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[HTML][HTML] Flood susceptibility map**: integrating machine learning and GIS for enhanced risk assessment
Flooding presents a formidable challenge in the United States, endangering lives and
causing substantial economic damage, averaging around $5 billion annually. Addressing …
causing substantial economic damage, averaging around $5 billion annually. Addressing …
Flood susceptible prediction through the use of geospatial variables and machine learning methods
Floods are one of the most perilous natural calamities that cause property destruction and
endanger human life. The spatial patterns of flood susceptibility were assessed in this study …
endanger human life. The spatial patterns of flood susceptibility were assessed in this study …
[HTML][HTML] Flood prediction with time series data mining: Systematic review
The global community is continuously working to minimize the impact of disasters through
various actions, including earth surveying. For example, flood-prone areas must be …
various actions, including earth surveying. For example, flood-prone areas must be …
Modelling flood susceptibility based on deep learning coupling with ensemble learning models
Modelling flood susceptibility is an indirect way to reduce the loss from flood disaster. Now,
flood susceptibility modelling based on data driven model is state-of-the-art method such as …
flood susceptibility modelling based on data driven model is state-of-the-art method such as …
[HTML][HTML] A novel framework for addressing uncertainties in machine learning-based geospatial approaches for flood prediction
Globally, many studies on machine learning (ML)-based flood susceptibility modeling have
been carried out in recent years. While majority of those models produce reasonably …
been carried out in recent years. While majority of those models produce reasonably …
Urban flood vulnerability assessment in a densely urbanized city using multi-factor analysis and machine learning algorithms
Flood is considered as the most devastating natural hazards that cause the death of many
lives worldwide. The present study aimed to predict flood vulnerability for Warsaw, Poland …
lives worldwide. The present study aimed to predict flood vulnerability for Warsaw, Poland …
Living with floods using state-of-the-art and geospatial techniques: flood mitigation alternatives, management measures, and policy recommendations
Flood, a distinctive natural calamity, has occurred more frequently in the last few decades all
over the world, which is often an unexpected and inevitable natural hazard, but the losses …
over the world, which is often an unexpected and inevitable natural hazard, but the losses …
GIS-based hybrid machine learning for flood susceptibility prediction in the Nhat Le–Kien Giang watershed, Vietnam
Floods is a natural hazard that occurs over a short time with a high transmission speed.
Flood risk management in many countries employs flood susceptibility modeling to mitigate …
Flood risk management in many countries employs flood susceptibility modeling to mitigate …
Spatial modeling of flood hazard using machine learning and GIS in Ha Tinh province, Vietnam
The objective of this study was the development of an approach based on machine learning
and GIS, namely Adaptive Neuro-Fuzzy Inference System (ANFIS), Gradient-Based …
and GIS, namely Adaptive Neuro-Fuzzy Inference System (ANFIS), Gradient-Based …
Flood susceptibility map** leveraging open-source remote-sensing data and machine learning approaches in Nam Ngum River Basin (NNRB), Lao PDR
Frequent floods caused by monsoons and rainstorms have significantly affected the
resilience of human and natural ecosystems in the Nam Ngum River Basin, Lao PDR. A cost …
resilience of human and natural ecosystems in the Nam Ngum River Basin, Lao PDR. A cost …