Vegetation is a central control on the hydrological cycle: it governs evapotranspiration, soil moisture dynamics, and the partitioning of water and energy ...

Drought forecasting has evolved from empirical and physically based approaches to sophisticated data‐driven methods that integrate climate indices, hydrological models and machine learning.

A new study published in Big Earth Data proposes an operational framework that integrates multiple machine learning and deep learning models with high-resolution Sentinel-2 data to estimate ...