Dynamic monitoring of floods is important for water resource management and disaster
prevention. Obtaining multitemporal surface water distribution maps using remote sensing …

The agriculture sector is highly vulnerable to natural disasters and climate change, leading
to severe impacts on food security, economic stability, and rural livelihoods. The use of …

Bangladesh is one of the most flood-affected countries in the world. In the last few decades,
flood frequency, intensity, duration, and devastation have increased in Bangladesh …

This work proposes a new approach by integrating statistical, machine learning, and multi-
criteria decision analysis, including artificial neural network (ANN), logistic regression (LR) …

The occurrence of heavy rainfall in the south-eastern hilly region of Bangladesh makes this
area highly susceptible to recurrent flash flooding. As the region is the commercial capital of …

Emergency management agencies must address the challenges presented by frequent
flooding events. Remote sensing imagery provides a means for timely monitoring of rapidly …

Floods are one of the most devastating forces in nature. Several approaches for identifying
flood-prone locations have been developed to reduce the overall harmful impacts on …

Flood, a dangerous hydro-geomorphic hazard, is one of the most critically applied science
research issue. The restoration and recovery are costly and can interrupt communities' …

Flash flood is a recurrent natural hazard with substantial impacts in the Southeast US
(SEUS) due to the frequent torrential rainfalls that occur in the region, which are triggered by …