Recent years include the world's hottest year, while they have been marked mainly, besides
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …

Geospatial artificial intelligence (GeoAI) is an interdisciplinary field that has received
tremendous attention from both academia and industry in recent years. This article reviews …

Flood occurrence is increasing due to the expansion of urbanization and extreme weather
like hurricanes; hence, research on methods of inundation monitoring and mapping has …

Near realtime flood mapping in densely populated urban areas is critical for emergency
response. The strong heterogeneity of urban areas poses a big challenge for accurate near …

Geospatial Artificial Intelligence (GeoAI) is an interdisciplinary field enjoying tremendous
adoption. However, the efficient design and implementation of GeoAI systems face many …

Floods are occurring across the globe and due to climate change, flood events are expected
to increase in upcoming years. Current situations urge more focus on efficient monitoring of …

The identification of flood hazards during emerging public safety crises such as hurricanes
or flash floods is an invaluable tool for first responders and managers yet remains out of …

With the advent of the era of big data, massive information, expert experience, and high-
accuracy models bring great opportunities to the information cascade prediction of public …

Deep learning based change detection methods have achieved the state-of-the-art
performance in several recent studies. However, such methods usually are supervised, and …

Human mobility and urban dynamics are the keys to understanding diversity and complexity
in cities. With advancement of technologies, a significant amount of geospatial data is …