Monitoring inland water via Sentinel satellite constellation: A review and perspective

F Zeng, C Song, Z Cao, K Xue, S Lu, T Chen… - ISPRS Journal of …, 2023 - Elsevier
Abstract Clean Water and Sanitation, the sixth goal of Sustainable Development Goals
(SDGs 6) is a call for action by the United Nations aiming at balancing the water cycle for …

[HTML][HTML] DEM resolution effects on machine learning performance for flood probability mapping

M Avand, A Kuriqi, M Khazaei… - Journal of Hydro …, 2022 - Elsevier
Floods are among the devastating natural disasters that occurred very frequently in arid
regions during the last decades. Accurate assessment of the flood susceptibility mapping is …

Quantitative and semi-quantitative methods in flood hazard/susceptibility mapping: a review

RB Mudashiru, N Sabtu, I Abustan - Arabian Journal of Geosciences, 2021 - Springer
Flood mitigation and risk management is a very challenging task that requires accurate
identification of flood hazard/susceptible regions for adequate planning and management …

Application of genetic algorithm in optimization parallel ensemble-based machine learning algorithms to flood susceptibility mapping using radar satellite imagery

SV Razavi-Termeh, A Sadeghi-Niaraki, MB Seo… - Science of The Total …, 2023 - Elsevier
Floods are the natural disaster that occurs most frequently due to the weather and causes
the most widespread destruction. The purpose of the proposed research is to analyze flood …

Flood susceptibility mapping of Northeast coastal districts of Tamil Nadu India using Multi-source Geospatial data and Machine Learning techniques

S Saravanan, D Abijith - Geocarto International, 2022 - Taylor & Francis
Flooding is one of the most challenging and important natural disasters to predict, it is
becoming more frequent and more intense. The study area is badly damaged by devastating …

Assessment analysis of flood susceptibility in tropical desert area: a case study of Yemen

AR Al-Aizari, YA Al-Masnay, A Aydda, J Zhang… - Remote Sensing, 2022 - mdpi.com
Flooding is one of the catastrophic natural hazards worldwide that can easily cause
devastating effects on human life and property. Remote sensing devices are becoming …

Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea …

AM Youssef, B Pradhan, A Dikshit… - Geocarto …, 2022 - Taylor & Francis
Geohazard risk is high in Arab countries due to ineffective disaster preparedness measures,
mismanagement, lack of public awareness, inadequate funding and lack of stakeholder …

Flash flood susceptibility mapping using GIS-based AHP method

S Choudhury, A Basak, S Biswas, J Das - … modelling of flood risk and flood …, 2022 - Springer
Proper identification of urban flash flood susceptible areas is a crucial and essential task in
developing a comprehensive plan to address the adverse effects of this natural hazard …

Seasonal water storage and release dynamics of bofedal wetlands in the Central Andes

AC Ross, MM Mendoza, F Drenkhan… - Hydrological …, 2023 - Wiley Online Library
Tropical high‐Andean wetlands, locally known as 'bofedales', are key ecosystems
sustaining biodiversity, carbon sequestration, water provision and livestock farming …

[HTML][HTML] Spatial prediction of flood-prone areas using geographically weighted regression

JM Lin, L Billa - Environmental Advances, 2021 - Elsevier
An important non-structural solution in flood management is susceptibility mapping, which
identifies the likelihood of flood occurrence in an area. Although various models have been …