Flood prediction has advanced significantly in terms of technique and capacity to achieve policymakers’ objectives accurate forecast identification flood-prone impacted areas. tools are critical for flood hazard risk management. However, numerous reviews on modelling have focused individual models. This study presents a state-of-the-art review with focus analyzing the chronological growth resea...

Abstract Streamflow forecasting generally relies on coupled rainfall-runoff-routing models calibrated and executed with data estimated by monitoring protocols that do not fully capture the dynamics of unsteady flows. This limits ability to accurately forecast flood crests issue hazard warnings. Here we utilize directly measured datasets acquired for streamflow estimation develop a data-driven a...

Flood recurrence frequency is increasing in recent times due to various causes, including climate and land use change. Monitoring of flood events evolution through satellite data is a task of maximal importance to timely provide information about actually flooded areas, escape pathways, or infrastructure damages. Moreover, accurate knowledge of extents and location of flooded areas in past even...

Flooding of small and medium rivers is caused by environmental factors like rainfall soil loosening. With the development application technologies such as Internet Things big data, disaster supervision management large river basins in China has improved over years. However, due to frequent floods medium-sized our country, current prediction early warning not accurate enough; it difficult realiz...