Salinity Data Inversion

Salinity Data Inversion is a computational method that belongs to the class of geophysical data interpretation techniques, specifically distinguishing itself by estimating subsurface salinity distributions from indirect geophysical measurements through the solution of inverse problems.

61

Publications

2.3K

Citations

190

Authors

82

Institutions

Publications per year

2017–2026

34

Authors

190

  1. GZ
    Gengxing Zhao

    Shandong Agricultural University, China

    7 publications · 316 citations

    7

    h-index

  2. JT
    John Triantafilis

    Environmental Earth Sciences, Australia

    5 publications · 165 citations

    5

    h-index

  3. CC
    Chunyan Chang

    Shandong Agricultural University, China

    4 publications · 187 citations

    4

    h-index

  4. JH
    Jingyi Huang

    Environmental Earth Sciences, Australia

    3 publications · 133 citations

    3

    h-index

  5. MT
    Marco Talone

    Universitat Politècnica de Catalunya, Spain

    3 publications · 224 citations

    3

    h-index

1–5 of 190

Venues

  1. Remote Sensing

    5 publications · 220 citations

    5

    h-index

  2. 4

    h-index

  3. Journal of Geophysical Research Oceans

    2 publications · 149 citations

    2

    h-index

  4. 2

    h-index

  5. 2

    h-index

1–5