Develop an Approach for Mapping an Accurate and Appropriate Flood Susceptibility for Quang Binh Province, Vietnam, Using Machine Learning Algorithms and Remote Sensing
Authors
Hung Tran Dang
VietNam Institute of Meteorology, Hydrology, Environment and Marine Sciences, Vietnam Ministry of Agriculture and Environment, Hanoi, Vietnam
Tinh Tran Van
Faculty of Meteorology and Hydrology, Hanoi University of Natural Resources and Environment, Hanoi, Vietnam
Bang Nguyen Thanh
VietNam Institute of Meteorology, Hydrology, Environment and Marine Sciences, Vietnam Ministry of Agriculture and Environment, Hanoi, Vietnam
Nga Pham Thi Thanh
VietNam Institute of Meteorology, Hydrology, Environment and Marine Sciences, Vietnam Ministry of Agriculture and Environment, Hanoi, Vietnam
Huyen Bui Thanh
VietNam Institute of Meteorology, Hydrology, Environment and Marine Sciences, Vietnam Ministry of Agriculture and Environment, Hanoi, Vietnam
Hiep Quang Pham
VietNam Institute of Meteorology, Hydrology, Environment and Marine Sciences, Vietnam Ministry of Agriculture and Environment, Hanoi, Vietnam
DOI: https://doi.org/10.2478/cee-2026-0089 | Journal eISSN: 2199-6512 (formerly 1336-5835) | Journal ISSN: 1336-5835
Language: English
Submitted on: Dec 12, 2025
Accepted on: Jan 23, 2026
Published on: Mar 19, 2026
Published by: University of Žilina
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2026 Hung Tran Dang, Tinh Tran Van, Bang Nguyen Thanh, Nga Pham Thi Thanh, Huyen Bui Thanh, Hiep Quang Pham, published by University of Žilina
This work is licensed under the Creative Commons Attribution 4.0 License.