Characterizing urban hydrographs during rain storms, hurricanes, and river floods is
important to decrease loss of lives and assist emergency responders with mapping …

Flood verification and mitigation based on ground survey has been impeded by many
factors. For instance, damage assessment exclusively by onsite expedition could be delayed …

High-frequency dynamic monitoring of flood disaster using remote sensing technology is
crucial for accurate decision-making of disaster prevention and relief. However, the current …

This project aims to propose a new water level classification model into the flood monitoring
system by integrating it with the Artificial Intelligence technology, Convolutional Neural …

Flood related disasters have been the cause of millions of misplaced people and casualties
worldwide. Hence it is necessary to develop monitoring systems capable of measuring water …

Abstract Spatial Modeling of Flood Risk and Hazard: Societal Implication offers a flexible
medium for the study of the prediction and assessment of flood risk, human interference …

Work has been carried out on the study of forest areas located on the territory of Northern
Kazakhstan. The study of the soil was carried out by the method of laying soil sections and …

Flood observation uncertainties are crucial data to appreciate the accuracy of flood
discharge, extent, and depth observations. Overall, the current global system of observations …

Work has been carried out to create a system for forecasting and monitoring spring floods on
the Ishim River using remote sensing data of the Earth. The model was based on information …

The real-time sensing data in sensor networks are mostly data stream, and due to the
inevitable factors such as external natural environment and man-made interference of …