A systematic literature review on classification machine learning for urban flood hazard mapping

M El baida, M Hosni, F Boushaba… - Water Resources …, 2024 - Springer
The computational expensiveness of the hydrodynamic models and the complexity of the
rainfall-runoff transformation process presents a pressing need to shift to machine learning …

Predicting and analyzing flood susceptibility using boosting-based ensemble machine learning algorithms with SHapley Additive exPlanations

HE Aydin, MC Iban - Natural Hazards, 2023 - Springer
In recent years, the number of floods around the world has increased. As a result, Flood
Susceptibility Maps (FSMs) became vital for flood prevention, risk mitigation, and decision …

Comparison of machine learning algorithms for flood susceptibility mapping

ST Seydi, Y Kanani-Sadat, M Hasanlou, R Sahraei… - Remote Sensing, 2022 - mdpi.com
Floods are one of the most destructive natural disasters, causing financial and human losses
every year. As a result, reliable Flood Susceptibility Mapping (FSM) is required for effective …

[HTML][HTML] Flash flood susceptibility modelling using soft computing-based approaches: from bibliometric to meta-data analysis and future research directions

G Hinge, MA Hamouda, MM Mohamed - Water, 2024 - mdpi.com
In recent years, there has been a growing interest in flood susceptibility modeling. In this
study, we conducted a bibliometric analysis followed by a meta-data analysis to capture the …

[HTML][HTML] Flash flood detection and susceptibility mapping in the Monsoon period by integration of optical and radar satellite imagery using an improvement of a …

SV Razavi-Termeh, MB Seo, A Sadeghi-Niaraki… - Weather and Climate …, 2023 - Elsevier
Rainfall monsoons and the resulting flooding have always been cataclysmic disasters that
have heightened global concerns in light of climate change. Flood susceptibility modeling is …

Assessment of the performance of GIS-based analytical hierarchical process (AHP) approach for flood modelling in Uttar Dinajpur district of West Bengal, India

R Mitra, P Saha, J Das - Geomatics, Natural Hazards and Risk, 2022 - Taylor & Francis
Floods have received global significance in contemporary times due to their destructive
behavior, which may wreak tremendous ruin on infrastructure and civilization. The present …

Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India

S Saravanan, D Abijith, NM Reddy, KSS Parthasarathy… - Urban Climate, 2023 - Elsevier
Kerala experiences a high rate of annual rainfall and flooding resulting in a frequent natural
disaster. The objective of this study is to develop flood susceptibility maps for the Idukki …

Identification of time-varying wetlands neglected in Pakistan through remote sensing techniques

RW Aslam, H Shu, A Yaseen, A Sajjad… - … Science and Pollution …, 2023 - Springer
Abstract Aside from Ramsar Convention awareness programs, the concept of wetlands is
mostly ignored in developing countries. Wetland ecosystems are essential to hydrological …

Flood susceptibility mapping using hybrid models optimized with Artificial Bee Colony

K Plataridis, Z Mallios - Journal of Hydrology, 2023 - Elsevier
Floods are the most common type of natural hazard causing economic and human losses.
Mapping the susceptibility to flooding is essential for the effective management of flood risk …

Wetland identification through remote sensing: insights into wetness, greenness, turbidity, temperature, and changing landscapes

RW Aslam, H Shu, K Javid, S Pervaiz, F Mustafa… - Big Data Research, 2024 - Elsevier
Wetlands are important in many ways, including hydrological cycles, ecosystem diversity,
climate change, and economic activity. Despite the Ramsar Convention's awareness …