This review evaluates flood detection advancements in earth observation, 3D data integration, and AI, indicating a need for improved real-time responses.
Key Points
Flood detection methods have advanced, allowing better water depth estimation and urban impact analysis, crucial for effective emergency management.
Key technologies compared include earth observation datasets like SAR and optical imagery alongside 3D datasets such as digital elevation models.
Assessment utilizes a review framework based on the capabilities of earth observation services and artificial intelligence techniques in flood mapping.
Integration of AI, despite challenges in model transferability and uncertainty quantification, is vital for enhancing automation in flood monitoring.