Spatiotemporal Data Fusion

Spatiotemporal Data Fusion is a geospatial data fusion method that integrates heterogeneous data sources with varying spatial and temporal resolutions to generate synthesized outputs characterized by enhanced spatial detail and temporal consistency.

254

Publications

15.3K

Citations

1K

Authors

370

Institutions

Publications per year

2017–2026

224

Authors

1K

  1. XZ
    Xiaolin Zhu

    Hong Kong Polytechnic University, Hong Kong SAR China

    14 publications · 2K citations

    14

    h-index

  2. JC
    Jin Chen

    Beijing Normal University, China

    13 publications · 1.4K citations

    13

    h-index

  3. PM
    Peter M. Atkinson

    University of Southampton, United Kingdom

    8 publications · 695 citations

    8

    h-index

  4. QW
    Qunming Wang

    Tongji University, China

    8 publications · 695 citations

    8

    h-index

  5. BH
    Bo Huang

    Chinese University of Hong Kong, Hong Kong SAR China

    7 publications · 700 citations

    7

    h-index

1–5 of 1K

Venues

  1. Remote Sensing

    44 publications · 2.3K citations

    25

    h-index

  2. 19

    h-index

  3. Remote Sensing of Environment

    18 publications · 2.4K citations

    17

    h-index

  4. 13

    h-index

  5. 8

    h-index

1–5