Monitoring inland water via Sentinel satellite constellation: A review and perspective
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 …
(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
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 …
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
Flood mitigation and risk management is a very challenging task that requires accurate
identification of flood hazard/susceptible regions for adequate planning and management …
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 …
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 …
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 …
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 …
Geohazard risk is high in Arab countries due to ineffective disaster preparedness measures,
mismanagement, lack of public awareness, inadequate funding and lack of stakeholder …
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 …
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 …
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 …
identifies the likelihood of flood occurrence in an area. Although various models have been …