Multi-sensor Snow Fusion

Multi-Sensor Snow Fusion is a snow monitoring framework that integrates heterogeneous observational data from multiple sensor types to improve the accuracy and spatiotemporal resolution of snow property retrievals by leveraging complementary strengths and mitigating individual sensor limitations.

18

Publications

1.1K

Citations

96

Authors

56

Institutions

Publications per year

2017–2026

12

Authors

96

  1. TC
    Tao Che

    Chinese Academy of Sciences, China

    2 publications · 86 citations

    2

    h-index

  2. LD
    Liyun Dai

    Chinese Academy of Sciences, China

    2 publications · 86 citations

    2

    h-index

  3. HX
    Haoran Xie

    Education University of Hong Kong, Hong Kong SAR China

    1 publications · 81 citations

    1

    h-index

  4. ZY
    Zong‐Liang Yang

    The University of Texas at Austin, United States

    1 publications · 109 citations

    1

    h-index

  5. SA
    Stelios Andreadis

    Information Technologies Institute, Greece

    1 publications · 20 citations

    1

    h-index

1–5 of 96

Venues

  1. Remote Sensing

    3 publications · 96 citations

    3

    h-index

  2. IEEE Geoscience and Remote Sensing Letters

    GRSL · 2 publications · 133 citations

    2

    h-index

  3. Geoscientific model development

    1 publications · 47 citations

    1

    h-index

  4. IEEE Sensors Journal

    1 publications · 50 citations

    1

    h-index

  5. Advances in Space Research

    1 publications · 14 citations

    1

    h-index

1–5