Hydrographic Data Processing

Hydrographic Data Processing is the systematic computational and analytical procedure within hydrographic surveying that transforms raw bathymetric, geospatial, and environmental measurements into accurate, interpretable, and standardized representations of underwater terrain and features for navigational, scientific, or engineering purposes.

188

Publications

13.3K

Citations

500

Authors

244

Institutions

Publications per year

2017–2026

28

Authors

500

  1. BL
    Bernhard Lehner

    McGill University, Canada

    3 publications · 2.6K citations

    3

    h-index

  2. WJ
    William J. Emery

    University of Colorado Boulder, United States

    3 publications · 270 citations

    3

    h-index

  3. TJ
    Trevor J. McDougall

    CSIRO Oceans and Atmosphere, Australia

    3 publications · 1.2K citations

    3

    h-index

  4. DR
    D. Randolph Watts

    University of Rhode Island, United States

    3 publications · 70 citations

    3

    h-index

  5. VG
    Viktor Gouretski

    Chinese Academy of Sciences, China

    3 publications · 321 citations

    3

    h-index

1–5 of 500

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 15 publications · 1.1K citations

    15

    h-index

  2. Geophysical Research Letters

    15 publications · 1.1K citations

    15

    h-index

  3. Journal of Physical Oceanography

    12 publications · 1.2K citations

    12

    h-index

  4. Journal of Atmospheric and Oceanic Technology

    12 publications · 958 citations

    11

    h-index

  5. The International Hydrographic Review

    5 publications · 78 citations

    5

    h-index

1–5