Multi-Sensor Remote Sensing Synergies for Flood Hazard Monitoring and Geomorphic Analysis

Dear Colleagues,

Floods are among the most widespread and dynamic natural hazards, exerting a dominant control on geomorphic processes, sediment fluxes, and landscape evolution. Beyond their immediate hydrological impact, floods act as catalysts of complex and interconnected surface processes, influencing erosion, deposition, channel morphology, and ecosystem functioning. Understanding these interrelations is fundamental for advancing flood hazard assessment, environmental management, and resilience strategies at multiple spatial and temporal scales. The increasing availability of multi-sensor remote sensing data—from optical and radar satellite missions to LiDAR and UAV systems—offers unprecedented opportunities to investigate the full spectrum of flood-related phenomena. However, integrating these heterogeneous observations into coherent, process-oriented frameworks capable of linking hydrological dynamics with geomorphic responses remains a major scientific and technical challenge.

This Special Issue aims to promote innovative research that leverages multi-sensor remote sensing for integrated flood hazard monitoring and geomorphic analysis, emphasizing the need to connect hydrological forcing, surface cascade processes, and landscape responses within a unified perspective. We welcome contributions that address methodological advances, multi-sensor data fusion, modeling and simulation frameworks, and applied studies spanning diverse environmental settings and timescales.

Potential topics include the following:

• Multi-sensor approaches for flood detection, mapping, and temporal monitoring;
• Remote sensing of geomorphic and sedimentary changes connected with floods;
• Integration of optical, microwave, and LiDAR remotely sensed data for floodplain morphology and sediment transport characterization;
• Machine learning, AI, and data assimilation for multi-source flood hazard and geomorphic modeling;
• Landscape evolution and flood hazard trends derived from multi-temporal datasets;
• Applications to flood risk management, river restoration, and sustainable watershed planning.

By bridging hydrological, geomorphological, and environmental perspectives through remote sensing, this Special Issue seeks to provide a holistic understanding of the interactions and feedbacks among flood-related processes, fostering improved prediction, mitigation, and landscape resilience.

Dr. Marina Zingaro
Dr. Domenico Capolongo
Dr. Alberto Refice
Guest Editors

Manuscript Submission Information

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