Water Scarcity Management

Drought and Water Scarcity

Lead to socio-economic, social and environmental impacts. Policymakers and planners require novel methods to analyze data and model drought processes and its connection with water scarcity.

Artificial Intelligence and Earth Observation Approaches

Have been progressively developed and applied in water-related disasters. The target of this book is to present new advances in drought monitoring, analyzing, and modeling using artificial intelligence algorithms (e.g., machine learning, deep learning), statistical indices, and satellite remote sensing and geo-spatial data sets.

Water Scarcity Management

Will help students gain knowledge on drought prediction using free-access earth observation data and machine learning models. It will also guide scientists, researchers, and urban planners with monitoring water resources and key elements of the hydrological cycle.

Key Features

- Application of diverse artificial intelligence algorithms for spatial modeling of drought susceptibility

- Real case studies from large geographical areas

- Earth observation satellite data for spatio-temporal analysis of drought and water scarcity

- Combines geo-environmental and topo-hydrological factors with drought and water scarcity issues