Investigating the role of the key conditioning factors in flood susceptibility mapping through machine learning approaches
KM Al-Kindi, Z Alabri - Earth Systems and Environment, 2024 - Springer
This study harnessed the formidable predictive capabilities of three state-of-the-art machine
learning models—extreme gradient boosting (XGB), random forest (RF), and CatBoost (CB) …
learning models—extreme gradient boosting (XGB), random forest (RF), and CatBoost (CB) …
Flood susceptibility assessment using hybrid machine learning and remote sensing in Quang Tri province, Vietnam
HD Nguyen - Transactions in GIS, 2022 - Wiley Online Library
Flooding is the most dangerous of all environmental hazards and leads to significant
impacts both on the environment and on human life. Environmental protection and water …
impacts both on the environment and on human life. Environmental protection and water …
Comparison of novel hybrid and benchmark machine learning algorithms to predict groundwater potentiality: case of a drought-prone region of medjerda basin …
F Trabelsi, S Bel Hadj Ali, S Lee - Remote Sensing, 2022 - mdpi.com
Water scarcity is a severe problem in Tunisia, particularly in the northern region crossed by
the Medjerda River, where groundwater is a conjoint water resource that is increasingly …
the Medjerda River, where groundwater is a conjoint water resource that is increasingly …
Flood susceptibility modelling of the Teesta River Basin through the AHP-MCDA process using GIS and remote sensing
MN Hossain, UH Mumu - Natural Hazards, 2024 - Springer
Abstract The Lower Teesta River basin in northern Bangladesh, which is prone to recurrent
annual flooding, requires refined flood susceptibility analysis. In this context, this paper …
annual flooding, requires refined flood susceptibility analysis. In this context, this paper …
Wetland Habitat Health Condition Modeling Using Ensemble Machine Learning Algorithms
S Talukdar, R Khatun, S Pal - … in Climate Change Scenario: Innovations in …, 2024 - Springer
The construction of the Komardanga Dam on the Dhepa River at Birganj, Bangladesh, has
precipitated significant ecological alterations in the downstream floodplain wetlands of the …
precipitated significant ecological alterations in the downstream floodplain wetlands of the …
Flood Susceptibility Mapping in the Lower Teesta River Basin, Bangladesh: A GIS and Remote Sensing Approach
MN Hossain, UH Mumu - Bangladesh: A GIS and Remote Sensing … - papers.ssrn.com
Abstract The Lower Teesta River basin in northern Bangladesh, which is prone to yearly
floods, necessitates a more refined flood susceptibility analysis because of its considerable …
floods, necessitates a more refined flood susceptibility analysis because of its considerable …