Spatio-temporal Change Detection

Spatio-Temporal Change Detection is a spatio-temporal analysis method that identifies and characterizes significant differences in spatial patterns over time by integrating both spatial and temporal dimensions within a unified computational framework.

273

Publications

12.5K

Citations

970

Authors

420

Institutions

Publications per year

2017–2026

117

Authors

970

  1. PA
    Peggy Agouris

    University of Maine, United States

    4 publications · 137 citations

    4

    h-index

  2. AS
    Anthony Stefanidis

    George Mason University, United States

    4 publications · 137 citations

    4

    h-index

  3. PJ
    Pierre‐Marc Jodoin

    Université de Sherbrooke, Canada

    3 publications · 444 citations

    3

    h-index

  4. VS
    Venkatesh Saligrama

    Boston University, United States

    3 publications · 444 citations

    3

    h-index

  5. WB
    Wadii Boulila

    Manouba University, Tunisia

    3 publications · 82 citations

    3

    h-index

1–5 of 970

Venues

  1. 8

    h-index

  2. 8

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  3. International Journal of Remote Sensing

    7 publications · 371 citations

    7

    h-index

  4. Remote Sensing

    6 publications · 289 citations

    6

    h-index

  5. Remote Sensing of Environment

    5 publications · 1.2K citations

    5

    h-index

1–5