Floods are a major cause of loss of lives, destruction of infrastructure, and massive damage
to a country's economy. Floods, being natural disasters, cannot be prevented completely; …

Advances in the field of extreme event attribution allow to estimate how anthropogenic
global warming affects the odds of individual climate disasters, such as river floods. Extreme …

The objective of this study was the development of an approach based on machine learning
and GIS, namely Adaptive Neuro-Fuzzy Inference System (ANFIS), Gradient-Based …

Accurate information on flood extent and exposure is critical for disaster management in
data-scarce, vulnerable regions, such as Sub-Saharan Africa (SSA). However, uncertainties …

Soil moisture (SM) is an essential climate variable, governing land‐atmosphere interactions,
runoff generation, and vegetation growth and productivity. Timely forecasts of SM spatial …

Surface soil moisture (SSM) is a key parameter for land surface hydrological processes. In
recent years, satellite remote sensing images have been widely used for SSM estimation …

A capability for mapping meter-level resolution soil moisture with frequent temporal
sampling over large regions is essential for quantifying local-scale environmental …

Rapid and accurate maps of floods across large domains, with high temporal resolution
capturing event peaks, have applications for flood forecasting and resilience, damage …

High spatial and temporal resolution remote sensing data are becoming readily available.
This has made the use of remote sensing to monitor and quantify spatiotemporal changes in …

In our world of rapid change, floods are a growing threat. In this context, flood extent
mapping is important for damage and accurate and timely information about flood-affected …