Deep Learning techniques have been increasingly used in flood management to overcome
the limitations of accurate, yet slow, numerical models, and to improve the results of …

Floods are amongst the most common and devastating of all natural hazards. The alarming
number of flood-related deaths and financial losses suffered annually across the world call …

The annual flood and the alteration in hydrological regimes are the most vital concerns in
the Vietnamese Mekong Delta (VMD). Although synthetic aperture radar (SAR) Sentinel-1 …

Flood management consists many aspects such as hazard assessment, vulnerability
assessment, exposure assessment, risk assessment, early warning system, damage …

Emergency responders frequently request satellite-based crisis information for flood
monitoring to target the often-limited resources and to prioritize response actions throughout …

Accurate crop-specific damage assessment immediately after flood events is crucial for grain
pricing, food policy, and agricultural trade. The main goal of this research is to estimate the …

Asian megadeltas, specifically the Ganges‐Brahmaputra‐Meghna, Irrawaddy, Chao Phraya,
Mekong, and Red River deltas host half of the world's deltaic population and are vital for …

In the past few decades, most urban areas in the world have been facing the pressure of an
increasing population living in poverty. A recent study has shown that up to 80% of the …

The remote-sensing based Flood Crop Loss Assessment Service System (RF-CLASS) is a
web service based system developed and managed by the Center for Spatial Information …

Accurate mapping and timely monitoring of urban redevelopment are pivotal for urban
studies and decision-makers to foster sustainable urban development. Traditional mapping …