Remote Sensing Change Attribution

Remote Sensing Change Attribution is a scientific methodology that identifies and quantifies the causal drivers of observed environmental changes by analyzing temporal remote sensing data to distinguish between natural and anthropogenic forcing factors.

42

Publications

3.1K

Citations

222

Authors

133

Institutions

Publications per year

2017–2026

21

Authors

222

  1. PA
    Peter A. Stott

    Met Office, United Kingdom

    2 publications · 376 citations

    3

    h-index

  2. TP
    T. P. Barnett

    Scripps Institution of Oceanography, United States

    2 publications · 366 citations

    2

    h-index

  3. NC
    Nikolaos Christidis

    Met Office, United Kingdom

    1 publications · 40 citations

    2

    h-index

  4. SW
    Siwen Wang

    Harvard University, United States

    1 publications · 145 citations

    1

    h-index

  5. HH
    Hanne H. Christiansen

    University of Copenhagen, Denmark

    1 publications · 17 citations

    1

    h-index

1–5 of 222

Venues

  1. Climate Dynamics

    3 publications · 366 citations

    3

    h-index

  2. Ecological Indicators

    2 publications · 70 citations

    2

    h-index

  3. Environmental Earth Sciences

    2 publications · 107 citations

    2

    h-index

  4. AMBIO

    2 publications · 43 citations

    2

    h-index

  5. Environmental Science and Pollution Research

    ESPR · 2 publications · 137 citations

    2

    h-index

1–5