Multi-temporal Change Analysis

Multi-Temporal Change Analysis is a methodological framework within change attribution that systematically examines temporal sequences of observational data to identify, quantify, and characterize spatiotemporal alterations in a phenomenon by distinguishing genuine change signals from temporal variability across multiple time points.

63

Publications

4.6K

Citations

264

Authors

128

Institutions

Publications per year

2017–2026

29

Authors

264

  1. HA
    Hakan Alphan

    Cukurova University, Türkiye

    2 publications · 37 citations

    2

    h-index

  2. SA
    Saygın Abdikan

    Zonguldak Bülent Ecevit University, Türkiye

    2 publications · 54 citations

    2

    h-index

  3. TK
    Thomas Kemper

    Joint Research Centre, Italy

    2 publications · 302 citations

    2

    h-index

  4. FL
    F. Lupo

    Joint Research Centre, Italy

    2 publications · 73 citations

    2

    h-index

  5. ÉF
    Éric F. Lambin

    UCLouvain, Belgium

    2 publications · 73 citations

    2

    h-index

1–5 of 264

Venues

  1. Remote Sensing

    6 publications · 447 citations

    6

    h-index

  2. International Journal of Remote Sensing

    5 publications · 130 citations

    5

    h-index

  3. Remote Sensing Applications Society and Environment

    RSASE · 2 publications · 88 citations

    2

    h-index

  4. The Science of The Total Environment

    2 publications · 50 citations

    2

    h-index

  5. Remote Sensing of Environment

    1 publications · 38 citations

    1

    h-index

1–5