Interactive Remote Sensing Visualization

Interactive Remote Sensing Visualization is a computational visualization framework that enables real-time user engagement with remote sensing data through dynamic manipulation, exploration, and analysis, distinguishing itself from static visualization methods by incorporating responsive interfaces and iterative feedback loops for enhanced geospatial interpretation.

20

Publications

1.2K

Citations

76

Authors

32

Institutions

Publications per year

2017–2026

5

Authors

76

  1. LR
    Luc Renambot

    University of Illinois Chicago, United States

    2 publications · 34 citations

    2

    h-index

  2. QD
    Qian Du

    Mississippi State University, United States

    1 publications · 21 citations

    1

    h-index

  3. WH
    William H. Duquette

    Jet Propulsion Laboratory, United States

    1 publications · 21 citations

    1

    h-index

  4. SR
    Shawn Rowe

    Oregon State University, United States

    1 publications · 17 citations

    1

    h-index

  5. OD
    Ornl Daac

    1 publications · 152 citations

    1

    h-index

1–5 of 76

Venues

  1. 2

    h-index

  2. 1

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  3. AIP conference proceedings

    1 publications · 367 citations

    1

    h-index

  4. International Journal of Remote Sensing

    1 publications · 28 citations

    1

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 21 citations

    1

    h-index

1–5