Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …

Accurate assessment of soil water erosion (SWE) susceptibility is critical for reducing land
degradation and soil loss, and for mitigating the negative impacts of erosion on ecosystem …

Traditional approaches to flood modelling mostly rely on hydrodynamic physical simulations.
While these simulations can be accurate, they are computationally expensive and …

Timely understanding of affected areas during disasters is essential for the implementation
of emergency response activities. As one of the low-cost and information-rich volunteer …

Frequent forest fires are causing severe harm to the natural environment, such as
decreasing air quality and threatening different species; therefore, developing accurate …

Vision-based semantic segmentation of waterbodies and nearby related objects provides
important information for managing water resources and handling flooding emergency …

In this study, tree-selection/plantation decision support systems (DSSs) were reviewed and
evaluated against essential objectives in the available literature. We verified whether …

Real-time semantic segmentation of aerial imagery is essential for unmanned ariel vehicle
applications, including military surveillance, land characterization, and disaster damage …

The use of automated methods for detecting and classifying different types of labels in flood
images have important applications in hydrologic prediction. In this research, we propose a …

Effective monitoring and forecasting of urban flooding are crucial for climate change
adaptation and resilience around the world. We proposed a novel and automatic system for …