Probabilistic Flood Mapping

Probabilistic Flood Mapping is a systematic method for floodplain delineation that characterizes flood hazard likelihood across landscapes by quantifying uncertainties in hydrologic, hydraulic, and topographic inputs to produce spatially explicit estimates of flood occurrence probability.

80

Publications

5.1K

Citations

269

Authors

136

Institutions

Publications per year

2017–2026

51

Authors

269

  1. PB
    Paul Bates

    University of Bristol, United Kingdom

    5 publications · 785 citations

    5

    h-index

  2. MM
    Maurizio Mazzoleni

    Uppsala University, Sweden

    4 publications · 162 citations

    4

    h-index

  3. MC
    Marco Chini

    Luxembourg Institute of Science and Technology, Luxembourg

    4 publications · 291 citations

    4

    h-index

  4. PM
    Patrick Matgen

    Luxembourg Institute of Science and Technology, Luxembourg

    4 publications · 291 citations

    4

    h-index

  5. RH
    Renaud Hostache

    Luxembourg Institute of Science and Technology, Luxembourg

    4 publications · 242 citations

    4

    h-index

1–5 of 269

Venues

  1. Water Resources Research

    6 publications · 407 citations

    6

    h-index

  2. Journal of Hydrology

    6 publications · 311 citations

    6

    h-index

  3. Natural hazards and earth system sciences

    4 publications · 254 citations

    5

    h-index

  4. Remote Sensing

    5 publications · 199 citations

    5

    h-index

  5. Journal of Flood Risk Management

    4 publications · 146 citations

    4

    h-index

1–5