Remote Sensing-based Flood Mapping

Remote Sensing-Based Flood Mapping is a methodological framework within flood inundation modeling that utilizes satellite or airborne remote sensing data to detect, delineate, and monitor the spatial extent of floodwaters, distinguishing itself from other mapping approaches through its reliance on multispectral, radar, or lidar observations acquired without in-situ contact.

964

Publications

58.7K

Citations

3K

Authors

1.1K

Institutions

Publications per year

2017–2026

552

Authors

3K

  1. GS
    Guy Schumann

    University of Bristol, United Kingdom

    26 publications · 3.5K citations

    25

    h-index

  2. MC
    Marco Chini

    Luxembourg Institute of Science and Technology, Luxembourg

    26 publications · 2K citations

    20

    h-index

  3. PB
    Paul Bates

    University of Bristol, United Kingdom

    18 publications · 2.6K citations

    18

    h-index

  4. PM
    Patrick Matgen

    Luxembourg Institute of Science and Technology, Luxembourg

    20 publications · 2.2K citations

    17

    h-index

  5. SM
    Sandro Martinis

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    20 publications · 1.9K citations

    16

    h-index

1–5 of 3K

Venues

  1. Remote Sensing

    120 publications · 7.4K citations

    52

    h-index

  2. Remote Sensing of Environment

    36 publications · 4.4K citations

    33

    h-index

  3. International Journal of Remote Sensing

    38 publications · 3.8K citations

    30

    h-index

  4. Natural Hazards

    41 publications · 2.4K citations

    29

    h-index

  5. Journal of Hydrology

    25 publications · 2.2K citations

    24

    h-index

1–5