Author:
Das Apurba,Lindenschmidt Karl-Erich
Subject
General Earth and Planetary Sciences,Geotechnical Engineering and Engineering Geology
Cited by
5 articles.
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1. UAV-based DEM augmentation using ConSinGAN for efficient flood parameter prediction with machine learning and 1D hydrodynamic models;Physics and Chemistry of the Earth, Parts A/B/C;2024-10
2. A comprehensive method to estimate flood levels of rivers subject to ice jams: A case study of the Chaudière River, Québec, Canada;Hydrology Research;2023-09-01
3. Modelling of ice jam floods under past and future climates: A review;Journal of Hydrology X;2022-05
4. Accuracy Assessment, Comparative Performance, and Enhancement of Public Domain Digital Elevation Models (ASTER 30 m, SRTM 30 m, CARTOSAT 30 m, SRTM 90 m, MERIT 90 m, and TanDEM-X 90 m) Using DGPS;Remote Sensing;2022-03-09
5. Exploring the Potential of Zoning Regulation for Reducing Ice-Jam Flood Risk Using a Stochastic Modelling Framework;Water;2021-08-12