There is a growing interest in developing GEE applications to improve the reusability of GEE
scripts and reduce manual effort for water-body extraction. Right now, there is a need for …

Recently, there are attempts to expand the current usage of satellite Earth surface
observation images to forward-looking applications to support decision-making and fast …

Floods rank among the most devastating natural hazards globally. Unlike many other natural
calamities, floods typically occur in densely populated regions, resulting in immediate and …

The literature on deep learning applications for hydrologic research could be broadly
summarized as repeated usage of the similar deep learning architectures for new regions …

Flooding is one of the most prevalent types of natural disasters affecting communities
worldwide. It is expected to persist with increasing magnitude and frequency due to climate …

Floods rank among the most devastating natural disasters, challenging humanity for over a
millennium. Recent advancements in physical sciences have significantly enhanced our …

The expectation of improved flood warnings has become critical for many agencies and
communities at a time when flooding is increasingly severe and widespread. Formulation of …