Change Vector Analysis

Change Vector Analysis is a remote sensing method that identifies and quantifies temporal changes in urban land cover by computing the magnitude and direction of spectral change vectors derived from multi-temporal satellite imagery.

190

Publications

11.4K

Citations

534

Authors

238

Institutions

Publications per year

2017–2026

71

Authors

534

  1. LB
    Lorenzo Bruzzone

    University of Trento, Italy

    20 publications · 2.1K citations

    17

    h-index

  2. FB
    Francesca Bovolo

    University of Trento, Italy

    19 publications · 2.1K citations

    16

    h-index

  3. SL
    Sicong Liu

    Tongji University, China

    6 publications · 450 citations

    6

    h-index

  4. SS
    Sartajvir Singh

    Chitkara University, India

    6 publications · 115 citations

    6

    h-index

  5. RT
    Rajneesh Talwar

    Punjab Technical University, India

    6 publications · 115 citations

    6

    h-index

1–5 of 534

Venues

  1. International Journal of Remote Sensing

    27 publications · 1.5K citations

    19

    h-index

  2. Remote Sensing

    22 publications · 1.5K citations

    17

    h-index

  3. IEEE Geoscience and Remote Sensing Letters

    GRSL · 14 publications · 1K citations

    13

    h-index

  4. 13

    h-index

  5. 11

    h-index

1–5