Fog Remote Sensing

Fog Remote Sensing is a methodological framework within atmospheric observation techniques that employs satellite, airborne, or ground-based sensors to detect, monitor, and characterize the spatial distribution, temporal evolution, and microphysical properties of fog, distinguishing it from in situ measurements by enabling non-intrusive, large-scale, and continuous surveillance of fog events, particularly in complex terrains such as mountainous regions.

231

Publications

9.9K

Citations

875

Authors

349

Institutions

Publications per year

2017–2026

85

Authors

875

  1. JB
    Jörg Bendix

    Philipps University of Marburg, Germany

    25 publications · 1.2K citations

    19

    h-index

  2. JČ
    Jan Čermák

    Karlsruhe Institute of Technology, Germany

    15 publications · 818 citations

    13

    h-index

  3. BT
    Boris Thies

    Philipps University of Marburg, Germany

    13 publications · 492 citations

    12

    h-index

  4. IG
    Ismail Gültepe

    Environment and Climate Change Canada, Canada

    12 publications · 816 citations

    11

    h-index

  5. PO
    Pablo Osses

    Pontificia Universidad Católica de Chile, Chile

    6 publications · 548 citations

    6

    h-index

1–5 of 875

Venues

  1. Atmospheric Research

    25 publications · 1.6K citations

    20

    h-index

  2. Atmospheric Environment

    13 publications · 834 citations

    13

    h-index

  3. Remote Sensing

    10 publications · 304 citations

    10

    h-index

  4. Pure and Applied Geophysics

    PAGEOPH · 10 publications · 392 citations

    10

    h-index

  5. International Journal of Remote Sensing

    8 publications · 273 citations

    8

    h-index

1–5