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Water Institute of the Gulf

United States

1 paper here11 citations across 1
fields
  • physics.geo-ph1
ROR 05jsqgv79OpenAlex

affiliations via OpenAlex

most citedPhysically-based dimensionless features for pluvial flood mapping with machine learning

11 citations

researchers with a paper here
  • A. Parolari1 · h 19
  • Assaad Mrad1 · h 9
  • Curtis Smith1 · h 3
  • Jinshu Li1 · h 7
  • J. Van Blitterswyk1 · h 5
  • Lalitha Krishnamoorthy1 · h 2
  • Mark S. Bartlett1 · h 3
  • M. Farella1 · h 6
collaborating institutions
  • Marquette UniversityUS1 paper
  • Stantec (Canada)CA1 paper
  • Stantec (United States)US1 paper

1 paper

physics.geo-ph2022★ 11 cited

Physically-based dimensionless features for pluvial flood mapping with machine learning

Mark S. Bartlett, Jared Van Blitterswyk, Martha Farella +5

Rapid delineation of flash flood extents is critical to mobilize emergency resources and to manage evacuations, thereby saving lives and property. Machine learning (ML) approaches…

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