seven-step cloud removal process was employed to achieve daily, accurate, cloud-free snow cover monitoring in the upper Jinsha River basin. The results indicate that the reconstructed snow cover product attains an overall accuracy of 0.94 and a Kappa coefficient of 0.80, outperforming the widely used IMS product from the United States. However, the overall accuracy slightly declines within snow transition zones at altitudes of approximately 4.3 km and 5.6 km, and it varies according to slope aspect. Moreover, the precision of the reconstructed product in forested areas is considerably lower (0.18) than in other land cover types. Future enhancements to the reconstruction method should incorporate slope aspect and forest-specific characteristics to improve the accuracy of multisource fused, cloud-free snow cover products.

       

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